| Doc_id | Review | Left | Term | Right | Sentiment | Polarity | Rating | Contradiction-Based_MOY | Contradiction-Based_Ci |
| 0aY3BdGZEeSX5iIAC4tS5g | Really liked the examples you gave! Great teaching method! | the examples you gave! Great teaching | Method | | Positive | 0.68 | 1.0 | 0.6 | 1.11 |
| 0aY3BdGZEeSX5iIAC4tS5g | very practical and brief to understand the whole method about finance | and brief to understand the whole | Method | about finance | Negative | -0.66 | 1.0 | 0.6 | 1.11 |
| 0aY3BdGZEeSX5iIAC4tS5g | A very basic, however, very important topics were covered for Non-Financials Pros. Great teaching method! | covered for Non-Financials Pros. Great teaching | Method | | Positive | 0.69 | 1.0 | 0.6 | 1.11 |
| 1ndQqNPxEeSloiIAC3kKUw | I liked. these methods really drives into good time management | I liked. these | Method | really drives into good time management | Positive | 0.73 | 0.5 | 0.84 | 1.08 |
| 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 | -0.65 | -1.0 | 0.84 | 1.08 |
| 1ndQqNPxEeSloiIAC3kKUw | I use taught methods and could manage time more efficiently. | I use taught | Method | and could manage time more efficiently. | Negative | -0.8 | 1.0 | 0.84 | 1.08 |
| 1ndQqNPxEeSloiIAC3kKUw | simple and useful tips. the lecturer introduced importance and method for time log, prioritization, dealing with different tasks (do immediately, archive, do later, wait for other information), keeping only 1 calendar, etc. also, she introduced the "switching cost" concept and way to decrease it (taking notes before switching task), which is very useful | tips. the lecturer introduced importance and | Method | for time log, prioritization, dealing with | Positive | 0.91 | 0.5 | 0.84 | 1.08 |
| 1ndQqNPxEeSloiIAC3kKUw | I think the best quality of this course is that it is a short course, which bolds the most important facts in our mind. It is not like that we don't know them at all, It's just we don't pay much or enough attention. I start using this method from today and I hope it goes well ! You should try this course, I think it worth it ! | enough attention. I start using this | Method | from today and I hope it | Positive | 0.95 | 0.0 | 0.84 | 1.08 |
| 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 | 0.95 | 0.5 | 0.84 | 1.08 |
| 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 | Positive | 0.69 | 1.0 | 0.84 | 1.08 |
| 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 | 0.95 | 1.0 | 0.53 | 1.24 |
| 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 | -0.66 | 0.5 | 0.53 | 1.24 |
| 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 | 0.99 | 1.0 | 0.53 | 1.24 |
| 2H8ExCTIEeWeDBJG1XrG0w | Great Course!! Excellent teacher and methods, with very pleasant projects =) | Great Course! ! Excellent teacher and | Method | with very pleasant projects =) | Positive | 0.97 | 1.0 | 0.53 | 1.24 |
| 2H8ExCTIEeWeDBJG1XrG0w | Exceptional introductory course. Lessons were well organized, different methods were used to perform the same function to show flexibility, simply a pure joy to take! | course. Lessons were well organized, different | Method | were used to perform the same | Positive | 0.72 | 1.0 | 0.53 | 1.24 |
| 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 | Positive | 0.83 | 0.5 | 0.78 | 1.04 |
| 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 | 0.74 | 1.0 | 0.78 | 1.04 |
| 3G1aij8iEeWKOBLv1z6n9w | It is a very good course for everyone to learn basic of Korean. For me who have learned Korean by read Korean lesson book somehow this course not give much thing to learn. GRAMMAR (5/5) This course is good because it give me more insight about Korean grammar (difference between normal. formal, and informal speech; the using of 예요/ 이에요, 이/가, etc). THE TEACHER (5/5) She explain clearly and give some exercise in the video to make us practice. I like the method. VOCABULARY (3/5) There were not much vocabulary in the course. I hope Yonsei University would add more new vocabulary in the course. TEST/ ASSIGNMENT (3/5) I've taken another language online course at another site that similar to Coursera. That site's assignments more complex than this course's given. This site only test our reading and listening but there were not speaking aspect that scored here. And I wish you will add writing aspect to the course. LESSON (3/5) The lessons those given here really simple. They were easy to understand, but I hope there will be a sequel of this course that will give us more advance lessons. Recommendation: - add more vocabulary, - add speaking and writing assignment, - a sequel of this course. Thank you for coursera and Yonsei University for giving me an opportunity to learn Korean Language for free. | make us practice. I like the | Method | VOCABULARY (3/5) There were not much | Negative | -0.86 | 0.5 | 0.78 | 1.04 |
| 5uXCfFu2EeSU0SIACxCMgg | Thanks to this course, i am now understanding the principle and methodology of phylogenetics | am now understanding the principle and | Method | of phylogenetics | Negative | -0.85 | 0.0 | 0.77 | 0.92 |
