| Doc_id | Review | Left | Term | Right | Sentiment | Polarity | Rating | Contradiction-Based_MOY | Contradiction-Based_Ci |
| -N44X0IJEeWpogr5ZO8qxQ | Some of the interesting topics discussed in this course could be treated substantially more extensive and detailed in order to get a better grip and understanding on them (e.g. Gibbs sampling). After this course, it is a bit dazzling how much different algorithms and methods are available for clustering and retrieval tasks and this course easily could have been subdivided into two or three separate courses on the same topic with a more detailed treatment. Still, about many interesting subjects a tip of the iceberg has been brought to you ... it tastes so good that you would like to have much more! | dazzling how much different algorithms and | Method | are available for clustering and retrieval | Positive | 0.7 | 0.5 | 0.65 | 0.78 |
| -N44X0IJEeWpogr5ZO8qxQ | Very good course nice practical approach. I was kind of surprised that hierarchical clustering was kept at the end and discussed only marginally since it is a widely used approach. I liked the part about LDA but IMHO I would have liked more discussion about fundamental techniques rather than such an advanced method. Too focus on text data. Most of the application I worked on have limited textual data. | techniques rather than such an advanced | Method | Too focus on text data. Most | Negative | -0.6 | 0.5 | 0.65 | 0.78 |
| 1ndQqNPxEeSloiIAC3kKUw | I liked. these methods really drives into good time management | I liked. these | Method | really drives into good time management | Positive | 0.8 | 0.5 | 0.74 | 1.03 |
| 1ndQqNPxEeSloiIAC3kKUw | Coursera stands for its rich courses. This one is an exception, one of the worst I've ever seen so far. It's like reading a bad inspirational book. No system, no methods in place. | bad inspirational book. No system, no | Method | in place. | Negative | -0.6 | -1.0 | 0.74 | 1.03 |
| 1ndQqNPxEeSloiIAC3kKUw | very helpful with the online tools that can help with e-learning and enhance instructional methods | help with e-learning and enhance instructional | Method | | Positive | 0.6 | 0.5 | 0.74 | 1.03 |
| 1ndQqNPxEeSloiIAC3kKUw | IT was quite helpful. Simple methods that make a lot of difference in your work and personal life were explained. I really enjoyed it. Thanks. | IT was quite helpful. Simple | Method | that make a lot of difference | Positive | 0.6 | 1.0 | 0.74 | 1.03 |
| 1ndQqNPxEeSloiIAC3kKUw | This course provide many useful methods to make you aware of your time, after that you can use your time more effectively. | This course provide many useful | Method | to make you aware of your | Positive | 0.7 | 1.0 | 0.74 | 1.03 |
| 1ndQqNPxEeSloiIAC3kKUw | Simple and practical guidelines which can be followed easily. I think I will be able to apply the methods discussed in the course on daily basis without actually spending much time on learning them as they are very practical! The course has been useful in making me realize where all my time has been going without quantifiable results and hopefully I will be able to make a habit of good time management. Thank you for putting it together :-) | will be able to apply the | Method | discussed in the course on daily | Positive | 0.7 | 0.5 | 0.74 | 1.03 |
| 1ndQqNPxEeSloiIAC3kKUw | So far, I like this course the most. It covers very practical and useful methods which I can apply immediately at work place. | It covers very practical and useful | Method | which I can apply immediately at | Negative | -0.6 | 1.0 | 0.74 | 1.03 |
| 2dHcFsRdEeW2JxKnR3RyOw | Great course. I am a begainer, I learned how to start with R. I also acquired knowledge of probability. Course methodology is great, you get to learn and apply the concepts. | also acquired knowledge of probability. Course | Method | is great, you get to learn | Positive | 0.8 | 1.0 | 0.86 | 0.93 |
| 2dHcFsRdEeW2JxKnR3RyOw | I took this course hoping for a fundamental education in utilizing R for statistical analysis. Unfortunately, this course focuses heavily on statistical methods and very little on explaining the R processes used. Good for introductory stats students, not great for those interested in furthering their knowledge of R. | this course focuses heavily on statistical | Method | and very little on explaining the | Negative | -0.6 | 0.0 | 0.86 | 0.93 |
| 2H8ExCTIEeWeDBJG1XrG0w | Awesome, I really love how it started and went to the final with ease with many topics covered. Unity is a great tool, and the teacher has a great method of speaking. The projects assigned to these cover the basics for making great games, from design to script. Can't wait to continue the legacy of game making courses. Thanks Coursera! | and the teacher has a great | Method | of speaking. The projects assigned to | Positive | 0.8 | 1.0 | 0.57 | 1.15 |
| 2H8ExCTIEeWeDBJG1XrG0w | Excellent hands-on introduction to the Unity game engine, the development workflow and the many nuances of how these all work together for the artistic as well as the technical designers. I especially appreciate the instructor's careful attention to learner-centered demonstration, and for his respectful use of, as well as frequent nods to, Unity as a top notch engine for quality development. Packed with a great deal of information, and the demonstration of how to apply this knowledge, I would highly recommend this course to anyone who is wanting to break into interactive media development, or is wanting to broaden their methods and application knowledge in this area. | or is wanting to broaden their | Method | and application knowledge in this area. | Negative | -0.6 | 0.5 | 0.57 | 1.15 |
| 2H8ExCTIEeWeDBJG1XrG0w | Really enjoyed the fast paced teaching methods and the hand on training :) | Really enjoyed the fast paced teaching | Method | and the hand on training :) | Positive | 0.8 | 1.0 | 0.57 | 1.15 |
| 2H8ExCTIEeWeDBJG1XrG0w | Great Course!! Excellent teacher and methods, with very pleasant projects =) | Great Course! ! Excellent teacher and | Method | with very pleasant projects =) | Positive | 0.9 | 1.0 | 0.57 | 1.15 |
| 3G1aij8iEeWKOBLv1z6n9w | I have been teaching myself (attempting to) Korean via various methods over the past 9 months, but I really enjoyed the structure of this class. It helped me understand WHY sentences/words are structured as they are, instead of just memorizing a lot of vocabulary and cramming too much information in my head at once. Can't wait for more from Yonsei University! | myself (attempting to) Korean via various | Method | over the past 9 months, but | Negative | -0.6 | 0.5 | 0.65 | 0.95 |
| 3G1aij8iEeWKOBLv1z6n9w | Very intuitive Beginning Korean Course. The method of teaching was clear and detail. I just wish there would be more exercise for student to practice to get used to the Korean alphabet/vocabulary. Overall outstanding course. | Very intuitive Beginning Korean Course. The | Method | of teaching was clear and detail. | Positive | 0.8 | 1.0 | 0.65 | 0.95 |
| 3G1aij8iEeWKOBLv1z6n9w | It's easy for a beginning learner,the teacher taught the structure and the framework that Korean are formed.It seems that we can use the method that we learn English to learn Korean.It's an interesting course. | seems that we can use the | Method | that we learn English to learn | Positive | 0.7 | 0.5 | 0.65 | 0.95 |
| 5g_hAYo4EeWTzg6WBWinhQ | The course material is invaluably helpful for anyone looking for a new approach to innovation and provides learners with a "method" or path for what often appears as magic or intuition. Assignments are a little bit too easy to complete imo and could be made harder to deepen our understanding and make information stick for the long run. | and provides learners with a " | Method | or path for what often appears | Positive | 0.7 | 0.5 | 0.67 | 1.01 |
| 5g_hAYo4EeWTzg6WBWinhQ | This course has given me really valuable methodology to thing about new processes, how it is important for users and for the company overall. | course has given me really valuable | Method | to thing about new processes, how | Negative | -0.6 | 1.0 | 0.67 | 1.01 |
| 5g_hAYo4EeWTzg6WBWinhQ | Excellent introduction to Agile methods focusing on really understanding the customer through personas and problem statements. | Excellent introduction to Agile | Method | focusing on really understanding the customer | Positive | 0.8 | 1.0 | 0.67 | 1.01 |
| 5g_hAYo4EeWTzg6WBWinhQ | It would be nice with more than [Ted the HVAC tech] to clear things up, he is hard to relate to if you have another kind of software you want to develop. Othervise i really like the methods and the videos, the teacher is easy to understand, he has good points and is good at explaning his material. | develop. Othervise i really like the | Method | and the videos, the teacher is | Negative | -0.6 | 0.5 | 0.67 | 1.01 |
| 5g_hAYo4EeWTzg6WBWinhQ | Good course. Introduce you to agile methodology, and show how to do first steps in agile development. Also the is excellent, interesting assignment project | Good course. Introduce you to agile | Method | and show how to do first | Positive | 0.6 | 1.0 | 0.67 | 1.01 |
| 5uXCfFu2EeSU0SIACxCMgg | Thanks to this course, i am now understanding the principle and methodology of phylogenetics | am now understanding the principle and | Method | of phylogenetics | Positive | 0.6 | 0.0 | 0.54 | 0.83 |
| 5uXCfFu2EeSU0SIACxCMgg | It is really useful and informative course to learn the basis of bioinformatic methods. | to learn the basis of bioinformatic | Method | | Positive | 0.6 | 1.0 | 0.54 | 0.83 |
| 5uXCfFu2EeSU0SIACxCMgg | A good, interesting and attractive introduction to Bioinformatic methods. Professor Provart is able to make thing easy, whilst showing you how to exploit data and tools freely - well ... usually, they are for free - available on the Internet. I suggest this course to everyone approaching the topic. Personally, I will also take Bioinformatic Method II to be initiated to elements of structural Bioinformatic methods. The 5th star is missing because I would like to have some more insights about some underlying "reasons why". But, I reckon this as my own peculiarity. Good job, Professor Provart! And thank you very much for this! | interesting and attractive introduction to Bioinformatic | Method | Professor Provart is able to make | Positive | 0.6 | 0.5 | 0.54 | 0.83 |
| 5uXCfFu2EeSU0SIACxCMgg | A good, interesting and attractive introduction to Bioinformatic methods. Professor Provart is able to make thing easy, whilst showing you how to exploit data and tools freely - well ... usually, they are for free - available on the Internet. I suggest this course to everyone approaching the topic. Personally, I will also take Bioinformatic Method II to be initiated to elements of structural Bioinformatic methods. The 5th star is missing because I would like to have some more insights about some underlying "reasons why". But, I reckon this as my own peculiarity. Good job, Professor Provart! And thank you very much for this! | Personally, I will also take Bioinformatic | Method | II to be initiated to elements | Positive | 0.6 | 0.5 | 0.54 | 0.83 |
| 5uXCfFu2EeSU0SIACxCMgg | A good, interesting and attractive introduction to Bioinformatic methods. Professor Provart is able to make thing easy, whilst showing you how to exploit data and tools freely - well ... usually, they are for free - available on the Internet. I suggest this course to everyone approaching the topic. Personally, I will also take Bioinformatic Method II to be initiated to elements of structural Bioinformatic methods. The 5th star is missing because I would like to have some more insights about some underlying "reasons why". But, I reckon this as my own peculiarity. Good job, Professor Provart! And thank you very much for this! | initiated to elements of structural Bioinformatic | Method | The 5th star is missing because | Negative | -0.7 | 0.5 | 0.54 | 0.83 |
| 7A1yFTaREeWWBQrVFXqd1w | Method of delivery was excellent! | | Method | of delivery was excellent! | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | The course was really great only because of my mentor and his teaching methods I loved learning for the first time in my life. | of my mentor and his teaching | Method | I loved learning for the first | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Best method to teach programming. I loved it!!!! You made me love programming... Thank you very much...please do continue your great work in future. | Best | Method | to teach programming. I loved it! | Positive | 0.9 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | This course is amazing for people with no prior background. The teaching methodology, the structure and the professor rare just too amazing. | with no prior background. The teaching | Method | the structure and the professor rare | Positive | 0.6 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | This is my first course in Coursera, it's so excellent a trip. The content is so friendly for the beginners to start with and the logic in teaching methods are nice, too. Hope someday I can continue my further study with again. Thanks a lot. | with and the logic in teaching | Method | are nice, too. Hope someday I | Positive | 0.6 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | I have tried to take a few of the free online courses in Python and none compare to the teaching methods of this course. It moves so eloquently that anyone can learn Python through this course, even me. It does not jump to long confusing lines of code or randomly introduce functions/features not discussed. Rather, it sticks to small lines of code to get the point across until you are comfortable with it. the tools achieved in this course are valuable for anyone in any field needed to analyze and/or manipulate data. I have recommended this course to friends and family attempting to learn. Thank you so much Dr. Severance! Note - If you are already familiar with Python this course would not be worth while; it is a beginner course. | and none compare to the teaching | Method | of this course. It moves so | Negative | -0.6 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | A great course to start learning the methods of computer programming and also a perfect platform to revise and re-memorize programming logic and skills. Thank you Dr Chuck for such wonderful presentation and making python learning such a fun. The motivational talks by some of the pioneers in modern day production indulged me to think different and move forward in life. | great course to start learning the | Method | of computer programming and also a | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Really enjoyed the classes and Professor Chuck teaching method is fun as well as efficient! | the classes and Professor Chuck teaching | Method | is fun as well as efficient! | Positive | 0.8 | 0.5 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | One of the greatest teachings by a professor. Good method of teaching and thus my way of learning has been differed from the orthodox classroom learning. Thank You Coursera! i'm enjoying the video learning and I'm keen to learn other courses from this very organization. | greatest teachings by a professor. Good | Method | of teaching and thus my way | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Very good course for beginner. Prof teaches very elegantly and the concepts are brought about with clarity and easy to understand method. I simply love the course and professor's teaching style. | with clarity and easy to understand | Method | I simply love the course and | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Method of teaching is very well! | | Method | of teaching is very well! | Positive | 0.6 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Dr. Severance is great. He introduces you to coding in a way that is non-intimidating and feels completely natural within a couple of weeks. Instead of dreading class I found myself excited about attending everyday and was able to progress faster than the course outline due to his extremely clear and supportive teaching method. I'm already reading data from files and it isn't even covered until the next course. If you take this class, read the book and you will do well. | his extremely clear and supportive teaching | Method | I'm already reading data from files | Negative | -0.6 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Excellent method of teaching and course structure. | Excellent | Method | of teaching and course structure. | Positive | 0.9 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Excelent course! Excelent professor, great pedagogical methods used, a very accesible language and very good quality information. And the book is awesome! Thanks for uploading it. | Excelent course! Excelent professor, great pedagogical | Method | used, a very accesible language and | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Excellent for a beginner!! Professor Severance follows a very smooth and efficient method of teaching that reduces anxiety and increases passion for learning!! Recommended to anyone starting Python!!! | follows a very smooth and efficient | Method | of teaching that reduces anxiety and | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | I am halfway through the course and I am really enjoying it. The teacher is great and uses effective methods to explain things! | teacher is great and uses effective | Method | to explain things! | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | The method of teaching, quizzes and assignments helped me to learn as much as possible from this course. Thankyou for providing this course! | The | Method | of teaching, quizzes and assignments helped | Positive | 0.6 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Charles Severence is amazing at what he does, his method of teaching is second to none. you remind me of my physics teacher back at high school he was very unorthodox in his teaching also. so glad to see the course has gone to include all the material from his phenomenal book. Thank you and well done snape youre awesome | amazing at what he does, his | Method | of teaching is second to none. | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Overall the course was fantastic. Teaching was spot on and