| 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 | 0.96 | 0.5 | 0.77 | 0.92 |
| 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 | 0.67 | 0.5 | 0.77 | 0.92 |
| 6lQZLjVvEeWfzhKP8GtZlQ | 5/5 if there were more pictures and diagrams of the methods while they were talking to better visualize. | more pictures and diagrams of the | Method | while they were talking to better | Negative | -0.67 | 0.5 | 0.77 | 0.87 |
| 6lQZLjVvEeWfzhKP8GtZlQ | Nice overview of different practices and methods. | Nice overview of different practices and | Method | | Positive | 0.86 | 0.5 | 0.77 | 0.87 |
| 7A1yFTaREeWWBQrVFXqd1w | Method of delivery was excellent! | | Method | of delivery was excellent! | Positive | 0.94 | 1.0 | 0.43 | 1.3 |
| 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 | 0.97 | 1.0 | 0.43 | 1.3 |
| 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 | 1.0 | 1.0 | 0.43 | 1.3 |
| 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 | Negative | -0.65 | 1.0 | 0.43 | 1.3 |
| 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 | -0.92 | 1.0 | 0.43 | 1.3 |
| 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 | 0.82 | 1.0 | 0.43 | 1.3 |
| 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 | 0.99 | 0.5 | 0.43 | 1.3 |
| 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 | 0.75 | 1.0 | 0.43 | 1.3 |
| 7A1yFTaREeWWBQrVFXqd1w | I think sometimes it got very confusing some of the examples being the exact same from chapter to chapter. It was nice having a ground for it but i started to question why would you use this method instead of the one we used before for hours and rate specifically. | question why would you use this | Method | instead of the one we used | Negative | -0.99 | 0.5 | 0.43 | 1.3 |
| 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 | 0.97 | 1.0 | 0.43 | 1.3 |
| 7A1yFTaREeWWBQrVFXqd1w | Method of teaching is very well! | | Method | of teaching is very well! | Positive | 0.98 | 1.0 | 0.43 | 1.3 |
| 7A1yFTaREeWWBQrVFXqd1w | This course is very excellent, and it gives you the basic knowledge of computers not only the methods to program. Moreover, it is also suitable for the newcomer. | knowledge of computers not only the | Method | to program. Moreover, it is also | Positive | 0.91 | 1.0 | 0.43 | 1.3 |
| 7A1yFTaREeWWBQrVFXqd1w | Excellent method of teaching and course structure. | Excellent | Method | of teaching and course structure. | Positive | 0.84 | 1.0 | 0.43 | 1.3 |
| 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 | 0.91 | 1.0 | 0.43 | 1.3 |
| 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 | 0.99 | 1.0 | 0.43 | 1.3 |
| 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 | 1.0 | 1.0 | 0.43 | 1.3 |
| 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 | 0.64 | 1.0 | 0.43 | 1.3 |
| 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 | 0.95 | 1.0 | 0.43 | 1.3 |
| 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 | 0.99 | 0.5 | 0.43 | 1.3 |
| 7A1yFTaREeWWBQrVFXqd1w | Exceptional teaching skills and very good dynamics. Incridable course methodology, I recommend. | and very good dynamics. Incridable course | Method | I recommend. | Positive | 1.0 | 1.0 | 0.43 | 1.3 |
| 7A1yFTaREeWWBQrVFXqd1w | Excellent Courser with great teaching methods..!! | Excellent Courser with great teaching | Method | . ! ! | Positive | 0.97 | 1.0 | 0.43 | 1.3 |
| 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 | 0.99 | 1.0 | 0.43 | 1.3 |
| 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 | 0.93 | 1.0 | 0.43 | 1.3 |
| 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 | 0.67 | 1.0 | 0.43 | 1.3 |
| 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 | Positive | 0.71 | 1.0 | 0.43 | 1.3 |
| 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 | 0.43 | 1.3 |
| 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 | 0.94 | 1.0 | 0.43 | 1.3 |
| 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 | 0.76 | 1.0 | 0.43 | 1.3 |
| 7A1yFTaREeWWBQrVFXqd1w | Really liked the way Mr. Severance approaches the problem and his methods of teaching. He is by far the goofiest teacher on coursera which is unique in a way and also desirable I think. He makes learning fun. Great Job. All the best for future courses. Will surely want to take another course on python taught by Mr. Severance. :) | Severance approaches the problem and his | Method | of teaching. He is by far | Negative | -0.65 | 1.0 | 0.43 | 1.3 |
| c_rkuRoBEeWDtQoum3sFeQ | The first two weeks the course present a reasonable pace for beginners. The second two weeks, when the Java Script is introduced, the projects suddenly become very hard. It is assumed you understand binary numbers. Coding is introduced without a lot of explanation of Java Script syntax or methods or what actually happens when you write a line of code. The idea of hiding an image within an image is interesting but I do not see that as important for beginners web developers- how is this relevant to building a web site? | explanation of Java Script syntax or | Method | or what actually happens when you | Negative | -0.91 | 0.0 | 1.07 | 1.14 |
| c_rkuRoBEeWDtQoum3sFeQ | I have learnt a lot in this course. Also it is great that the methodology and algorithm are taught systematically | Also it is great that the | Method | and algorithm are taught systematically | Positive | 0.99 | 1.0 | 1.07 | 1.14 |
| DYv7azSfEeWgIQ7IEhB31Q | I highly recommend this course. Easy to follow, good contents and great teaching methodology. It's an introductory course. | follow, good contents and great teaching | Method | It's an introductory course. | Positive | 0.95 | 1.0 | 0.61 | 1.27 |
| DYv7azSfEeWgIQ7IEhB31Q | I feel satisfactory with methodology from course, now with this new knowlegde, can make more in the Software of Project. Thanks so much, regard. | I feel satisfactory with | Method | from course, now with this new | Negative | -0.74 | 1.0 | 0.61 | 1.27 |
| DYv7azSfEeWgIQ7IEhB31Q | A very good course, offered in very smart method Clear course objectives, good notes, language suitable for non-native speakers, excellent filming quality and the plus is using cartons which simplify the ideas Thanks university of Alberta and all the instructors | good course, offered in very smart | Method | Clear course objectives, good notes, language | Positive | 0.94 | 1.0 | 0.61 | 1.27 |
| DYv7azSfEeWgIQ7IEhB31Q | Good Course, Good introduction to Agile Methodology | Good Course, Good introduction to Agile | Method | | Positive | 0.76 | 1.0 | 0.61 | 1.27 |
| 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 | 0.96 | 0.5 | 0.55 | 1.15 |
| 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 | Positive | 0.95 | 1.0 | 0.55 | 1.15 |
| fCKQimXqEeSuUyIAC0mIhA | Content is good. I found the information in the videos valuable, albeit short and leaving me wanting more. I suppose that's what research is for. In general great and short course to get one on track with research methods.Take this course, as it is good. So why three stars? I know it is a long review, and feel free to remove it from the list, if you deem it appropriate. I have learned a lot in the course, and it is a valuable experience still. My problem lies with the design of the course, that seems to have started with great vigour at then lost the steam at the end. I would like to suggest few pointers. Especially since the presenters have another courses in the catalogue with similar issues. 1. Help learners to focus - Body language, and position in the room. Standing in front of windows with the traffic outside may seem a minor thing, but it detracts form you and the content. As a course designer it is a responsibility to set it right. Same applies for hands in back pockets, posture when sat down, lens flare etc. 2 - As instructors you have offered very little teaching. All was left to the guest speakers. All very good and knowledgeable. Some graphic and own mini lecture would help to establish you as experts (not that you are not, but we would not know that from the videos), rather than mere interviewers. (Summary of what was said). 3 - match the video and e-tivity focus. And think about the accessibility of the material to your learners, especially if no previous knowledge is required. Week three was about managing research and planning. The reading, was surprisingly different (week 4 activity would be more suitable here) and really hard to access to someone, who hasn't done much reading in theories of knowledge etc. This would be more accessible as a guided lecture and quiz, rather than 400 words response. I hope I was not offensive to anyone. I was trying to help you to help us learn better, if that makes sense. M | get one on track with research | Method | Take this course, as it is | Positive | 0.75 | 0.0 | 0.55 | 1.15 |
| fCKQimXqEeSuUyIAC0mIhA | Good on line course work in research methodology | on line course work in research | Method | | Positive | 0.77 | 1.0 | 0.55 | 1.15 |
| 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 | -0.99 | 1.0 | 0.55 | 1.15 |
| 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 | 0.98 | 1.0 | 0.55 | 1.15 |
| fCKQimXqEeSuUyIAC0mIhA | This course is really helpful in understanding research methods as well as adding up a lot of information | is really helpful in understanding research | Method | as well as adding up a | Positive | 0.97 | 1.0 | 0.55 | 1.15 |
| 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, | Positive | 0.68 | -0.5 | 0.55 | 1.15 |
| fCKQimXqEeSuUyIAC0mIhA | This is an excellent course to understand research methods. | an excellent course to understand research | Method | | Positive | 0.96 | 1.0 | 0.55 | 1.15 |
| 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 | 0.74 | 1.0 | 0.55 | 1.15 |
| 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 | 0.63 | 0.5 | 0.55 | 1.15 |
| fCKQimXqEeSuUyIAC0mIhA | It's great to understand more of research methods in application, but I wish there were more resources provided to supplement our study. In general, this is a good course for those who start thinking of doing research in the future | great to understand more of research | Method | in application, but I wish there | Positive | 0.97 | 0.0 | 0.55 | 1.15 |