the methods was brilliant. I only have one issue with this course and that's how it uses an auto grader. In my opinion they aren't that great because it only checks for valid input/outputs and not that you understand what it is you're doing. Other courses I've done expect work to be submitted and peer assessed so you can see how other people reach their answers and learn more from that experience. That said though anyone looking to get into computing I would recommend doing this course. | Teaching was spot on and the | Method | was brilliant. I only have one | Positive | 0.6 | 0.5 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Exceptional teaching skills and very good dynamics. Incridable course methodology, I recommend. | and very good dynamics. Incridable course | Method | I recommend. | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Excellent Courser with great teaching methods..!! | Excellent Courser with great teaching | Method | . ! ! | Positive | 0.9 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Dr. Severance is a great professor. The method he uses to introduce Python is great for someone who has no prior coding experience. He keeps in interesting and provides a strong foundation to learn more of Python and other computer languages. I would highly recommend this class as a starting point if you want to learn programming. | Severance is a great professor. The | Method | he uses to introduce Python is | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Well developed, very clear and fast movement at the same time. Good exercises to practice. The method of teaching is encouraging and not boring at all. | time. Good exercises to practice. The | Method | of teaching is encouraging and not | Positive | 0.7 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | i am really in love by the way they teach the method for teaching is so perfect by taking quiz ,assinments and all that helps students to know about himself/herself. and the bonus videos of interviews of great founders and CEO's inspire students to do something more creative for the next time and most important student's saturated notes. they helped you out to clear your concepts more precise so my advice to all newcomers is to take a brief look on notes. and also Dr. Charles Severance and his team deserves a hats-off for his hard-work. love this course....thanks | by the way they teach the | Method | for teaching is so perfect by | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | good learning methods | good learning | Method | | Positive | 0.7 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | This is a great course. I love the step by step teaching method and detailed explanation. Despite the step by step method, the lecturer never fails to bores us because he always gets right to the point. | love the step by step teaching | Method | and detailed explanation. Despite the step | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | This is a great course. I love the step by step teaching method and detailed explanation. Despite the step by step method, the lecturer never fails to bores us because he always gets right to the point. | explanation. Despite the step by step | Method | the lecturer never fails to bores | Negative | -0.7 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Well designed. The easy does it approach is very effective to focus on how the language works. With this method it is easier to learn Python than Ruby. I recommend it. | how the language works. With this | Method | it is easier to learn Python | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | The teaching methodology was superb!! It worth spending time in his lecture.Hope to have some advance study soon in Python which shall be freely available to learners who keen to learn something new but cannot afford the tuition fee. . | The teaching | Method | was superb! ! It worth spending | Positive | 0.8 | 1.0 | 0.29 | 1.22 |
| 7A1yFTaREeWWBQrVFXqd1w | Awesome teaching method, very complete course with lots of hands-on assignements and examples. | Awesome teaching | Method | very complete course with lots of | Positive | 0.7 | 1.0 | 0.29 | 1.22 |
| 9p1NWzJzEeWFJhJQP1CW-Q | The course focuses on a number of critical aspects in video game world design, such as artistic direction, spatial and "physical" rules, and movement considerations; and it teaches a few methods of planning them. That said, the presentation of these ideas and methods feels less organized than the others in the course. That said, all of them are useful, and if the exercises/submissions don't quite lead up to as organic a whole as the others, it makes up for it by covering bases with varied approaches. | considerations; and it teaches a few | Method | of planning them. That said, the | Negative | -0.6 | 0.5 | 0.64 | 0.72 |
| 9p1NWzJzEeWFJhJQP1CW-Q | The course focuses on a number of critical aspects in video game world design, such as artistic direction, spatial and "physical" rules, and movement considerations; and it teaches a few methods of planning them. That said, the presentation of these ideas and methods feels less organized than the others in the course. That said, all of them are useful, and if the exercises/submissions don't quite lead up to as organic a whole as the others, it makes up for it by covering bases with varied approaches. | the presentation of these ideas and | Method | feels less organized than the others | Negative | -0.6 | 0.5 | 0.64 | 0.72 |
| 9p1NWzJzEeWFJhJQP1CW-Q | The teacher is a litlle abstract. Maybe he would improve himself if he would give more tangible things, as methods. | would give more tangible things, as | Method | | Positive | 0.6 | 0.5 | 0.64 | 0.72 |
| 9p1NWzJzEeWFJhJQP1CW-Q | The course is fun but the content is too general. I like to know more methods and technics to develop a game world, considering genres, mechanics and gameplay options. | general. I like to know more | Method | and technics to develop a game | Positive | 0.6 | 0.0 | 0.64 | 0.72 |
| aZysaaT7EeWiJhIfkgG__w | This course on software security was very informative . This is the best place to start off for a beginner as it not only covers the technical aspects of security ,but also talks about modelling threats and identifying adversaries and their capabilities.I however was slightly disappointed with the testing methods of this course.I feel that most of the testing should have been on the basis of projects and a project should have been included every week .But, all in all taking the course was a very pleasant experience and I thoroughly enjoyed all the projects that were given. Looking forward to taking the next course in the specialization!! | was slightly disappointed with the testing | Method | of this course. I feel that | Negative | -0.7 | 0.5 | 0.7 | 0.72 |
| aZysaaT7EeWiJhIfkgG__w | There should me more topics on secure code review methods | more topics on secure code review | Method | | Positive | 0.6 | 0.0 | 0.7 | 0.72 |
| bGZkCuIJEeSqWiIAC0gGHw | It was an interesting overview and a good in-depth method of managing a digital marketing project. I wish there would have been more statistical insight and data analysis exercice. | interesting overview and a good in-depth | Method | of managing a digital marketing project. | Positive | 0.8 | 0.5 | 0.79 | 0.96 |
| bGZkCuIJEeSqWiIAC0gGHw | Fantastic content, gives me a better understanding of the methodology which I was missing. I had a few problems with the platform, but managed to work after a few days. | me a better understanding of the | Method | which I was missing. I had | Negative | -0.7 | 1.0 | 0.79 | 0.96 |
| bRPXgjY9EeW6RApRXdjJPw | It's a good course,although it starts a little slowly and then really builds up a lot of steam towards the end. I think it should be paced out to be an 8-week course and include shorter, less ambitious assignments. I personally found that the assignments lead to onerous difficulty unless one actively seeks out different aspects of the language other than what was taught in this course (particularly native list methods), and once that has begun, then the last two weeks of it seem like a long-winded slog. It's nice to be able to learn programming style from Odersky himself. I recommend the text "Functional Programming in Scala" to read and work through during the course. | in this course (particularly native list | Method | and once that has begun, then | Positive | 0.6 | 0.5 | 0.58 | 0.77 |
| bRPXgjY9EeW6RApRXdjJPw | The synopsis for the course claims you need previous programming experience << You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient.>> I don't really have any experience in any of these languages except perhaps C from many years ago. However, I do have experience in Lisp and I found that the languages are extremely similar. In many cases I could think in Lisp and write in Scala, which is sort of like Lisp with type annotations, not always, but often. There are a couple of places in the course where the author assumes you know java. I think this is a mistake. You basically need to know the names of some java methods to work the exercise. But I just asked in the forum and someone gave me the correct method names. | know the names of some java | Method | to work the exercise. But I | Negative | -0.7 | 0.5 | 0.58 | 0.77 |
| bRPXgjY9EeW6RApRXdjJPw | The synopsis for the course claims you need previous programming experience << You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient.>> I don't really have any experience in any of these languages except perhaps C from many years ago. However, I do have experience in Lisp and I found that the languages are extremely similar. In many cases I could think in Lisp and write in Scala, which is sort of like Lisp with type annotations, not always, but often. There are a couple of places in the course where the author assumes you know java. I think this is a mistake. You basically need to know the names of some java methods to work the exercise. But I just asked in the forum and someone gave me the correct method names. | and someone gave me the correct | Method | names. | Negative | -0.7 | 0.5 | 0.58 | 0.77 |
| CJs0DTk_EeWYbg7p2_3OHQ | I thing this course should have one or two more modules. It's definitely to short to grasp the basics of JavaScript. For complete beginners it should start with a module about Foundations of Programming and after explain in depth what is a method, a property, an event, a calculation, a variable, an object, etc.... After I finished all the modules of this course, always coding along the lectures and having done all the assignments to practice and having read the extra material, by the end of this course I didn't had a solid foundation about how to program in JavaScript. So, if you enrolled the Web Design Specialization, after the HTML & CSS's courses you will have solid foundation about those languages, you will also grasp the basics of Responsive Design course but you will have to do other JavaScript courses to became a Junior Front-End Developer in the "real life". | explain in depth what is a | Method | a property, an event, a calculation, | Positive | 0.7 | -0.5 | 0.86 | 0.87 |
| CJs0DTk_EeWYbg7p2_3OHQ | While there were many typos in screenshots and code examples, this course has been a tremendous help to me as I reinforced some things I already knew about JavaScript and learned new concepts about the JavaScript language (like coding in events or working with the DOM). I definitely feel like a more confident programmer, even though I do wish the instructor could've explained some things in more detail (like when to use the dot attribute notation over the setAttribute method). | dot attribute notation over the setAttribute | Method | | Negative | -0.6 | 0.0 | 0.86 | 0.87 |
| CJs0DTk_EeWYbg7p2_3OHQ | As a beginner student. I enjoyed a good course that it gave me the tools to continue to seek methods to learn JavaScript and everything related to web design. | the tools to continue to seek | Method | to learn JavaScript and everything related | Positive | 0.6 | 1.0 | 0.86 | 0.87 |
| d64E7li7EeWylgpjfV1KVQ | I had been gone through this marvelous course during previous months and found it very useful for teachers of second language, especially ones who are learning or teaching through grammar translation method. | learning or teaching through grammar translation | Method | | Positive | 0.6 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | very detailed and instructive, I'll definitely apply those methods into my own class!Thanks for your efforts to make such good course! | and instructive, I'll definitely apply those | Method | into my own class! Thanks for | Positive | 0.7 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | This is course is useful for teachers who are interested in teaching English as a second language and particularly who wish to use combinations of historically evolved methods in contemporary teaching. I derived a lot of benefit from the course. I thank all the teachers for their inputs. | to use combinations of historically evolved | Method | in contemporary teaching. I derived a | Positive | 0.7 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | Love the way Dr. Shane is representing different approaches with appropriate dress code & dialogues from previous eras.. I have learned all these methods before in my TESOL course of final year Literature studies. Its like revising all the knowledge that I had learned 6 months back in 2015. (Y) | . I have learned all these | Method | before in my TESOL course of | Negative | -0.6 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | wonderful course that gave me a very strong historical background about methods of teaching. I would like to retake it again in this is available in the future. Ameer | a very strong historical background about | Method | of teaching. I would like to | Positive | 0.7 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | Very good course, great teachers, nice methodology... I reccomend! | Very good course, great teachers, nice | Method | . . I reccomend! | Positive | 0.8 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | Very good course that can help to find out or identify your own teaching method or philosophy | out or identify your own teaching | Method | or philosophy | Positive | 0.7 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | Cool! Thanks a lot for such a wonderful opportunity to have a clearer view of chronology of ESL approaches. It gives more confidence and understanding what this or that technique is used for. I know much more than I used to and therefore, I develop my teaching and methodology awareness. I look forward to the next course and hope I will implement it widely in my practice. | therefore, I develop my teaching and | Method | awareness. I look forward to the | Positive | 0.7 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | A bit more challenging than the first Module, bit with the same great methodology to deliver the information and keep students engaged. The course content is clear and concise. Thank you! | Module, bit with the same great | Method | to deliver the information and keep | Positive | 0.8 | 1.0 | 0.24 | 1.21 |
| d64E7li7EeWylgpjfV1KVQ | Quite an useful way to understand methods on teaching. Quite recommended too. | Quite an useful way to understand | Method | on teaching. Quite recommended too. | Positive | 0.7 | 1.0 | 0.24 | 1.21 |
| fCKQimXqEeSuUyIAC0mIhA | I think it would be useful if the course had a bit more videos with theoretical material on scientific methodology. But the course format is excellent, dynamic and captivating. | videos with theoretical material on scientific | Method | But the course format is excellent, | Positive | 0.7 | 0.5 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | It was nice and abundant for the 'basic' understanding about research methods. It leads to the further more deepen methodological approaches. If you already know about qualitative or quantitative something, it will be easy for you however if you are unfamiliar any other methodological approaches, this course give you essential information about that. | for the 'basic' understanding about research | Method | It leads to the further more | Negative | -0.6 | 1.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | Good on line course work in research methodology | on line course work in research | Method | | Negative | -0.7 | 1.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | I am really impressed with the opinion and examples from different scholars on each topic of each lesson of the week. This gives me a better grasp on understanding Research Methodology Clearer which I couldn't even attain when I was in my unstandardized college in Cambodia. I'd definitely recommend this course to my fellow and junior classmates who wish to study research. | a better grasp on understanding Research | Method | Clearer which I couldn't even attain | Negative | -0.7 | 1.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | Instead of interviewing different people, it could have animations and infographics to explain the research methods. | and infographics to explain the research | Method | | Negative | -0.6 | 0.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | Taking this course has indeed improved and deepened my intellectual rigor and it has motivated me to take additional courses on Research Methods from University of Amsterdam. The Course is an eye opener into the world of Research Methods. | to take additional courses on Research | Method | from University of Amsterdam. The Course | Positive | 0.6 | 1.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | Taking this course has indeed improved and deepened my intellectual rigor and it has motivated me to take additional courses on Research Methods from University of Amsterdam. The Course is an eye opener into the world of Research Methods. | opener into the world of Research | Method | | Positive | 0.7 | 1.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | This course is nicely organized and has manageable readings & videos. The video quality could be better. It's very very basic information about research. It might be useful to someone who does not know anything about it at all. The title might lead one to expect that methods of research such as qualitative, quantitative, and mixed method would be explored. Rather, this course is a general overview of what research is. | might lead one to expect that | Method | of research such as qualitative, quantitative, | Negative | -0.6 | -0.5 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | The course should be renamed as Basics of Research Method. | be renamed as Basics of Research | Method | | Positive | 0.6 | 0.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | This is an excellent course to understand research methods. | an excellent course to understand research | Method | | Positive | 0.9 | 1.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | In terms of delivery, the course delivery was very simple, critical and relevant. The course content was very engaging as it included interviews with graduate students and professors alike who are doing their researches. Quite fittingly, I commend the creators of this course for recognizing the fact that most online courses on research methods out there focus on having a linear tackling of lesson topics. For this course, it stressed the key issues and reflections of individuals who are doing the actual rudiments of the thing we call "research". More importantly, this course was also critical and relevant in many respects as it allowed us to have some write-ups about the topics without requiring us to go through many readings. It is in this sense that I would say that it its relevant--concise and direct in its approach, the instructors have seen to it that what they are to discuss will be the things which new comers to the research endeavor might ask. Kudos to the team! And my warmest regards to all of you! =D | that most online courses on research | Method | out there focus on having a | Positive | 0.7 | 1.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | A very fruitful effort and a nice MOOC by Univ of London allowing many many people/researchers across the globe to learn about state of art research methods which are usually not taught at MPhil or PhD levels. | learn about state of art research | Method | which are usually not taught at | Positive | 0.6 | 0.5 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | very useful for me to get to know something about research method. Thanks. | get to know something about research | Method | Thanks. | Positive | 0.7 | 1.0 | 0.76 | 1.02 |
| fCKQimXqEeSuUyIAC0mIhA | Great introduction to research methods for anyone contemplating a research masters of Phd. I haven't studied for a while, so found the course content particularly useful. Course is taught through a combination of videos, readings and weekly assignments which are peer reviewed. Weeks 2 and 3 of the course are particularly useful. | Great introduction to research | Method | for anyone contemplating a research masters | Positive | 0.8 | 0.5 | 0.76 | 1.02 |
| GEfA2A0UEeSWFyIACpBHcA | Pretty cool course. I hope they come out with two course sequences, one based more on theory that doesn't back away from stochastic calc so much, and another on practical methods using something other than excel. | so much, and another on practical | Method | using something other than excel. | Negative | -0.6 | 0.5 | 0.74 | 0.97 |
| GEfA2A0UEeSWFyIACpBHcA | This course is a great, from the perspective of how it is organized as well as the assignments provided at the end of each module. The way the content layout is well-suited and leads student step by step gaining insight to the mechanics of different financial derivatives and working on those assignments is a great method of pushing student spend time to understand how the mechanics works. Both instructors are great! and I appreciated greatly their effort as well as Coursera. The only one improvement I would suggest is that if a TA can be assigned for this course, it'll be a great help to all students. Thanks! | on those assignments is a great | Method | of pushing student spend time to | Positive | 0.8 | 1.0 | 0.74 | 0.97 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent course. Gives great insight into the main methods used in machine learning. | Gives great insight into the main | Method | used in machine learning. | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great methodology! Interesting content and easy to follow even if the student does not have a strong background. | Great | Method | Interesting content and easy to follow | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This is one of the best things i've ever seen on this matter. Prof Andrew's method os explanation is quite useful and easy to understand, even if your not totally familiar with the subject. | seen on this matter. Prof Andrew's | Method | os explanation is quite useful and | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Heartfelt gratitude to Dr. Ng and the entire coursera team on pulling off such a great introductory course. Honestly, machine learning is such a vast topic, that every nook and cranny of the internet has some opinion or the other on its methods. It can get pretty daunting for a beginner. This course is a perfect balance of theory and practice. It doesn't get too "mathy", nor does it get too dumbed down on it. The basic ideas, their implementations are discussed thoroughly, and Dr. Ng himself is such a smooth lecturer. A section on what to do after finishing this course would be helpful, as there are so many domains of machine learning, that it can get pretty confusing to decide. Also, I found the assignment tutorials a bit vague. Multiple times, I happened to scratch my head trying to figure what exactly the assignment in asking me to do. Clearer explanations of what to do in the assignments would be great. All in all, a wonderful course. Thanks a ton! | opinion or the other on its | Method | It can get pretty daunting for | Negative | -0.6 | 0.5 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | The method of teaching is very good. The programming assignments help a lot in actual understanding of the the algorithm. Very interesting course. You will definitely enjoy it. Thank you!! Happy learning!! | The | Method | of teaching is very good. The | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This is a nice course for getting started with machine learning and AI. I used this course for learning side by side with my college. At college they generally teach nothing much about AI just some theories of important concepts like neural networks and things like that. But this course made me understand everything. And the teaching methodology is very nice. It keeps students in track. The professor makes learning fun maybe that's the reason why am enjoying this course | me understand everything. And the teaching | Method | is very nice. It keeps students | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | One of the most impressive courses I ever had. Dr. Ng assumed that every student was the beginner and explained those complex theory and method in plain words. Strongly recommended this course and I will surely broadcast among my friends and colleagues. | and explained those complex theory and | Method | in plain words. Strongly recommended this | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Gently-paced and reasonable in terms of course work load, even for a busy person. This course greatly demystified machine learning for me. Alvin's lectures are friendly and easy to follow, and progress smoothly from one point of interest to the next, always taking time to briefly recap on precursor topics that were previously discussed. I really appreciate how the assignments focus on the core algorithms and their implementation. Ancillary implementation steps and a scaffolding for testing and viewing the results are already given for the learner to use, play with, and go back and reference for educational purposes if need be, for refreshing on use of tools such as plotting methods. The way the assignments are structured, putting emphasis on filling in the gaps with implementation of the important algorithms, makes completing assignments a very satisfying and fulfilling experience. I feared I would get caught up in preliminary steps, i.e. getting plots to display correctly or cleaning up the data, but that's all taken care of so that one can focus on practicing the techniques most relevant to the topic and algorithms. I only wish there were more assignments to complete, both to cover more of the course's material and to have more chances to practice algorithm prototyping in Octave/Matlab. | use of tools such as plotting | Method | The way the assignments are structured, | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | A great course for learning some fundamental concepts of machine learning, and hands-on experience with implementing several methods. | and hands-on experience with implementing several | Method | | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Want to learn what Machine Learning is all about? Want to get the skills to start developing machine learning applications, but not to be "tied up" to a single tool or methodology? This is the course for you! | up" to a single tool or | Method | This is the course for you! | Negative | -0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | An excellent introduction to various machine learning methods. Dr Ng's clear and succinct exposition makes light work of the theory, but if you pay attention and work through the exercises there is greater depth than first meets the eye. | excellent introduction to various machine learning | Method | Dr Ng's clear and succinct exposition | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | It's a great Course overall. Its Content is great and the method of teaching is amazing. | Its Content is great and the | Method | of teaching is amazing. | Positive | 0.9 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great course! although I'm familiar with statistics, calculus and linear algebra and most of the "academic" methods Andrew presented I've enjoyed the simple everyone-can-understand explanations. Thanks A lot! Ron. | and most of the " academic" | Method | Andrew presented I've enjoyed the simple | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent course. Taught me squared error method very easily (unlike some other courses on coursera). | Excellent course. Taught me squared error | Method | very easily (unlike some other courses | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great hands on exercises and very clearly explained material. Was a bit slow for me I had to watch it at 2x: perhaps the simplest maths should be factored out into a separate mini course and assume a certain background for this one. The course is rather broad, though I was surprised not to hear once about Bayes or Markov (n-grams, HMM etc.). It might be a good idea to create a specialisation consisting of a separate basic maths part, all the methods presented here, methods applicable to bioinformatics and NLP too. And to top it all of Computer Vision. I assume the by-pixel techniques used in this course were just illustrating the points, as I would expect Gabor wavelets or something to reduce dimensionality and save ourselves from sliding windows (and rotations as a bonus). I am not sure if in this specialisation I would have liked to have all "science" points (how to run an experiment analyse results) separate from "how to implement an algorithm" and "why the algorithm works" or mixed in as this course does. I think either works. Some navigational infrastructure on coursera would be awesome (wiki style opportunities to jump around between "aspects" etc.). Finally, some summary notes would be very useful. When I do decide to implement any of this I will have to look through the exercise pdfs which are a bit long and at my code - perhaps, at the end, when you know someone has completed the exercises. Otherwise, the exercises are awesome. | separate basic maths part, all the | Method | presented here, methods applicable to bioinformatics | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great hands on exercises and very clearly explained material. Was a bit slow for me I had to watch it at 2x: perhaps the simplest maths should be factored out into a separate mini course and assume a certain background for this one. The course is rather broad, though I was surprised not to hear once about Bayes or Markov (n-grams, HMM etc.). It might be a good idea to create a specialisation consisting of a separate basic maths part, all the methods presented here, methods applicable to bioinformatics and NLP too. And to top it all of Computer Vision. I assume the by-pixel techniques used in this course were just illustrating the points, as I would expect Gabor wavelets or something to reduce dimensionality and save ourselves from sliding windows (and rotations as a bonus). I am not sure if in this specialisation I would have liked to have all "science" points (how to run an experiment analyse results) separate from "how to implement an algorithm" and "why the algorithm works" or mixed in as this course does. I think either works. Some navigational infrastructure on coursera would be awesome (wiki style opportunities to jump around between "aspects" etc.). Finally, some summary notes would be very useful. When I do decide to implement any of this I will have to look through the exercise pdfs which are a bit long and at my code - perhaps, at the end, when you know someone has completed the exercises. Otherwise, the exercises are awesome. | part, all the methods presented here, | Method | applicable to bioinformatics and NLP too. | Negative | -0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | good course, has many useful information and methods | course, has many useful information and | Method | | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | It was a wonderful class.The patter and methodology used was excellent. Enjoyed learning . Keep up the good work professor , Thanks a lot Coursera !!!!! | a wonderful class. The patter and | Method | used was excellent. Enjoyed learning . | Positive | 0.9 | 0.5 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent course and probably one of the the best introductions into the modern machine learning area. It not just about different machine learning algorithms and techniques. It gives deep understanding which method is better to choose for each particular problem, how to apply, evaluate and optimize different methods. | techniques. It gives deep understanding which | Method | is better to choose for each | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent course and probably one of the the best introductions into the modern machine learning area. It not just about different machine learning algorithms and techniques. It gives deep understanding which method is better to choose for each particular problem, how to apply, evaluate and optimize different methods. | to apply, evaluate and optimize different | Method | | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent course that I really enjoyed! Takes you from motivation, simple ML methods to sophisticated ML methods like Neural Network, and SVM. Along the way we get to see current applications of ML in academia and industry. | Takes you from motivation, simple ML | Method | to sophisticated ML methods like Neural | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent course that I really enjoyed! Takes you from motivation, simple ML methods to sophisticated ML methods like Neural Network, and SVM. Along the way we get to see current applications of ML in academia and industry. | simple ML methods to sophisticated ML | Method | like Neural Network, and SVM. Along | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | A very good overview of machine learning and its mainstream tools. The instructor also provides a very good summary of rules of thumb for applying these tools in practice. A methodology for systematically applying machine learning in any kind of problems is also included. It gives a very good background for starters. | applying these tools in practice. A | Method | for systematically applying machine learning in | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | The instructor Andrew NG is very good with his material and his explanation methods, but the course does not delve much into the details of the methods. My expectation of the course was that it would explain the core mathematics behind the scenes. | with his material and his explanation | Method | but the course does not delve | Negative | -0.6 | 0.5 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | The instructor Andrew NG is very good with his material and his explanation methods, but the course does not delve much into the details of the methods. My expectation of the course was that it would explain the core mathematics behind the scenes. | much into the details of the | Method | My expectation of the course was | Positive | 0.6 | 0.5 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Interesting and useful class that gives brief introduction of machine learning methods. Great course! | gives brief introduction of machine learning | Method | Great course! | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This is such a good course that gives a good intuition into Machine Learning. For me it has given a new sense of appetite to learn and revisit Multivariable calculus, Numerical Methods, Probability. I hope it will trigger the same for many others too. The prof has taken a lot of effort to help us visualise Machine Learning. His efforts are truly appreciated! I would strongly recommend this course for everyone suitable and most importantly interested in the subject. | learn and revisit Multivariable calculus, Numerical | Method | Probability. I hope it will trigger | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | I wish the materials went faster but if this speed is necessary for something my opinion now doesn't matter. Used really cool method of explaining. | now doesn't matter. Used really cool | Method | of explaining. | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | A fantastic introduction to machine learning methods. The lectures are informative and insightful, and the homework makes you get your hands dirty