| 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 | 0.55 | 1.15 |
| 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 | 0.92 | 0.5 | 0.55 | 1.15 |
| 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 | -0.66 | 0.5 | 0.85 | 1.06 |
| 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 | 0.97 | 1.0 | 0.85 | 1.06 |
| 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 | 0.93 | 1.0 | 0.36 | 1.29 |
| 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 | 0.98 | 1.0 | 0.36 | 1.29 |
| 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 | 0.97 | 1.0 | 0.36 | 1.29 |
| 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 | 0.94 | 1.0 | 0.36 | 1.29 |
| 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 | 0.96 | 1.0 | 0.36 | 1.29 |
| 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 | 0.81 | 1.0 | 0.36 | 1.29 |
| 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 | 0.66 | 1.0 | 0.36 | 1.29 |
| 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 | 0.85 | 1.0 | 0.36 | 1.29 |
| 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 | 1.0 | 1.0 | 0.36 | 1.29 |
| 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 | 0.99 | 1.0 | 0.36 | 1.29 |
| 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 | 0.86 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | good course, has many useful information and methods | course, has many useful information and | Method | | Positive | 0.87 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This course was a great introduction to machine learning (ML). Besides the ML concepts and methods, the course explained the necessary mathematical and statistical concepts in a clear and simple manner. I believe people who have not done much maths or stats should be able to follow the materials. ML concepts were explained in a clear fashion with relevant examples and a good level of depth. The weekly programming exercises require the student put aside at least 2 hours but they are interesting and not impossibly challenging. | (ML). Besides the ML concepts and | Method | the course explained the necessary mathematical | Negative | -0.83 | 1.0 | 0.36 | 1.29 |
| 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 | 1.0 | 0.5 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | One of the best classes I have taken so far. Andrew NG provides excellent intuition for the algorithms he covers. Machine learning techniques like decision trees and ensemble methods which are not covered here. I would also like to recommend that - it's not a beginner's course. Previous experience in linear algebra and programming experience is required, otherwise you'll get stuck. So prepare well and must do this course. Huge recommendation! | techniques like decision trees and ensemble | Method | which are not covered here. I | Positive | 0.73 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Perfect courses! By this course, I have learnt many things about Machine Learning. True, it is so wonderful that Andrew Ng could take many abstract concepts into some straightforward things, thanks a lots! I can guarantee that if you could insist on completing this course totally, you would find you've mastered many useful knowledge. Of course, knowledge is endless, if you're really interested in this field, then go for it by as many methods as possible you can find, and don't restrict yourself to this course. | go for it by as many | Method | as possible you can find, and | Negative | -0.74 | 1.0 | 0.36 | 1.29 |
| 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 | 0.95 | 1.0 | 0.36 | 1.29 |
| 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 | 0.64 | 1.0 | 0.36 | 1.29 |
| 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 | 0.94 | 1.0 | 0.36 | 1.29 |
| 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 | 0.84 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent course, it's easy to follow and help u understand the essence of various algorithms and methods! | the essence of various algorithms and | Method | | Positive | 1.0 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | A very great course which gives me the fundamental methodology of machine learning and some hand-on experience with some of the most popular learning algorithms. I would review this course to everybody if they start learning machine learning. | course which gives me the fundamental | Method | of machine learning and some hand-on | Positive | 0.66 | 1.0 | 0.36 | 1.29 |
| 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 | 0.83 | 1.0 | 0.36 | 1.29 |
| 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 | 0.97 | 1.0 | 0.36 | 1.29 |
| 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 | 0.99 | 1.0 | 0.36 | 1.29 |