with the algorithms. The homework has you code the significant algorithms of the section in MATLAB or Octave. No wonder why it's one of the popular course on Coursera. | A fantastic introduction to machine learning | Method | The lectures are informative and insightful, | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Thoroughly enjoyed the class. It is very well taught and very well structured! As a working professional in AE, I really appreciated having a concise overview of existing methods in Machine Learning. I feel that I am now up-to-date on the fundamentals, sufficiently enough to start cross-fertilizing these ideas to my field. Thank you! | having a concise overview of existing | Method | in Machine Learning. I feel that | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great course. Makes it easy to understand basic concepts and algorithms of most popular ML methods through program assignments. Methods like logistic regression, SVM and Neural Networks become easy to comprehend and are not a "black box" anymore. | and algorithms of most popular ML | Method | through program assignments. Methods like logistic | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great course. Makes it easy to understand basic concepts and algorithms of most popular ML methods through program assignments. Methods like logistic regression, SVM and Neural Networks become easy to comprehend and are not a "black box" anymore. | popular ML methods through program assignments. | Method | like logistic regression, SVM and Neural | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Andrew is a great teacher and his teaching method is excellent. | a great teacher and his teaching | Method | is excellent. | Positive | 0.9 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | A great great machine learning introductory course with a lot ground covered -- but the best part is most of these methods are nicely packed into one convex optimization algorithm gradient descent. There are a lot of "tricks" that will be very helpful in real world projects. | best part is most of these | Method | are nicely packed into one convex | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | The best online course i've ever attended. The explainations are crystal clear even for non-methematicians and the topic is widely covered ( No deep learning nor bayesian methods though). If only my former college teachers would've been half that good.. | ( No deep learning nor bayesian | Method | though). If only my former college | Negative | -0.8 | 0.5 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This was my first coursera class, and I came out feeling confident in my use of the methods that Prof. Ng taught. The programming exercises do a very good job of guiding students through the implementational details of each learning method and usually provide examples to illustrate the strengths, weaknesses, and options within each. I'm a graduate student in a protein structure/rational drug design lab, and the topics from this class have already weaved their way into my projects. These methods are applicable to almost any quantitative form of data - I strongly recommend this course for other young researchers, either to prepare to implement the methods themselves, or to just start thinking about how to format the conventions of their sceintific domain in a machine-learnable way! | confident in my use of the | Method | that Prof. Ng taught. The programming | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This was my first coursera class, and I came out feeling confident in my use of the methods that Prof. Ng taught. The programming exercises do a very good job of guiding students through the implementational details of each learning method and usually provide examples to illustrate the strengths, weaknesses, and options within each. I'm a graduate student in a protein structure/rational drug design lab, and the topics from this class have already weaved their way into my projects. These methods are applicable to almost any quantitative form of data - I strongly recommend this course for other young researchers, either to prepare to implement the methods themselves, or to just start thinking about how to format the conventions of their sceintific domain in a machine-learnable way! | the implementational details of each learning | Method | and usually provide examples to illustrate | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This was my first coursera class, and I came out feeling confident in my use of the methods that Prof. Ng taught. The programming exercises do a very good job of guiding students through the implementational details of each learning method and usually provide examples to illustrate the strengths, weaknesses, and options within each. I'm a graduate student in a protein structure/rational drug design lab, and the topics from this class have already weaved their way into my projects. These methods are applicable to almost any quantitative form of data - I strongly recommend this course for other young researchers, either to prepare to implement the methods themselves, or to just start thinking about how to format the conventions of their sceintific domain in a machine-learnable way! | either to prepare to implement the | Method | themselves, or to just start thinking | Negative | -0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | I would totally recommend this course to someone looking to get an insight about the most popular methods of machine learning. The video lectures are well explained and the programming exercices are a really good guidance to learn by yourself to put everything in practice. | an insight about the most popular | Method | of machine learning. The video lectures | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Explanation of each topic is so Excellent. And Teaching Methodology is like as we required. Every programmer should have the knowledge of Machine Learning | topic is so Excellent. And Teaching | Method | is like as we required. Every | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Learned a cool lot especially diagnostic methods for bias-variance issues. I enjoyed doing the programming exercises. The last lecture was very essential where you get to see how to build ML pipeline for one whole project and also the ceiling analysis discussed along with it. Prof Ng is indeed pro in the field. | Learned a cool lot especially diagnostic | Method | for bias-variance issues. I enjoyed doing | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | The machine learning methods introduced in this course are very powerful. And the course was taught in a way that's easier to understand. | The machine learning | Method | introduced in this course are very | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent methodology, very adaptable and efficient. | Excellent | Method | very adaptable and efficient. | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This is a great course with good methodology. I liked the assignments and I was motivated all the time. I really recommend this course. | is a great course with good | Method | I liked the assignments and I | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Very solid introduction to machine learning. The instructor is very knowledgeable and does a good job of explaining the intuition of the methods. I would recommend watching every video (even if you are already familiar with some of the methods watch the video anyway. You may see it from another perspective). | of explaining the intuition of the | Method | I would recommend watching every video | Negative | -0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Very solid introduction to machine learning. The instructor is very knowledgeable and does a good job of explaining the intuition of the methods. I would recommend watching every video (even if you are already familiar with some of the methods watch the video anyway. You may see it from another perspective). | already familiar with some of the | Method | watch the video anyway. You may | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | The concepts are explained masterfully with a focus on understanding rather than high-level mathematics which most of these topics invariably deal with. Plus the exercises give a real feel for the practical questions that Machine Learning can solve and the method that practitioners use most often. | Machine Learning can solve and the | Method | that practitioners use most often. | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Extremely good introduction and overview of up-to-date machine learning methods. Andrew had simple and clear explanations and the exercises were challenging, not overwhelming, well-structured, and allowed the students to apply the relevant theory without being burdened by creating their own test programs or mastering the programming/scripting language. | and overview of up-to-date machine learning | Method | Andrew had simple and clear explanations | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great teacher, amazing examples, fantastic methods, are what the course supplies. Thanks much! | Great teacher, amazing examples, fantastic | Method | are what the course supplies. Thanks | Positive | 0.9 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | A good course to learn the actual machine learning methods | to learn the actual machine learning | Method | | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great overall experience. The lectures are top notch. The section on backward propagation in neural nets was particularly well done. You spend most of the homeworks getting Octave implementations to work based on provided scaffolding code. This is a good method, but it does mean that you spend time with few examples than you might expect, as you must write the implementations at a fairly low level. The upside is that you end up with a deeper understanding of the methods than you might get from, say, using high-level commands in R. Thank you mister Ng for making this great opportunity to learn machine learning for free. | scaffolding code. This is a good | Method | but it does mean that you | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Great overall experience. The lectures are top notch. The section on backward propagation in neural nets was particularly well done. You spend most of the homeworks getting Octave implementations to work based on provided scaffolding code. This is a good method, but it does mean that you spend time with few examples than you might expect, as you must write the implementations at a fairly low level. The upside is that you end up with a deeper understanding of the methods than you might get from, say, using high-level commands in R. Thank you mister Ng for making this great opportunity to learn machine learning for free. | with a deeper understanding of the | Method | than you might get from, say, | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | a. very good coverage of standard algorithmic approaches. b. good suggestive guidelines on specifics of algorithms like issues / details one need to be careful, need not to bother etc.. c. broad coverage of examples.. d. tricky questions...good to experience... Overall I liked this course content and the breadth of coverage. Based on the difficulty i experienced let me place some points of improvements that would help every student.... e. could have dealt some specific examples in full (from definition to implementation) as part of video lecture which would helped better understanding of the problems, algorithms, impact of specifics, implementation issues, analysis methods, inferences that could be derived, final expected solution. f. expecting feedback on exercises.... not only correct or incorrect but reasoning for the responses could be of great help in better understanding.... g. downloadable videos could contain in video quiz... h. Octave content could be increased..... i. audio of the lectures needs fine tuning, hissing sounds could be filtered. For some of the lectures subtitles does not match at all... Thank you very much for coursera.... Thank you very much Prof. Andrew Ng..... Looking forward for mor courses related to ML by you.... | impact of specifics, implementation issues, analysis | Method | inferences that could be derived, final | Negative | -0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | One of the best courses that exist, to my knowledge, as far as the educational methods that it uses and the environment that it creates for non-computationally oriented fellows that want to really get started in the field of machine learning... | knowledge, as far as the educational | Method | that it uses and the environment | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | BRILLIANT !!!! Andrew Ng is a great teacher. He has really taken a great approach to presenting this course. I learned a whole lot and grasped and retained more only because of his teaching style and methods. This course is a MUST, if you're looking to pick up on Machine Learning concepts or break in to the Data Science industry. | because of his teaching style and | Method | This course is a MUST, if | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Andrew Ng did a great job with this course. He covers algorithms and others tools to do machine learning. Being new to machine learning I believe I got an idea what it is about and how to apply the methods. | about and how to apply the | Method | | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Assignments are too easy. I am not able to practice optimization methods implementation (Like - fmincg etc). Video lectures are good but at some places lack the explanation (Like how do we get the cost function of neuralnets). Still very helpful. | am not able to practice optimization | Method | implementation (Like - fmincg etc). Video | Negative | -0.6 | 0.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Overall, an awesome course. It covers many useful algorithms and approaches to machine learning, and presents the material in an easy to understand manner. The assignments really reinforce the material and give you a chance to try out the lessons learned in the lectures. The only downside to this course is that it doesn't cover some of the more theoretical aspects of machine learning. After participating in this course, it is natural to ask "what questions can't we solve with machine learning?" "What defines something as machine learnable?", or "What are the mathematics behind this method?" These are small problems with an otherwise amazing course. In fact, I would say that this course is more useful than quite a few you can take an accredited university. | What are the mathematics behind this | Method | " These are small problems with | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent professor! Excellent classes! Outstanding methodology for online on-demand couse... strongly recommended! | Excellent professor! Excellent classes! Outstanding | Method | for online on-demand couse. . . | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | I like the practical approach Professor Ng took toward teaching the different concepts in this course. The focus on real-life applications rather than proving the theories behind each method is great for working professionals, and I am now empowered with different ideas to try out at work! | than proving the theories behind each | Method | is great for working professionals, and | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Challenging and demanding, but also excellently prepared course. Complex topics well explained, useful practical examples, getting you as far as to be able to solve your own problems using the methods presented. | solve your own problems using the | Method | presented. | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | The subject of the course concerns how to estimate parameters to make predictions about data and to classify data. The lectures are very clear and the examples are well chosen. The mentor, Tom Mosher, is also diligent, clear, and patient. In addition to the subject matter itself, it is interesting to learn that these are some of the key methods used in Silicon Valley. If you have a strong mathematical background, some of the early lectures are too slow. (On the flip side, for someone with less background, the course is self-contained.) However, by about lecture 3, I was glad I stuck with it. Instructors might consider adding some no-credit quizzes to help people "place out" of certain videos. If you can get past the assignment on backprojection for neural networks, you're home free! | these are some of the key | Method | used in Silicon Valley. If you | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | A great course for revolution in advance machine learning, I am attempting it 2nd time very useful content about Machine Learning and great teaching methodology | about Machine Learning and great teaching | Method | | Positive | 0.8 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This was by far the best class I have had so far on Coursera. I feel that I now have a really good understanding of linear and logistic regression and neural networks as well as the other learning methods that we touched upon. I thought that the quizzes and assignments were very appropriate and helped me to further cement my understanding that I gained through watching the video. Professor Ang explains the material very clearly. I always walked away feeling that any questions I might have were answered completely in the videos or in the discussions. I would highly recommend this class to anyone who wants to have a good understanding of Machine Learning. | as well as the other learning | Method | that we touched upon. I thought | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | The course has really helped gaining practical and applicable knowledge in Machine Learning algorithms. I particularly appreciate the course delivery by Prof. Andrew Ng where not only he takes us through the algorithm but also help build the intuition of the methodology for us to customize the algoriths as well for our specific problems. Thanks so much professor Andrew Ng for sharing your knowledge! | help build the intuition of the | Method | for us to customize the algoriths | Positive | 0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Very interesting, though it does not dive deep in the maths. Concepts like ensemble methods are missing. | in the maths. Concepts like ensemble | Method | are missing. | Negative | -0.6 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Very good, practical and easily understandable course. I've learned new numerical methods in spite of that I've finished a semester long numerical methods course at the uni. | understandable course. I've learned new numerical | Method | in spite of that I've finished | Positive | 0.7 | 1.0 | 0.38 | 1.18 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Very good, practical and easily understandable course. I've learned new numerical methods in spite of that I've finished a semester long numerical methods course at the uni. | I've finished a semester long numerical | Method | course at the uni. | Negative | -0.7 | 1.0 | 0.38 | 1.18 |
| H02KsW1DEeWXrA6ju0fvnQ | The mathematics in this course are at a high level (similar to Statistical Inference) - and are presented at a pace that is challenging without significant background in the field. There is little guidance presented on the methods required. It is recommended that students source out plenty of support material (intro to statistical inference and similar). | is little guidance presented on the | Method | required. It is recommended that students | Positive | 0.6 | -0.5 | 0.72 | 0.73 |
| H02KsW1DEeWXrA6ju0fvnQ | Compared to previous two courses in specialization this one is far worse - it is more of excursion into used methods than actual learning using any of mentioned methods in enough detail to be able to do meaningful analyses. | actual learning using any of mentioned | Method | in enough detail to be able | Positive | 0.6 | 0.0 | 0.72 | 0.73 |
| H02KsW1DEeWXrA6ju0fvnQ | Pretty good overview of how to build some types of machine learning models through the caret library in R, but not much in terms of the theoretical underpinnings or why one method is better than the other or where it is most suitable. | the theoretical underpinnings or why one | Method | is better than the other or | Negative | -0.6 | 0.5 | 0.72 | 0.73 |
| H02KsW1DEeWXrA6ju0fvnQ | Thank you for inviting me to be a beta tester for Practical Machine Learning. I completed this course at the beginning of October of this year. When I was asked to be a "beta tester" I thought that I would be presented with new materials. However, the only thing that has changed is the look and layout of the Coursera web pages. The video lectures, quizzes, and assignment are the same as they have been for quite some time. Here are some specific comments: 1. The video lectures: To me, these are clear and easy to follow. However, like those in the other courses in the Data Science Specialization, this course covers a wide range of subjects but tends not to have much depth. When I compare this and other courses in the specialization to other moocs that I have taken including Machine Learning with Andrew Ng and the Stanford Online EdX Course Statistical Learning with Trevor Hastie and Rob Tibshirani, the somewhat cursory treatment of the topics in the Data Science Specialization becomes more noticeable. Perhaps in the interest of "truth in advertising" this course should be called "A Brief Introduction to Practical Machine Learning." In the interest of full disclosure, I should note that I have an undergraduate degree in economics and an MS and PhD in psychology with a quantitative bent. I have had lots of statistics courses, especially those related to ANOVA, MANOVA, nonparametric statistics, correlation and regression methods, and structural equation modeling. The latter is important in psychology because researchers in this field like to measure latent variables. I had been an analyst using SPSS for several decades and the courses in this specialization helped me to migrate to R. Also, there have been may new developments that have become more accessible through R packages (like the fancier tree methods) that were not available when I completed my PhD. Thus these courses (and others such as the ones by Ng and Hastie and Tibshirani) have helped me to keep abreast of these developments. So they are good for me, but I wonder to what degree do the courses in the Data Science Specialization actually make a person a "data scientist?" 2. The quizzes: I think these items are good practice and are at a reasonable level of difficulty. However, these items are the same ones that you have been giving for quite some time, with perhaps a few new ones added. A little googling will lead you to the answers to these quizzes posted online. I recommend that you put a little time and effort into writing all new items. 3. The final project: Again, this project is good practice and seems to be at a reasonable level of difficulty. And again, this is the same project that appears to have been given at the end of numerous iterations of this course. And again, numerous write-ups for this project can be found online. And again, I would recommend that you put a little time and effort into finding a new data set for people to analyze. This would help minimize some of the rampant cheating that I found in this and in other classes in the specialization. On the subject of cheating, when I was doing the peer grading for the courses in the Specialization, I would enter the code of the students that I was grading into the Google search box and all too often I found links to submissions for the project by students who had taken earlier sessions of the class. That is, students were copying these earlier submissions by other students and submitting them as their own. And I don't mean that they were similar: students were copying other people's work line by line, character by character. I found that to be quite irritating and I always reported it to Coursera. Of course, if the instructors would change their assignments once I a while, then this sort of copying would be impossible. As it is, it appears that the good professors put a lot of time and effort into creating what are indeed a worthwhile set of classes. However, after they created the classes, they seem to have pushed the "autopilot" button and gone off to do their day jobs. I would suggest that re-engaging with these courses and reading some of the comments that other students have made would be helpful. Overall, I appreciate the courses in the Data Science Specialization and specifically this course. I know that these class materials took considerable time and efforts to create. I wish the instructors continued success with these classes. | R packages (like the fancier tree | Method | that were not available when I | Negative | -0.6 | 0.5 | 0.72 | 0.73 |
| HITLfhnoEeWjrA6seF25aw | As a learning course the final project was specification-less. they should ask for something specific and explained well they should test conecpts not asking for whatever idea you have, apply what you learned I think this is an old school method. | think this is an old school | Method | | Positive | 0.7 | 0.0 | 0.68 | 0.93 |
| HITLfhnoEeWjrA6seF25aw | Exceptional teaching method!!!Looking forward for great courses like these!! | Exceptional teaching | Method | ! ! Looking forward for great | Positive | 0.8 | 1.0 | 0.68 | 0.93 |
| HITLfhnoEeWjrA6seF25aw | Sharing a satisfied amount of knowledge, overall very good. The HTML videos were excellent. The one thing missing is the methodology on how someone starts to think and makes JavaScript code that delivers a solution to a problem. How do we do our approach? Flow charts would really help on this matter. | The one thing missing is the | Method | on how someone starts to think | Negative | -0.7 | 0.5 | 0.68 | 0.93 |
| HITLfhnoEeWjrA6seF25aw | HTML and CSS were stellar explanations. Matt really has a knack for adding humour to his lecture that kept me engaged and helped me understand as well. Cheers. The JS portion though was rough. I felt like Marko has an incredible amount of knowledge but the method of the lecturers, content, and layout was hard to grasp on a first-time go. I had to re-watch every lecturer in the JS and I still am having problems...It's obviously a difficult language though and I'm honestly not sure if there actually IS an easier way to teach it. Marko's enthusiasm really showed though, so it helped keep me coming back for more punishment~ Great job all around to everyone! Really good beginner course. | incredible amount of knowledge but the | Method | of the lecturers, content, and layout | Positive | 0.8 | 0.5 | 0.68 | 0.93 |
| HRSOu-BiEeOZpyIACyeXpA | Great teaching methodology - although the test are a bit too centered on number crunching and not reasoning. (a lot of number crunching and no room for little numerical mistake although reasoning is good) | Great teaching | Method | - although the test are a | Positive | 0.8 | 0.0 | 0.85 | 1.15 |
| HRSOu-BiEeOZpyIACyeXpA | Great lessons and tests. Although I already knew quite a lot of this material, I still really learned a lot about why certain methods work the way they do. I would have loved to get some sort of a certificate though. | learned a lot about why certain | Method | work the way they do. I | Negative | -0.6 | 1.0 | 0.85 | 1.15 |
| HRSOu-BiEeOZpyIACyeXpA | Really frustrating method of teaching. Class is incredibly slow and does way, way too much simple addition, subtraction, and multiplication to prove extremely basic points for a calculus course. | Really frustrating | Method | of teaching. Class is incredibly slow | Negative | -0.6 | -1.0 | 0.85 | 1.15 |
| HRSOu-BiEeOZpyIACyeXpA | One of the well organized with best Teachers, best teaching methods, and easy to follow course. | organized with best Teachers, best teaching | Method | and easy to follow course. | Positive | 0.9 | 1.0 | 0.85 | 1.15 |
| HRSOu-BiEeOZpyIACyeXpA | Prof Fowler has a really effective and engaging method of presenting the course in an accessible manner. The visual aids are used to good effect to illustrate each topic, whilst the module tests really help to cement the knowledge, occasionally boosted by being able to re-watch the relevant lecture should there be any sticking points. | has a really effective and engaging | Method | of presenting the course in an | Positive | 0.7 | 1.0 | 0.85 | 1.15 |
| HRSOu-BiEeOZpyIACyeXpA | It was a really fun course; I have started to understand how the power rule, etc can be used to differentiate functions and also learning new methods to integrate (Riemann Sum) and differentiate! Sadly, I wish there were extra questions that you could attempt to consolidate your knowledge! | differentiate functions and also learning new | Method | to integrate (Riemann Sum) and differentiate! | Positive | 0.7 | 1.0 | 0.85 | 1.15 |
| HRSOu-BiEeOZpyIACyeXpA | Excellent teaching methodology ! I really like the enthusiasm of the instructor Dr. Jim Fowler. Although I had prior experience with calculus, this course has helped clear some of the basics and made me look at Calculus from a totally different perspective. Thanks to Coursera & The OSU for developing this exciting course ! I highly recommend it . | Excellent teaching | Method | ! I really like the enthusiasm | Positive | 0.7 | 1.0 | 0.85 | 1.15 |
| iRBJm_LREeSplSIACzYDNg | Great course, great methodology and great teacher, it's all I have to say. It's easy for you to learn and to visualize where to apply in real life the knowledges acquired here. | Great course, great | Method | and great teacher, it's all I | Positive | 0.7 | 1.0 | 0.65 | 1.01 |
| iRBJm_LREeSplSIACzYDNg | Doing this course 'Initiating and Planning Projects' gives learners, practical skills on Project management based on PMBOK methodology which is framed by PMI based on contributions from experienced professionals in the field. Prof Margaret Meloni is a great teacher. Students will enjoy her crisp, clear and lucid style of communicating ideas. Slides are well designed. Video quality and sound quality is also great. You will encounter lots of good quality reading materials. Quizzes will help you to test your knowledge as you progress. Overall, an excellent course fit for project managers and project team members who work for construction projects. Also good for the aspiring project managers. Thanks to Prof Margaret and UC Irvine for the great course. | on Project management based on PMBOK | Method | which is framed by PMI based | Negative | -0.6 | 1.0 | 0.65 | 1.01 |
| iSxVEG07EeW3YxLB1q9I2w | concepts were very good but teaching method/material must improve...some of the materials and methods used are too unstable to be useful for professional use...more work should be done by instructors to separate the 'reliable' concepts/info from 'interesting to know but not ready for mass use' | . some of the materials and | Method | used are too unstable to be | Negative | -0.7 | 0.0 | 0.71 | 0.82 |
| iSxVEG07EeW3YxLB1q9I2w | Good overview of the most used tools and methods used by Data Scientists. | of the most used tools and | Method | used by Data Scientists. | Positive | 0.7 | 1.0 | 0.71 | 0.82 |
| iSxVEG07EeW3YxLB1q9I2w | The course is well structured but for investigation methods purposes some subjects should be improved and more clear considering that not all of us have deep statistics knowledge. | is well structured but for investigation | Method | purposes some subjects should be improved | Positive | 0.7 | 0.5 | 0.71 | 0.82 |
| iSxVEG07EeW3YxLB1q9I2w | It's a good introduction to data science. However, without prior knowledge of statistics, programming, and research methods the course would be fairly difficult to follow. | knowledge of statistics, programming, and research | Method | the course would be fairly difficult | Negative | -0.7 | 0.5 | 0.71 | 0.82 |
| iSxVEG07EeW3YxLB1q9I2w | Super basic introduction. I liked the last section reviewing data science methods and conceptual ideas. | the last section reviewing data science | Method | and conceptual ideas. | Negative | -0.6 | 0.5 | 0.71 | 0.82 |
| iSxVEG07EeW3YxLB1q9I2w | The Data Scientist’s Toolbox is a great way to dip into Data Science and the methodology behind it. The course is very general, and makes an effort to cover the bigger scope of things without delving deep in any. More than anything, it's a great way to learn the components and uses of data science and set a framework for all that will be coming after. The materials are very well laid-out and almost feel like attending college classes. The visuals and slides are a little dry, but the pace is lively enough to maintain momentum at all times. | dip into Data Science and the | Method | behind it. The course is very | Negative | -0.6 | 0.5 | 0.71 | 0.82 |
| iSxVEG07EeW3YxLB1q9I2w | The part of explaining Predictive and Inferential Analysis is confusing. I think it won't hurt to give some more specific examples and methods used in each case. Both types of analyses involve sampling, so I think it is necessary to keep it clear how that sample can be used to either "infer" or "predict". | give some more specific examples and | Method | used in each case. Both types | Positive | 0.6 | 0.0 | 0.71 | 0.82 |
| jHCTx1u-EeWylgpjfV1KVQ | Much better Courses are available for free on udacity and edx. this is only a money making course. concepts used are very old. nothing new in this course. One can dwell in PID controllers for life, its a huge are and the way its used here is totally ancient. its just some ancient methods in new quadcopters. | totally ancient. its just some ancient | Method | in new quadcopters. | Positive | 0.6 | -0.5 | 0.66 | 0.71 |
| jHCTx1u-EeWylgpjfV1KVQ | the course and the lessons are really interesting and the professor is explaining really well. Especially nice are all the videos demonstrating what have been done so far. Problem are the assignments: -all the assignments are about controlling a quadrotor, but a matlab code 95% done is already provided and most of the times the only thing requested is to spend days in find (randomly) the correct values for the controller gains; -the last assignment is again partly about (randomly) looking for gain values and partly about generating a trajectory as a piecewise 7th order polynomial, where the method for creating such thing is only mentioned in the assignment pdf and with wrong conditions. Even with the correct conditions, with a previous knowledge of numerical methods you can go through it, but otherwise it takes quite some time; -the grade is not set properly.. you either take 0points or the maximum, meaning that for just passing the assignment you have the same difficulty as getting full marks.. if you arrive (after days of trial and error) to the point of passing the assignment, then you can easily get full grade with small changes.. which makes no sense; -the explanatory pdf for the assignments or the provided codes some times contain errors, and I don't understand why they are not fixed considering that this course is already the second time that was provided; -the assignments are fully based on matlab and to actually understand something it is required quite a deep knowledge of how to use it.. I work daily with matlab and had some difficulties in following what it is done. If somebody is new to matlab, it will be quite difficult to do even the easier tasks; -the evaluation function for the last assignment is extremely slow.. it took me 40minutes to evaluate the results.. and considering the many iterations usually required for (randomly) finding the gains this really doesn't help. Summarising I am quite happy about this course and glad to have done it, but please fix the many problems in the assignments. I have taken many courses online in different platforms and this was so far the most time consuming one.. | piecewise 7th order polynomial, where the | Method | for creating such thing is only | Negative | -0.6 | 0.0 | 0.66 | 0.71 |
| jHCTx1u-EeWylgpjfV1KVQ | This course had an excellent syllabus, but left much to be desired in the methodology adopted for teaching. There was very low involvement of the TA in the discussion forums and there should have been more material given to help bridge the gap between pre requisites and the course content. | much to be desired in the | Method | adopted for teaching. There was very | Negative | -0.6 | 0.5 | 0.66 | 0.71 |