| 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 | 0.89 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | A great introduction to the field of Machine Learning to novices. The step by step method to explain this complex field in simple terms is really helpful. I would really recommend this as the first course in Machine learning for somebody interested in forming a strong foundation. Good mix of theory and practice. Thanks Andrew Ng for sharing his knowledge. Looking forward to more courses from him in future. | to novices. The step by step | Method | to explain this complex field in | Positive | 0.66 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This course is quite basic in that it offers intuition and insights of ml methods in a less math-heavy fashion. It would be nice if more material/additional optional reading is offered for someone interested in the proof of some key points. | offers intuition and insights of ml | Method | in a less math-heavy fashion. It | Positive | 0.67 | 0.5 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Andrew is a great teacher and his teaching method is excellent. | a great teacher and his teaching | Method | is excellent. | Positive | 1.0 | 1.0 | 0.36 | 1.29 |
| 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 | 0.9 | 1.0 | 0.36 | 1.29 |
| 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 | -0.76 | 0.5 | 0.36 | 1.29 |
| 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 | 0.69 | 1.0 | 0.36 | 1.29 |
| 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 | 0.8 | 1.0 | 0.36 | 1.29 |
| 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! | their way into my projects. These | Method | are applicable to almost any quantitative | Positive | 0.63 | 1.0 | 0.36 | 1.29 |
| 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 | -0.82 | 1.0 | 0.36 | 1.29 |
| 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 | 0.95 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Really helpful, explanatory and teaching class! I'm learning a lot of practical methods which can be applied on many systems. The level of classes are enough for many people from different backgrounds. Thanks to all contributors especially to Andrew Ng! :) | I'm learning a lot of practical | Method | which can be applied on many | Positive | 0.75 | 1.0 | 0.36 | 1.29 |
| 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 | 0.97 | 1.0 | 0.36 | 1.29 |
| 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 | 0.99 | 1.0 | 0.36 | 1.29 |
| 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 | 0.76 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | Excellent methodology, very adaptable and efficient. | Excellent | Method | very adaptable and efficient. | Positive | 0.94 | 1.0 | 0.36 | 1.29 |
| 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 | 1.0 | 1.0 | 0.36 | 1.29 |
| 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 | Positive | 0.86 | 1.0 | 0.36 | 1.29 |
| 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 | 0.67 | 1.0 | 0.36 | 1.29 |
| 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 | 0.9 | 1.0 | 0.36 | 1.29 |
| 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 | 0.99 | 1.0 | 0.36 | 1.29 |
| Gtv4Xb1-EeS-ViIACwYKVQ | This is a survey course in Machine Learning which isn't afraid to get seriously in-depth with the detailed math and coding techniques underlying popular ML topics like logistic regression, neural networks, and SVMs. Andrew Ng also spends considerable time on applications and methods for determining if your learner is robust. It is a very challenging course, both conceptually and with the assignments. The assignments are very difficult and will require considerable time and effort. Previous experience with Matlab/Octave is helpful. In terms of math, I think at least one course in Linear Algebra should be prerequisite as the use of vector and matrix operations abound in this class. A good understanding of the programming concept of vectorization is also very helpful...if you don't already understand it...you will after you get through this course. A special thanks to Tom Mosher, one of the class mentors....his help and advice was very helpful in completing the course. | spends considerable time on applications and | Method | for determining if your learner is | Negative | -0.8 | 0.5 | 0.36 | 1.29 |
| 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 | 0.75 | 1.0 | 0.36 | 1.29 |
| 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 | 0.94 | 1.0 | 0.36 | 1.29 |
| 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 | Positive | 0.88 | 1.0 | 0.36 | 1.29 |
| 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 | 0.94 | 1.0 | 0.36 | 1.29 |
| 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 | 1.0 | 1.0 | 0.36 | 1.29 |
| 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 | 0.65 | 1.0 | 0.36 | 1.29 |
| 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 | -0.81 | 0.0 | 0.36 | 1.29 |
| 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 | Negative | -0.67 | 1.0 | 0.36 | 1.29 |
| 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 | 0.96 | 1.0 | 0.36 | 1.29 |
| 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 | 0.95 | 1.0 | 0.36 | 1.29 |