| LgWwihnoEeWDtQoum3sFeQ | We are given inadequate information in the videos, and no other resources, to write a program. Required to use methods not covered in the course. | write a program. Required to use | Method | not covered in the course. | Negative | -0.6 | -0.5 | 0.74 | 1.04 |
| LgWwihnoEeWDtQoum3sFeQ | Teaching method is great ! | Teaching | Method | is great ! | Positive | 0.8 | 1.0 | 0.74 | 1.04 |
| LgWwihnoEeWDtQoum3sFeQ | Great instructor with great presentation methods that make learning course content simple and straight forward. Would recommend to anyone needing to get web basics into their toolbox of skills. | Great instructor with great presentation | Method | that make learning course content simple | Positive | 0.8 | 1.0 | 0.74 | 1.04 |
| LgWwihnoEeWDtQoum3sFeQ | Good course, with useful examples and methodology! | Good course, with useful examples and | Method | | Positive | 0.7 | 0.5 | 0.74 | 1.04 |
| lHabnht2EeWo5g5SXpDA8Q | While the lectures were good, one of the mentors wasn't profesional at all, she was nasty, though the other one was very fine. But my chief complaint is the terrible method (in creative writing classes only ?) of using peer reviews to pass the class. I had a non-English-speaking person NOT pass me, a former English teacher, for no other reason than he misread the assignment. So I had to resubmit. I don't know who finally passed me, I think the peer review process is a shambles, and it lets Coursera personnel out of the process of doing grading and opens a can of worms with an incompetent peer reviewer having the power to not pass me. I don't think I will be taking creative writing classes again at Coursera, as going through that broken peer review process and having one mentor being off the wall just wasn't worth my time and anxiety. | my chief complaint is the terrible | Method | (in creative writing classes only ? | Negative | -0.7 | -0.5 | 0.99 | 1.01 |
| lHabnht2EeWo5g5SXpDA8Q | I really enjoyed the course. I always wanted to do a course in poetry, but this is my first opportunity to do so. The course was well put together, the information explanations and the lecturers method of delivery kept you awake and attentive. He was quite dramatic but it was essential and effective. Thanks for putting it together, I learned alot and feel more confident about my poetry writing. | the information explanations and the lecturers | Method | of delivery kept you awake and | Positive | 0.6 | 1.0 | 0.99 | 1.01 |
| mxdq5kIJEeWC4g7VhG4bTQ | Great course covering Regression Machine Learning. Gives a great introduction to this topic. Teaching the methods using a case study yields for great illustrations of the concepts. | introduction to this topic. Teaching the | Method | using a case study yields for | Positive | 0.6 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | Nice explanation of concepts, and very helpful with getting started on the programming assignments. The algorithms are explained well in pseudo code, and the instructor does a good job at explaining why they work the way they do. The math is not very challenging, so I never felt frustrated. I only wish there was not such an emphasis on Graphlab. Although they do allow you to use other methods to finish the assignments, it feels as though more attention is given to explaining how Graphlab works instead of standard, free python libraries. I understand that they're trying to push a product, but I don't want to pay for something I'll only be using for a few courses. More attention should be given to sklearn. | do allow you to use other | Method | to finish the assignments, it feels | Negative | -0.6 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | I felt that the course was detailed and contained significant in-depth study about regression techniques. The assignments were well designed, starting from a single step and eventually enabling the candidate to be able to write the complete methods on his own. | be able to write the complete | Method | on his own. | Negative | -0.6 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | This course serves as a baseline for the most common regression and parameter tuning methods. | most common regression and parameter tuning | Method | | Positive | 0.6 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | This Machine Learning class and the rest of the Machine Learning series from the University of Washington is the best material on the subject matter. What really sets this course and series apart is the case-base methodology as well as in-depth technical subject matter. Specifically, the step through coding of the algorithms provides key insight that is seriously missed in other classes even in traditional academic settings. I highly encourage the authors and other Coursera publishers to continue to publish more educational material in the same framework. | and series apart is the case-base | Method | as well as in-depth technical subject | Positive | 0.6 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | An excellent and quite extensive foray into regression analyses from single-variable linear regression to nearest-neighbor and kernel regression techniques, including how to use gradient vs. coordinate descent for optimization and proper L1 and L2 regularization methods. The lecture slides have some questionable pedagogical and aesthetic qualities, and they could use some more polish from someone who specializes in teaching presentation methods, but the meat of the course comes from its quizzes and programming assignments, which are well split between practical use (via Graphlab Create and SFrame) and a nuts-and-bolts assignment that have you implement these methods from scratch. An extremely valuable course for someone who wants to use these for a data science application but also wants to understand the mathematics and statistics behind them to an appreciable degree. | and proper L1 and L2 regularization | Method | The lecture slides have some questionable | Negative | -0.6 | 0.5 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | An excellent and quite extensive foray into regression analyses from single-variable linear regression to nearest-neighbor and kernel regression techniques, including how to use gradient vs. coordinate descent for optimization and proper L1 and L2 regularization methods. The lecture slides have some questionable pedagogical and aesthetic qualities, and they could use some more polish from someone who specializes in teaching presentation methods, but the meat of the course comes from its quizzes and programming assignments, which are well split between practical use (via Graphlab Create and SFrame) and a nuts-and-bolts assignment that have you implement these methods from scratch. An extremely valuable course for someone who wants to use these for a data science application but also wants to understand the mathematics and statistics behind them to an appreciable degree. | someone who specializes in teaching presentation | Method | but the meat of the course | Negative | -0.6 | 0.5 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | Excellent presentation of fundamental concepts and good overview of some specific methods. | and good overview of some specific | Method | | Positive | 0.7 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | Fantastic course in regression, taught with the mathematical rigor necessary to really understand (not just use) the concepts. The instructors both do an amazing job introducing the concepts piece by piece in a logical and easy to follow manner. In addition, several modules have *optional* in depth derivations of key formulae for those who want to understand the mathematical underpinnings of the regression methods | the mathematical underpinnings of the regression | Method | | Positive | 0.6 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | To start with, I have been dedicating time to improve my understanding and depth in statistics and calculus. The reason is that, I am totally impressed by the lecture videos. The videos are detail, precise and covers enough depth. It has helped me to correlate the statistical concepts and application areas and rekindled my interest to go back to learn and strengthen my basics. I like the contents that its not a overdose of many mathematical equations. Appreciate the pains taken by the expert professors in explaining every detail possible to make the course more interesting. Appreciate the mention about the topics not covered in the course. My suggestion is to include a seperate section for each course with a list of reference books, topics and weblinks of material to increase our depth and breadth of technical understanding of the statistical methods. Many Thanks to Emily Fox and Carles Guestrin for their time and efforts in making this specialization course, and of course providing us with the free license to use Dato for learning purposes. | of technical understanding of the statistical | Method | Many Thanks to Emily Fox and | Positive | 0.8 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | This course offer many aspects like graphic comparison or detail math explanation help us understand more easily what a model or method means. The teacher have great effort on material design. | more easily what a model or | Method | means. The teacher have great effort | Positive | 0.8 | 1.0 | 0.58 | 1.11 |
| mxdq5kIJEeWC4g7VhG4bTQ | Got more insight to the terms and the methods used in Regression models | insight to the terms and the | Method | used in Regression models | Positive | 0.6 | 1.0 | 0.58 | 1.11 |
| NFiJtRnpEeW9dA4X94-nLQ | A very comprehensive course, that digs deep into the intricate details of Java - for beginners. Although the third module was challenging and had scope of improvement by explaining briefly what all the objects and methods meant, I managed to comprehend it. | briefly what all the objects and | Method | meant, I managed to comprehend it. | Negative | -0.6 | 1.0 | 0.75 | 0.98 |
| NFiJtRnpEeW9dA4X94-nLQ | Peer reviews was unfair. It's must be any methods to exclude inadequate learners from reviewing. Blacklists is only one way to stop them now. | was unfair. It's must be any | Method | to exclude inadequate learners from reviewing. | Negative | -0.7 | 0.0 | 0.75 | 0.98 |
| NFiJtRnpEeW9dA4X94-nLQ | Great introduction to OOP with Java. This is not a pure theoretical course, neither a entirely practical course... It is both, so the instructors present the material with a good balance between theory and practice. Part of your assignment tasks is to explore on Java classes and learn how to use their methods (functions) in your own programs, which gives you a taste of a daily programmer job. The end of course project stimulates your creativity! Nonetheless, this course will be challenging for someone who has not been exposed to any OOP concepts before. Make sure to practice a lot and go to the discussion forums, which are a great resource for help, at any moment you need it. | and learn how to use their | Method | (functions) in your own programs, which | Positive | 0.8 | 1.0 | 0.75 | 0.98 |
| NFiJtRnpEeW9dA4X94-nLQ | Excellent teachers and their teaching methods. | Excellent teachers and their teaching | Method | | Positive | 0.9 | 1.0 | 0.75 | 0.98 |
| NFiJtRnpEeW9dA4X94-nLQ | I learnt some good tricks on this course, it came at the this time for what I was doing at work. I recommend this course as it covers most of the basics, and encapsulated difficult parts, all you do call a method to do something. | parts, all you do call a | Method | to do something. | Negative | -0.6 | 0.5 | 0.75 | 0.98 |
| NFiJtRnpEeW9dA4X94-nLQ | Its a good course to take. As we learn OOP in a better understandable way. Instructors explain the concepts well. Also I always like working with maps and as this course assignments are based on map data, plotting data on real maps it like it more. But it would be great if the course have taught to execute the same code through java jar. As using Papplet via eclipse is easy but how to use the same code via computer terminal is quite tricky as we don't find any main method in our code. | as we don't find any main | Method | in our code. | Negative | -0.6 | 0.5 | 0.75 | 0.98 |
| OmgIw0C2EeWZtA4u62x6lQ | The teacher is really passionate, everything's very clear and easy to understand. It's full of all the basic knowledge one needs to know about qualitative research methods to begin working with them. | needs to know about qualitative research | Method | to begin working with them. | Negative | -0.6 | 1.0 | 0.64 | 1.13 |
| OmgIw0C2EeWZtA4u62x6lQ | Excellent introduction to qualitative research methods. Loved the lecturers enthusiastic style and quirky sense of humour. Very engaging. Assessments were practical and supported the course material. | Excellent introduction to qualitative research | Method | Loved the lecturers enthusiastic style and | Positive | 0.9 | 1.0 | 0.64 | 1.13 |
| OmgIw0C2EeWZtA4u62x6lQ | I really enjoyed the course, I learned a lot and I am planning to do more focused reading on qualitative methods especially analysis. Gerban's presentations are excellent, I wish all tutors are like him, they are organised, clear and easy to understand. | do more focused reading on qualitative | Method | especially analysis. Gerban's presentations are excellent, | Positive | 0.7 | 1.0 | 0.64 | 1.13 |
| OmgIw0C2EeWZtA4u62x6lQ | Engaging and broad-based course on qualitative research methods. Real world assignments were required, so there was a considerable commitment, which of course led to a sound learning experience. Generally I prefer courses with multiple lecturers, but the lecturer here was entertaining and interesting to watch, and very committed to ensuring that we learnt from the course. Also I noted that when students raised issues about the quizzes or assignments they were dealt with. Thanks Coursera and University of Amsterdam. | and broad-based course on qualitative research | Method | Real world assignments were required, so | Negative | -0.6 | 1.0 | 0.64 | 1.13 |
| OmgIw0C2EeWZtA4u62x6lQ | I am a strictly Quantitative Scientist so I was not sure if I would like this course or enjoy it. Surprisingly, I both liked it and enjoyed it. It was interesting learning about the Qualitative Methods that I had no idea about. The professor is very animated and keeps your interest throughout the course. I now have an appreciation for Qualitative Research Methods instead of looking down my nose at them. Great Course with a great professor. | was interesting learning about the Qualitative | Method | that I had no idea about. | Negative | -0.7 | 1.0 | 0.64 | 1.13 |
| OmgIw0C2EeWZtA4u62x6lQ | I am a strictly Quantitative Scientist so I was not sure if I would like this course or enjoy it. Surprisingly, I both liked it and enjoyed it. It was interesting learning about the Qualitative Methods that I had no idea about. The professor is very animated and keeps your interest throughout the course. I now have an appreciation for Qualitative Research Methods instead of looking down my nose at them. Great Course with a great professor. | have an appreciation for Qualitative Research | Method | instead of looking down my nose | Negative | -0.7 | 1.0 | 0.64 | 1.13 |
| P--h6zpNEeWYbg7p2_3OHQ | Just like the previous class on these Specialization. The teaching method and the dynamics of the class is very enjoyable. Finally, I am learning Python without the suffering. Excellent course, excellent teacher, excellent material. | class on these Specialization. The teaching | Method | and the dynamics of the class | Positive | 0.7 | 1.0 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | Method of teaching is excellent! | | Method | of teaching is excellent! | Positive | 0.9 | 1.0 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | It could review the use of tuples/lists on variables like the settings variables on Django. Also, it could review more complex operations over the mentioned structures, like the list insert() method. | mentioned structures, like the list insert() | Method | | Positive | 0.6 | 0.5 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | Great methods to explain the basics of Python | Great | Method | to explain the basics of Python | Positive | 0.6 | 0.5 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | Excellent teaching method. I really understood each and every topic. Thankyou Dr.Chuck! :') | Excellent teaching | Method | I really understood each and every | Positive | 0.8 | 1.0 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | Well developed, very clear and fast movement at the same time. Good exercises to practice. The method of teaching is encouraging and not boring at all. | time. Good exercises to practice. The | Method | of teaching is encouraging and not | Positive | 0.7 | 1.0 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | 2nd course with Dr Charles. I find his courses to be very informative and his teaching method is very helpful in understanding the topics fast. excited to complete the remaining items in the specialization and if Dr Charles has any other courses, i will for sure take it.... would love to have an advanced python programming class with Dr C | be very informative and his teaching | Method | is very helpful in understanding the | Positive | 0.7 | 1.0 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | Fantastic course for learning and implementing data structures in Python. I now feel like I have a healthy grasp as to how to scrub, analyze and implement data through various methods in Python. | analyze and implement data through various | Method | in Python. | Negative | -0.6 | 1.0 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | Once again a great add on to the previous course. Things are starting to get nice and icky with methods and properties. Also some interesting concepts. Well done with the training material ! | to get nice and icky with | Method | and properties. Also some interesting concepts. | Positive | 0.6 | 1.0 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | Great course to learn about python data structures in file, string, list, dictionary and tuples. It start from solving a problem with string, then move on to list, dict and tuple gradually by revisiting the same problem again and how to use the more advanced method we learn along the way. | how to use the more advanced | Method | we learn along the way. | Positive | 0.8 | 1.0 | 0.35 | 1.11 |
| P--h6zpNEeWYbg7p2_3OHQ | Awesome course, maybe I'm not giving myself enough time to digest one topic before jumping to another as I needed to refer past topic often, open sourced pdf version of book helped a lot. I wanted to know if it is possible to generated dictionary from two seperate list, and it is possible! I was able to zip two list to form a list of tuple and then used dict() method to form a dict... Might not be important but I felt the course will come a full roung when these are covered. | of tuple and then used dict() | Method | to form a dict. . . | Positive | 0.7 | 0.5 | 0.35 | 1.11 |
| PLnREdJzEeSeOiIACzWBkQ | By this lesson, I can more learn about communication skill and method to manage many other project. I think this lesson is the best to make people's project management skiil. Thank you for professor: | more learn about communication skill and | Method | to manage many other project. I | Positive | 0.7 | 1.0 | 0.66 | 0.84 |
| PLnREdJzEeSeOiIACzWBkQ | Course covers the basics and key terminologies related to PMP. It will be useful to have a few numericals/assignments to calculate Duration/Time using different methods and the associated impact of cost. | numericals/assignments to calculate Duration/Time using different | Method | and the associated impact of cost. | Positive | 0.6 | 0.5 | 0.66 | 0.84 |
| PLnREdJzEeSeOiIACzWBkQ | The course had many information provided and thanks for that. But there are some things I disliked and I guess by fixing them the course would become much much better. 1. The information refers to the PMBOK very often. That is good, as the PMBOK worth (must?) reading for any PM, but it is a bit difficult to understand anything while a teacher just retranslates something, from any book — especially not written by the one — with poor examples. The much better way for lecturer is to explain it by oneself, not by just staying there and repeating what I can read from my display. 2. I dislike fixating to any software. Maybe Microsoft Project is a good example, but I am sure not the only one at first, and as I am a Mac person who has personal Macbook and Mac Pro at work I am not going to use Windows only for one application. There are plenty of them these days, the same or just similar. The key is not a software itself but the methodology using in the one. The methodology is worth understanding, for sure. 3. Grammar mistakes and misprints. It looks a little strange that no one reviewed the materials: neither on Coursera (I am sure it is not so easy to review every course) nor the creators. I am highly puzzled about how it could be possible: if it is a free course for someone there are also many of those who are paying for the courses, and the courses also represent the University. How the University cannot find someone to check the mistakes before publications? (To be precise there are tiny mistakes related to headers and graphics which make the materials looks untidy). 4. Materials production is very poor in details, even for the key ones: typography, colours, thickness of the fonts and lines. There are no contrasts, no highlighting — that looks as a draft, not as a final course worth spending the time, effort and money. If there are no people available to help with producing the materials of a good quality you can ask people from trueowl inc. (the website is trueowl.com and the working email is trueowl@trueowl.com) to help with it. They — we, as I am member of the team — are highly concerned about educational materials and motivated to enhance the quality of the materials, even for free of charge. Anyway I am glad I finished this course, as it gave me understanding which way should I continue with diving deeper into the theme. Thank you! | not a software itself but the | Method | using in the one. The methodology | Negative | -0.7 | 0.0 | 0.66 | 0.84 |
| PLnREdJzEeSeOiIACzWBkQ | The course had many information provided and thanks for that. But there are some things I disliked and I guess by fixing them the course would become much much better. 1. The information refers to the PMBOK very often. That is good, as the PMBOK worth (must?) reading for any PM, but it is a bit difficult to understand anything while a teacher just retranslates something, from any book — especially not written by the one — with poor examples. The much better way for lecturer is to explain it by oneself, not by just staying there and repeating what I can read from my display. 2. I dislike fixating to any software. Maybe Microsoft Project is a good example, but I am sure not the only one at first, and as I am a Mac person who has personal Macbook and Mac Pro at work I am not going to use Windows only for one application. There are plenty of them these days, the same or just similar. The key is not a software itself but the methodology using in the one. The methodology is worth understanding, for sure. 3. Grammar mistakes and misprints. It looks a little strange that no one reviewed the materials: neither on Coursera (I am sure it is not so easy to review every course) nor the creators. I am highly puzzled about how it could be possible: if it is a free course for someone there are also many of those who are paying for the courses, and the courses also represent the University. How the University cannot find someone to check the mistakes before publications? (To be precise there are tiny mistakes related to headers and graphics which make the materials looks untidy). 4. Materials production is very poor in details, even for the key ones: typography, colours, thickness of the fonts and lines. There are no contrasts, no highlighting — that looks as a draft, not as a final course worth spending the time, effort and money. If there are no people available to help with producing the materials of a good quality you can ask people from trueowl inc. (the website is trueowl.com and the working email is trueowl@trueowl.com) to help with it. They — we, as I am member of the team — are highly concerned about educational materials and motivated to enhance the quality of the materials, even for free of charge. Anyway I am glad I finished this course, as it gave me understanding which way should I continue with diving deeper into the theme. Thank you! | methodology using in the one. The | Method | is worth understanding, for sure. 3. | Positive | 0.7 | 0.0 | 0.66 | 0.84 |
| Qqmr3fBKEeWLaBLI8fdMlw | I enjoyed the course. My background is mathematics, but not specifically statistics, though I do have a basic understanding of elementary frequentist statistics. My goal was to understand the fundamentals and uses of Bayesian statistics, having attempted that via a couple of textbooks without much success; this time, I got it! I do have some reservations about the course. Herbie Lee spent a huge amount of time deriving formulas and methods - a few gaps (either hand waving or 'leave it to the student to finish') would have been helpful, I think. This would leave more time for examples and applications. But the course was well worth my time and effort. | amount of time deriving formulas and | Method | - a few gaps (either hand | Negative | -0.6 | 0.5 | 0.75 | 0.86 |
| Qqmr3fBKEeWLaBLI8fdMlw | A great introduction. I feel like I know a lot more about bayesian statistics now. But I do mostly feel like there is quite a bit I don't know, and while I passed, I feel like there is quite a bit more I need to do to really 'get it'. The professor recommended some books in a discussion forum and I'll be going through some of those next I am sure. I also feel, looking back, I should have had some additional math preparation before starting. The calculus was vaguely familiar but with the pace of the lectures, I felt occasionally lost. I would have found it helpful if there was a quick primer on calculus to know and review at the beginning of the course. All in all great course. Loved the presentation method. | all great course. Loved the presentation | Method | | Positive | 0.9 | 0.5 | 0.75 | 0.86 |
| qVetW596EeW6bw4ogk2HGQ | This course is very valuable and relevant (in current time). The course very elegantly brings design thinking, lean startup and Agile methodology together in one practice. | design thinking, lean startup and Agile | Method | together in one practice. | Positive | 0.7 | 1.0 | 1.05 | 1.18 |
| qVetW596EeW6bw4ogk2HGQ | This course does an excellent job of breaking down the components of design sprints, offering an actionable formula for those new to this method of experimentation. | formula for those new to this | Method | of experimentation. | Positive | 0.6 | 1.0 | 1.05 | 1.18 |
| qVetW596EeW6bw4ogk2HGQ | I only did week one of the course and quit for the following reasons: Presentation of the content is too fast and provides little information among lots of noise. Most of what's said is generic keywords assembled in sentences that don't make much sense, or implies "common sense" evidences barely illustrated with vague figures and no sources to support them. It makes everything hard to follow for beginners and unconvincing for more advanced students. On top of that, I feel offended by the mysogynist examples and the underlying contradictory assumptions that designers outside of agile are basically incompetent while saying at the same time that they will just use methods they already know anyway. | time that they will just use | Method | they already know anyway. | Negative | -0.6 | -1.0 | 1.05 | 1.18 |
| rc5KG0aUEeWG1w6arGoEIQ | Got me face to face with the details in financial statements and quick analyses through ratios and easy methods. An addition to your usual MBA class. | quick analyses through ratios and easy | Method | An addition to your usual MBA | Positive | 0.8 | 0.5 | 0.53 | 1.05 |
| rc5KG0aUEeWG1w6arGoEIQ | The first 3 weeks demonstrate how to analyze financial performance based on accounting data taken from a company's reported income and investment decisions (10-K for example). The material is presented in an interesting manner with extensive use of Excel spreadsheets to demonstrate the calculation and application of common performance metrics and ratios. The test are challenging and interesting. I retook test I had passed because the information cover was interesting and the test provided an excellent learning opportunity. The fourth week deals with liking non-financial measures to financial performance. Within a typical organization, these parameters are often the ones employees most affect and are often measured against. The concepts and methods of evaluating presented with examples to demonstrate some of the problems with linking non-financial measures to financial performance. I will be able to use what I have learned from both of these classes in my current job. I evaluate current business strategies of my company against competitive business strategies. Since the competitive business strategies must be deduced from a combination of published information and reported financial performance, the first three weeks will be of greatest benefit in this aspect of my job. The last week will be of more benefit as I help business organization within my company develop their business strategies. | often measured against. The concepts and | Method | of evaluating presented with examples to | Positive | 0.7 | 1.0 | 0.53 | 1.05 |
| rc5KG0aUEeWG1w6arGoEIQ | This course was very informative and can easily be used in any business setting. I can go an apply the methods learned in this course to any organization's financial statement to get a better idea of their financial performance. I really enjoyed in week 4 how the information learned in prior weeks can be tied to nonfinancial measures in developing a causal model to improve the performance of a company. | I can go an apply the | Method | learned in this course to any | Negative | -0.7 | 1.0 | 0.53 | 1.05 |
| rc5KG0aUEeWG1w6arGoEIQ | Definitely good course for those working in either accounting or analytics. It gave me new ideas on how to apply analytical methods. Interesting examples on how to identify number management and how analytics can help to set up non-financial metrics that drive financial outcomes. | ideas on how to apply analytical | Method | Interesting examples on how to identify | Positive | 0.7 | 0.5 | 0.53 | 1.05 |
| rc5KG0aUEeWG1w6arGoEIQ | Challenging course, a mixture of forensic and investigation method in accounting | a mixture of forensic and investigation | Method | in accounting | Positive | 0.6 | 1.0 | 0.53 | 1.05 |
| rNpCSyQbEeWXzxJxfIL00w | Great course that really highlights, with science to support, the tangible benefits and methods of pursuing positive emotions and thoughts. Definitely not a "lovey dovey" course, but rather a rich scientific approach to understanding and applying positive emotions and thoughts. | to support, the tangible benefits and | Method | of pursuing positive emotions and thoughts. | Positive | 0.7 | 1.0 | 0.62 | 1.17 |
| rNpCSyQbEeWXzxJxfIL00w | An excellent introduction of Positive Psychology and a very generous delivery of the course. I would like to thank Dr. Barbara L. Fredrickson and her team because the coherent and friendly methodology. I have reinforce my ideas about the huge possibilities that authentic social connections could imply. Thank you all. . | team because the coherent and friendly | Method | I have reinforce my ideas about | Negative | -0.6 | 1.0 | 0.62 | 1.17 |
| rNpCSyQbEeWXzxJxfIL00w | Its great course. Teaching method and techniques are so good. and so helpful to learn how to be positive in real life. | Its great course. Teaching | Method | and techniques are so good. and | Positive | 0.9 | 1.0 | 0.62 | 1.17 |
| rTTFFgb8EeWJMSIAC7Jl0w | Of all the lectures i have come across, (along with social psychology course of Wesleyan University), this one stands out, the profound depth and the sheer amount of information packaged, in simple language without simplifying, it's one of the best course i have come across, the instructor is very eloquent and articulate, its stimulating and interesting, i can't ask for more, thank you. P.S. though i listen to all the lectures, making notes - as i'm preparing for my psychology research methodology exam-, i'm a non-active participant. | i'm preparing for my psychology research | Method | exam-, i'm a non-active participant. | Negative | -0.6 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | I have really learned and advanced my knowledge in quantitative methods. A big thanks to the course instructors and anyone who contributed to the success of this course. the perspicuous and lucid explanations in the videos lectures were so self explanatory. | and advanced my knowledge in quantitative | Method | A big thanks to the course | Positive | 0.8 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | This course is very insightful, and a great introduction into Quantitative Methods and questionable research practices! The instructor is very insightful, and communicates the information in a highly digestible manner! Thank you! | and a great introduction into Quantitative | Method | and questionable research practices! The instructor | Positive | 0.7 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | The course gave a really structured sense of what scientific method is and how scientific research shall be conducted. Assessing how the material is exposed to students - one of best courses here, imho. | really structured sense of what scientific | Method | is and how scientific research shall | Positive | 0.7 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Good Course. It should be complemented with reading of Neuman, Quantitative and Qualitative Methods in Social Science, which gives a far better overview of the contents of week 1 and 2 (insights into the scientific method). Nevertheless the rest of the weeks are very good and should provide a great framework of Quantitative methods for a undergraduate student, who can then complement this framework with some detailed additional readings, if it is of his liking. All in all, I really ended my fisrt college semester with an excellent knowledge in quantitative methods, for which I have to thank, in part to Miss Scholten for this wonderful course. | reading of Neuman, Quantitative and Qualitative | Method | in Social Science, which gives a | Positive | 0.6 | 0.5 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Good Course. It should be complemented with reading of Neuman, Quantitative and Qualitative Methods in Social Science, which gives a far better overview of the contents of week 1 and 2 (insights into the scientific method). Nevertheless the rest of the weeks are very good and should provide a great framework of Quantitative methods for a undergraduate student, who can then complement this framework with some detailed additional readings, if it is of his liking. All in all, I really ended my fisrt college semester with an excellent knowledge in quantitative methods, for which I have to thank, in part to Miss Scholten for this wonderful course. | and 2 (insights into the scientific | Method | Nevertheless the rest of the weeks | Negative | -0.6 | 0.5 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Good Course. It should be complemented with reading of Neuman, Quantitative and Qualitative Methods in Social Science, which gives a far better overview of the contents of week 1 and 2 (insights into the scientific method). Nevertheless the rest of the weeks are very good and should provide a great framework of Quantitative methods for a undergraduate student, who can then complement this framework with some detailed additional readings, if it is of his liking. All in all, I really ended my fisrt college semester with an excellent knowledge in quantitative methods, for which I have to thank, in part to Miss Scholten for this wonderful course. | provide a great framework of Quantitative | Method | for a undergraduate student, who can | Positive | 0.7 | 0.5 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Good Course. It should be complemented with reading of Neuman, Quantitative and Qualitative