| 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 | 0.63 | 1.0 | 0.36 | 1.29 |
| 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 | 0.88 | 1.0 | 0.36 | 1.29 |
| 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 | 1.0 | 1.0 | 0.36 | 1.29 |
| 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 | 0.64 | 1.0 | 0.36 | 1.29 |
| 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. | Positive | 0.77 | 1.0 | 0.36 | 1.29 |
| 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 | 0.85 | 1.0 | 0.36 | 1.29 |
| 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 | 0.73 | 0.0 | 0.71 | 0.96 |
| HITLfhnoEeWjrA6seF25aw | Exceptional teaching method!!!Looking forward for great courses like these!! | Exceptional teaching | Method | ! ! Looking forward for great | Positive | 0.81 | 1.0 | 0.71 | 0.96 |
| 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 | -0.82 | 0.5 | 0.71 | 0.96 |
| 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 | 0.74 | 0.5 | 0.71 | 0.96 |
| 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 | 0.97 | 0.0 | 0.74 | 1.28 |
| 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 | Positive | 0.98 | 1.0 | 0.74 | 1.28 |
| 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 | -0.68 | -1.0 | 0.74 | 1.28 |
| 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 | 0.98 | 1.0 | 0.74 | 1.28 |
| 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 | 0.96 | 1.0 | 0.74 | 1.28 |
| 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 | 0.81 | 1.0 | 0.74 | 1.28 |
| 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 | 0.93 | 1.0 | 0.74 | 1.28 |
| hwiBZm0vEeWbyw5d8C-Blw | Really nicely explained, learned so many useful methods for data analysis in R. The dimensionr reduction and principal component analyses walkthroughs were a little tricky for a newbie in those areas though. | nicely explained, learned so many useful | Method | for data analysis in R. The | Positive | 0.67 | 1.0 | 0.97 | 1.15 |
| hwiBZm0vEeWbyw5d8C-Blw | some swirl tests (4,5) don't work because of parameter method in qplot function. This parameter is not realy existed in this function now | 5) don't work because of parameter | Method | in qplot function. This parameter is | Negative | -0.88 | -0.5 | 0.97 | 1.15 |
| hwiBZm0vEeWbyw5d8C-Blw | A worthwhile course that breaks down methods for doing initial data analysis to get a rough feel of the data. It provides enough useful information about the 3 plotting systems in R and how they differ to allow the student to do sufficient exploration on his or her own. | A worthwhile course that breaks down | Method | for doing initial data analysis to | Positive | 0.74 | 1.0 | 0.97 | 1.15 |
| 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 | -0.66 | 0.0 | 0.72 | 0.88 |
| 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 | 0.74 | 1.0 | 0.72 | 0.88 |
| 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 | 0.66 | 0.5 | 0.72 | 0.88 |
| 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 | Positive | 0.75 | 0.5 | 0.72 | 0.88 |
| 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 | 0.82 | 0.0 | 0.72 | 0.88 |
| iSxVEG07EeW3YxLB1q9I2w | Good introductory course. Learnt a more structured approach to categorising statistical methods. Much of the rest of the content was a bit basic, though probably useful to fill in any knowledge gaps pre-course. | more structured approach to categorising statistical | Method | Much of the rest of the | Negative | -0.7 | 0.5 | 0.72 | 0.88 |
| 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. | Negative | -0.83 | -0.5 | 0.7 | 0.83 |
| 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 | Positive | 0.77 | 0.0 | 0.7 | 0.83 |
| 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.. | with a previous knowledge of numerical | Method | you can go through it, but | Negative | -0.79 | 0.0 | 0.7 | 0.83 |
| 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 | -0.7 | 0.5 | 0.7 | 0.83 |
| 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 | -0.86 | -0.5 | 1.19 | 1.2 |
| LgWwihnoEeWDtQoum3sFeQ | Teaching method is great ! | Teaching | Method | is great ! | Positive | 0.89 | 1.0 | 1.19 | 1.2 |
| LgWwihnoEeWDtQoum3sFeQ | A good course, the methods and pace was not good enough. I wonder if those new to these topics learnt anything | A good course, the | Method | and pace was not good enough. | Negative | -0.99 | -0.5 | 1.19 | 1.2 |
| 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 | 0.94 | 1.0 | 1.19 | 1.2 |
| MdNTKtdhEeSgyyIAC4cL9g | This course has introduced me to different and useful methods of solving problems that I am excited to try applying on different issues. Thank you for providing it. | introduced me to different and useful | Method | of solving problems that I am | Positive | 0.73 | 0.5 | 0.69 | 0.94 |
| MdNTKtdhEeSgyyIAC4cL9g | This course contains interesting points about group decision methods and change management. I think it could be deeper, but I liked it overall. | contains interesting points about group decision | Method | and change management. I think it | Positive | 0.8 | 0.5 | 0.69 | 0.94 |