Methods in Social Science, which gives a far better overview of the contents of week 1 and 2 (insights into the scientific method). Nevertheless the rest of the weeks are very good and should provide a great framework of Quantitative methods for a undergraduate student, who can then complement this framework with some detailed additional readings, if it is of his liking. All in all, I really ended my fisrt college semester with an excellent knowledge in quantitative methods, for which I have to thank, in part to Miss Scholten for this wonderful course. | with an excellent knowledge in quantitative | Method | for which I have to thank, | Positive | 0.9 | 0.5 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Excellent introduction to quantitative Methods! | Excellent introduction to quantitative | Method | | Positive | 0.8 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | An excellent course! Quantitative methods are very well explained, starting from philosophical roots. I liked a lot the challenging tasks and peer review principal. By checking my peers' work I was able to learn several times more than from just going through the videos and completing my own work. I enjoyed the whole design of the course, including the professional illustrations and graphic design work. Great thanks to the whole team! | An excellent course! Quantitative | Method | are very well explained, starting from | Positive | 0.8 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Clear and great methodology! | Clear and great | Method | | Positive | 0.8 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Funny, useful, clear and serious too. I loved it. Many methodology courses before, but this one addresses also ethics on research practices and History of philosophy of science. simply I adored it and learned a lot. I strongly recommend it. It is so useful for my work and my everyday life. Interviews with real researchers and revising real publications helped me to conect contents with my inmediate reality.. Thanks to all team and congratulations for such a great course. | serious too. I loved it. Many | Method | courses before, but this one addresses | Positive | 0.7 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Excellent explanation and assessment methods. Dr Scholten is simply great. | Excellent explanation and assessment | Method | Dr Scholten is simply great. | Positive | 0.8 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | I had taken 99% of the course last time, but didn't have time to do the assignments or complete it fully. I was pleased to see it was running again. I've followed many many many Courseras and this is by far the highest quality. Well done! What you did right? Illustrations. They perfectly capture the concept without distracting. They are amusing and just-the-right-degree-of-imperfect, which makes the course material feel approachable.The graphic design. The slightly messy, hand-written, crumpled paper background design is perfect. Not pretentious, not overly boring. Just that little touch of individualism and authenticity we need. This is a great way to avoid alienating your students, to keep a connection. Philosophy of science, history of science, research designs, etc. Despite having studied for a BSc, an MSc, and a scientific postgrad, I had to find out about these concepts through on-line courses and podcasts. I was really happy to see these neatly presented to me in a structured way in one spot in the context of a formal Research methods course. When covering these sections, you also did a great job at sticking to the important stuff. I am extremely impressed. In the reality of research, we get sucked in by the nitty gritty and forget about the big picture. Wonderful, wonderful, wonderful framework behind the scientific method.You actually bothered spell-checking the transcript, particularly for proper names. I've had Courseras where the transcript seemed more like a onomatopeas than serious text. This is all I remember for now, all that's fresh off my mind, as am just up to week 2 right now, but I wanted to give you all a thumbs up for this great course you've wrapped up. I am seriously considering registering for the entire specialisation because of the quality of this course. | wonderful, wonderful framework behind the scientific | Method | You actually bothered spell-checking the transcript, | Positive | 0.7 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | This is a course that is well thought out, informative, descriptive, and enjoyable! I was excited to start each new week of Quantitative Methods, and to learn more about research methods! I definitely recommend this course to anyone who is interested in research, and this will help strengthen your basics in quantitative methods. I commend Prof. Annemarie Zand Scholten, and the rest of the team from UAmsterdam for bringing a wonderful course to the Coursera platform! I can't wait to start & finish the rest! | start each new week of Quantitative | Method | and to learn more about research | Positive | 0.7 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | This is a course that is well thought out, informative, descriptive, and enjoyable! I was excited to start each new week of Quantitative Methods, and to learn more about research methods! I definitely recommend this course to anyone who is interested in research, and this will help strengthen your basics in quantitative methods. I commend Prof. Annemarie Zand Scholten, and the rest of the team from UAmsterdam for bringing a wonderful course to the Coursera platform! I can't wait to start & finish the rest! | and to learn more about research | Method | I definitely recommend this course to | Positive | 0.8 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | This is a course that is well thought out, informative, descriptive, and enjoyable! I was excited to start each new week of Quantitative Methods, and to learn more about research methods! I definitely recommend this course to anyone who is interested in research, and this will help strengthen your basics in quantitative methods. I commend Prof. Annemarie Zand Scholten, and the rest of the team from UAmsterdam for bringing a wonderful course to the Coursera platform! I can't wait to start & finish the rest! | help strengthen your basics in quantitative | Method | I commend Prof. Annemarie Zand Scholten, | Positive | 0.6 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | I was very impressed with the perspective the course took. I had not seen the topic covered from the point of view of the harm to society poor methodology had. | of the harm to society poor | Method | had. | Negative | -0.7 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | I learned much more in this course than other courses about quantitative methods. It is clear and useful and inspiring. The quizzes are very good, because they are not only about konwledge,but also about whether you can apply the knowledge. And the interviews are very good too, which give us more information in different subjiects, or from different perspectives. But I feel the speaker's speaking speed is a little fast, and I hope that there will be exercise or quizzes in which we are given situation,and asked to come up with RQ, methods, analysis, etc. | course than other courses about quantitative | Method | It is clear and useful and | Positive | 0.6 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | I learned much more in this course than other courses about quantitative methods. It is clear and useful and inspiring. The quizzes are very good, because they are not only about konwledge,but also about whether you can apply the knowledge. And the interviews are very good too, which give us more information in different subjiects, or from different perspectives. But I feel the speaker's speaking speed is a little fast, and I hope that there will be exercise or quizzes in which we are given situation,and asked to come up with RQ, methods, analysis, etc. | asked to come up with RQ, | Method | analysis, etc. | Negative | -0.7 | 1.0 | 0.49 | 1.13 |
| rTTFFgb8EeWJMSIAC7Jl0w | Nicely explained with easy to understand examples. Quite hard for those who have never studied research methods. Very dense information. I found one or two questions in the weekly quiz that I couldn`t answer with the knowledge available in the videos. | those who have never studied research | Method | Very dense information. I found one | Positive | 0.6 | 0.5 | 0.49 | 1.13 |
| u3goXsk9EeWT3Aqsn0BGnQ | Some parts are needed more clarification. In other words, as a student of the course you need to go beyond the materials, since the materials are not self-sufficient. Specially about simulation methods. However, this is not the reason that I give the course 4 out of 5. The absence of any help from TAs, based on my experience, is the reason. I expected some official replies to my question while there are only a few question for each week of the course. | are not self-sufficient. Specially about simulation | Method | However, this is not the reason | Negative | -0.7 | 0.5 | 0.74 | 0.96 |
| u3goXsk9EeWT3Aqsn0BGnQ | I am eventually understanding statistical concepts, and realizing delicate differences between similar concepts and methods. | delicate differences between similar concepts and | Method | | Positive | 0.7 | 1.0 | 0.74 | 0.96 |
| v0l76HmGEeSi3yIACzSGcw | Brilliantly well structured and pragmatically applicative course and with George Siedel Sir's teaching methods and guidance this course is a must take for aspiring professionals. | and with George Siedel Sir's teaching | Method | and guidance this course is a | Positive | 0.6 | 1.0 | 0.65 | 1.06 |
| v0l76HmGEeSi3yIACzSGcw | As a administration professional, this course improved my career in global sphere of negotiation. Teaching keys, tactics and many others ways to achieve what the best alternative to conduct situations. I have no doubt about this awesome learning method. Thank you Coursera! Thank you Mr. George Siedel! | no doubt about this awesome learning | Method | Thank you Coursera! Thank you Mr. | Positive | 0.8 | 1.0 | 0.65 | 1.06 |
| v0l76HmGEeSi3yIACzSGcw | Excellent material and methods, i found the course extremely useful and practical | Excellent material and | Method | i found the course extremely useful | Positive | 0.6 | 0.5 | 0.65 | 1.06 |
| v0l76HmGEeSi3yIACzSGcw | This course is very useful not only in commercial negotiation but also in daily affairs, such as dealing with office disputes through mediation or arbitration. I think those methods and concepts are quite pragmatic and really enlightened me a lot. | mediation or arbitration. I think those | Method | and concepts are quite pragmatic and | Negative | -0.6 | 1.0 | 0.65 | 1.06 |
| v0l76HmGEeSi3yIACzSGcw | In progress actually, but I already approve the methods ! | actually, but I already approve the | Method | ! | Negative | -0.6 | 1.0 | 0.65 | 1.06 |
| v9CQdBkhEeWjrA6seF25aw | Ithink this course is unbelievably usefuland exciting but there weren't much information about educational method which was essentual,in my opinion. Thank you for your gripping course!!! | there weren't much information about educational | Method | which was essentual, in my opinion. | Negative | -0.7 | 0.5 | 0.7 | 0.91 |
| v9CQdBkhEeWjrA6seF25aw | MoMA provides an organized, wonderful, and easy to understand course that is often called art appreciation. This course differs from ones I took in college, thankfully, by pleasantly presenting methods and themes for analyses. I'm downloading all the presentations so I can watch them again. | in college, thankfully, by pleasantly presenting | Method | and themes for analyses. I'm downloading | Positive | 0.6 | 1.0 | 0.7 | 0.91 |
| xj2LNEUVEeWE9A7XSkBY3w | An extremely thorough overview on overall survey design methodology. | thorough overview on overall survey design | Method | | Positive | 0.6 | 0.5 | 0.65 | 0.77 |
| xj2LNEUVEeWE9A7XSkBY3w | A good overview of surveys and data collection methods. The Total Survey Error framework is good, but its application isn't shown as strongly as it should be. Regardless this is a good primer for future material. | overview of surveys and data collection | Method | The Total Survey Error framework is | Negative | -0.7 | 0.5 | 0.65 | 0.77 |
| YfjiOHROEeWLqw7zlLhRzQ | Well balanced course with a lot of practical examples which help to understand the theory. I apply statistical inference methods myself, and nevertheless I've found new topics here. Thank you! | the theory. I apply statistical inference | Method | myself, and nevertheless I've found new | Positive | 0.6 | 1.0 | 0.98 | 1.08 |
| YfjiOHROEeWLqw7zlLhRzQ | Poor concepts exposition with a bad teaching method. | concepts exposition with a bad teaching | Method | | Negative | -0.7 | -0.5 | 0.98 | 1.08 |
| YfjiOHROEeWLqw7zlLhRzQ | Many videos lacked associated pdf slides so confusing to watch. Some topics on slides were not covered in videos. A supplemental video for those would be great even of optional. Brian Cato is a good presenter, however, more examples needed to be done showing how to work out various statistical problems both by traditional method and using R. | various statistical problems both by traditional | Method | and using R. | Positive | 0.6 | -1.0 | 0.98 | 1.08 |
| YfjiOHROEeWLqw7zlLhRzQ | Homework, lectures, and the quiz are completely out of sync. Bayes rule is introduced and appears in the homework but no where else. Things appear on the quiz that aren't in the home work or lecture. This was put together from scraps of another lecture, but in an incoherent fashion. When Caffo tells the viewer that they'll need to use other resources, he wasn't kidding. I dropped this the first time when I kept introducing things that completely had not been introduced, took another stats class, then came back and aced it. I don't mind accelerated learning or using other resources, but there's guide for which concepts are needed and where coverage for them can be found. This leaves little recourse but to know stats already, or go learn it before taking this course. Otherwise you don't know enough to even go find the pieces you need. Incidentally, the dude who does the lectures for Khan Academy does a fantastic job and the lectures are a joy to watch, though some people might prefer something that moves less slowly and carefully and perhaps they would prefer something that glosses over the fundamental concepts more. If that's the case, I can't say enough good things about Biostatistical Analysis by Zar but thoroughly, logically categorizing statistical methods with short, clear examples, references to the original research, and building up one concept after another in logical order. The chapters are short, but the first 16 or so should give you a good enough foundation to deal with about any intro stats class. As it is, Caffo's presentation needs some serious testing and remodeling, but there's no indication that it'll match what Khan Academy did regardless of how much work goes in. At best, it's a bitter pill you can swallow if you already know the concepts. | Zar but thoroughly, logically categorizing statistical | Method | with short, clear examples, references to | Negative | -0.6 | -1.0 | 0.98 | 1.08 |
| ypgDPuPQEeSyBSIAC9REKg | Great methods for learning the basics of jazz improv! | Great | Method | for learning the basics of jazz | Positive | 0.7 | 1.0 | 0.42 | 1.18 |
| ypgDPuPQEeSyBSIAC9REKg | Really great course. I am currently working on the Jazz Guitar Professional Certificate program at Berklee online, and I will definitely take this class for a more detailed dive-in. Gary opened my mind on the keys skills to improvise, his chord-scale method explanation, and demonstration is simple to understand and provides a great way to continue practicing and developing the skills thought. | keys skills to improvise, his chord-scale | Method | explanation, and demonstration is simple to | Positive | 0.7 | 1.0 | 0.42 | 1.18 |
| ypgDPuPQEeSyBSIAC9REKg | A tough but rewarding course! Especially if you are a beginner with respect to playing jazz, as I am, and if you are also a beginner with respect to music theory (which I am not, I have a master's degree in musicology), I guess it is more than tough. It's been more hard work than I expected, and I have spent more than 6 hours per week, but I also learned much more than I expected: a complete method for understanding jazz harmonization and developing solos. I know for sure that I shall benefit from this course for years to come. | more than I expected: a complete | Method | for understanding jazz harmonization and developing | Negative | -0.6 | 1.0 | 0.42 | 1.18 |
| ypgDPuPQEeSyBSIAC9REKg | Opened up a whole new world for me :) Gary Burton's topics method of explaining concepts and the course topics touched upon are just right :) Thank you Coursera ! | for me :) Gary Burton's topics | Method | of explaining concepts and the course | Positive | 0.7 | 1.0 | 0.42 | 1.18 |
| ypgDPuPQEeSyBSIAC9REKg | Great approach to improvisation, great method for on line lessons | Great approach to improvisation, great | Method | for on line lessons | Positive | 0.8 | 1.0 | 0.42 | 1.18 |
| __y3wBnnEeW9dA4X94-nLQ | The teachers are great, I love this courses and the method for the students. Very Challenging, enjoy it!! A great experience | I love this courses and the | Method | for the students. Very Challenging, enjoy | Positive | 0.8 | 1.0 | 0.86 | 0.93 |
| __y3wBnnEeW9dA4X94-nLQ | The staff of this course is really nice, that's the best part of it. Unfortunately, in my opinion this course is not intended for real beginners. From class one I struggled trying to understand what was going on. This may be because instead of just using a typical ide like eclipse or netbeans, they use bluejay, which works different than the rest of ides. In addition, programs used in the course are pretty confusing (If you know 0 Java). I learned most of the basic concepts (classes, methods) for whole week 1 from a single 15 minute video-course from youtube without all the struggling. As I mentioned this only applies if you are a total newbie, if you already know some Java I think you'll be fine. | most of the basic concepts (classes, | Method | for whole week 1 from a | Negative | -0.6 | 0.0 | 0.86 | 0.93 |