| MdNTKtdhEeSgyyIAC4cL9g | This is an excellent course. It covers how data helps in taking decisions. It also talks about group decision making and gives the pros and cons of each of the methods and finally it explains how to manage change in an organization. All in all a great course. | and cons of each of the | Method | and finally it explains how to | Positive | 0.96 | 0.5 | 0.69 | 0.94 |
| MdNTKtdhEeSgyyIAC4cL9g | Doesn't go much further then common sense. Introduces terms for concepts you probably know, just didn't know it's a concept. The lecturer is terrible. His stories, or i guess metaphors that are supposed to help you understand and remember things are aweful. He takes way too long to get the point across. Some helpful things are mentioned. Gives you the ability to distiguish problem solving methods, so you may use them as required. Nonetheless, mostly wasted my time watching this. | the ability to distiguish problem solving | Method | so you may use them as | Negative | -0.72 | -0.5 | 0.69 | 0.94 |
| 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 | 0.7 | 1.0 | 0.87 | 1.2 |
| 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. | Positive | 0.67 | 1.0 | 0.87 | 1.2 |
| 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 | 0.96 | 1.0 | 0.87 | 1.2 |
| mxdq5kIJEeWC4g7VhG4bTQ | gets way too in-depth with the math behind regression, to the point that it deters from the learning process. was hoping to learn better methods of interpreting or enacting regression, not the inner workings of the algorithms. assignments got overly complex with confusing instructions. there are definitely some leaps made in the assumptions of what students' python capabilities are. vague instructions caused more frustration than desire to continue learning. will continue in the specialization, but will not hesitate to drop out if instruction continues like this. very disappointed. | process. was hoping to learn better | Method | of interpreting or enacting regression, not | Negative | -1.0 | -1.0 | 0.87 | 1.2 |
| 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 | -0.66 | 0.5 | 0.87 | 1.2 |
| 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 | -0.73 | 0.5 | 0.87 | 1.2 |
| 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 | 0.99 | 1.0 | 0.87 | 1.2 |
| mxdq5kIJEeWC4g7VhG4bTQ | I found this an excellent introduction to the topic with a good mix of well presented material and practical application using the IPython notebooks. I would love to have the course finish with a project where we apply the learned methods to a different data set. | project where we apply the learned | Method | to a different data set. | Positive | 0.76 | 1.0 | 0.87 | 1.2 |
| 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 | 0.76 | 1.0 | 0.87 | 1.2 |
| 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 | -0.71 | 0.0 | 0.9 | 1.05 |
| 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 | 0.63 | 1.0 | 0.9 | 1.05 |
| NFiJtRnpEeW9dA4X94-nLQ | Excellent teachers and their teaching methods. | Excellent teachers and their teaching | Method | | Positive | 0.89 | 1.0 | 0.9 | 1.05 |
| 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 | -0.94 | 0.5 | 0.9 | 1.05 |
| nQ5d7TbQEeWW9BKhJ4xW0Q | I loved this instructor! She is very knowledgeable and articulates the terms and methods well. | knowledgeable and articulates the terms and | Method | well. | Negative | -0.66 | 1.0 | 0.66 | 1.23 |
| nQ5d7TbQEeWW9BKhJ4xW0Q | When I started this course, my only experience with HTML was <b> bold</b>, <i> italic</i>, and <u>underline</u>. After this course I have a much clearer understanding of what HTML is, and how it works, and I am able to now use it to a much greater extent than I was before. The professor did an excellent job of explaining most things, but I did find that on occasion I had to stop the video and go back several times to understand what she'd said or to take notes, despite having slowed the video down as much as possible. (In my opinion, one should be able to slow the video down more than is currently possible, especially for those for whom English is not their native tongue.) With me, it wasn't that I didn't understand what she said so much as I didn't have time to take in what she meant before she'd gone on to something else. I understand that Coursera is able to do what it does because of its method, which is basically independent study; one watches the videos, and reads whatever resources are listed, and goes on from there. If there is a question, it is not the professor in the videos that the question is asked of, but people hired as "teaching aides". These are the people (other than fellow students) who answer your questions, and they do not always answer in a 'timely' fashion. While this method works well for some people, I am quite sure there are others unable to learn with this method, especially if the subject turns out to be a more complicated, intensive one. Some people need to have a little more than just videos which they can only repeat over and over with the same information, hoping to learn something new from it. The only other thing I have a problem with is the lack of oversight/security. There's no way of knowing if the person who 'earns' a certificate is the person they claim to be, or if they earned the scores given. All in all, I think Coursera is a great tool, and well worth the low prices charged; I am sure there are plenty of courses still remaining (after the 'purge') that I would love to take. | in a 'timely' fashion. While this | Method | works well for some people, I | Positive | 0.96 | 0.5 | 0.66 | 1.23 |
| nQ5d7TbQEeWW9BKhJ4xW0Q | Video Lectures are good. Quiz taking method is Great. Liked. Thanks for the course. | Video Lectures are good. Quiz taking | Method | is Great. Liked. Thanks for the | Positive | 0.94 | 1.0 | 0.66 | 1.23 |
| nQ5d7TbQEeWW9BKhJ4xW0Q | Excellent teacher and method. Really enjoy it! Thank you very much. | Excellent teacher and | Method | Really enjoy it! Thank you very | Positive | 0.98 | 1.0 | 0.66 | 1.23 |
| 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 | -0.82 | 1.0 | 0.68 | 1.28 |
| OmgIw0C2EeWZtA4u62x6lQ | I found this to be an excellent course for not only developing my knowledge of qualitative research methods, but also expanding it. Having done a previous course in University I was surprised at the amount of new information this course had. The peer reviews felt fair and were always informative, I have never been exposed to such global critique! | developing my knowledge of qualitative research | Method | but also expanding it. Having done | Positive | 0.75 | 1.0 | 0.68 | 1.28 |
| 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 | 0.99 | 1.0 | 0.68 | 1.28 |
| 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 | 0.98 | 1.0 | 0.68 | 1.28 |
| 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 | Positive | 0.65 | 1.0 | 0.68 | 1.28 |
| 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 | -0.85 | 1.0 | 0.68 | 1.28 |
| 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 | Positive | 0.86 | 1.0 | 0.68 | 1.28 |
| 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 | 0.97 | 1.0 | 0.73 | 0.97 |
| 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 | 0.93 | 0.5 | 0.73 | 0.97 |
| 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 | -0.65 | 0.0 | 0.73 | 0.97 |
| 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 | 0.81 | 0.0 | 0.73 | 0.97 |
| 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 | -0.89 | 0.5 | 0.94 | 1.02 |
| 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 | 0.99 | 0.5 | 0.94 | 1.02 |
| 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 | -0.68 | 1.0 | 0.56 | 1.21 |
| 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 | 0.96 | 1.0 | 0.56 | 1.21 |
| 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 | 0.97 | 1.0 | 0.56 | 1.21 |
| 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 | 0.8 | 1.0 | 0.56 | 1.21 |
| rTTFFgb8EeWJMSIAC7Jl0w | Excellent organisation of the course! The content is also well thought and presented. i personally clarified many vague questions related to variables, measurements and research ethics. I did have the quantitative methods course at the university, in any case some blank spots were left, so this course was helpful. It is a useful course for revising, but I do not know how total beginners feel about it. If I were a beginner I would have some difficulties probably. It could relate to my personal "slowness" to grasp material like this. Thank you Annemarie! I really like your lecturing/teaching style. | ethics. I did have the quantitative | Method | course at the university, in any | Positive | 0.73 | 1.0 | 0.56 | 1.21 |
| 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 | 0.9 | 0.5 | 0.56 | 1.21 |
| 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 | -0.8 | 0.5 | 0.56 | 1.21 |
| 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 | 0.86 | 0.5 | 0.56 | 1.21 |
| 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 | 0.99 | 0.5 | 0.56 | 1.21 |
| rTTFFgb8EeWJMSIAC7Jl0w | I really enjoyed this course overall (and it was somewhat easy for me because I have some background in this already), but there were some technical issues especially regarding accessing assignments. It would be nice if there was a more robust group of volunteer tutors/teaching assistants or something to answer questions or deal with these technical issues, especially the final exam not working for a while for me and some other people. But, I enjoyed the illustrations (drawings) and cute examples, and also the lecturer did a pretty good job on camera. I would probably give this course a 4.5 if possible, but I am hesitant to give it a full 5 points because of the technical issues. Anyway I would recommend the course to someone who wants a survey of quantitative methods to prepare for future study. | who wants a survey of quantitative | Method | to prepare for future study. | Positive | 0.68 | 0.5 | 0.56 | 1.21 |
| rTTFFgb8EeWJMSIAC7Jl0w | Excellent introduction to quantitative Methods! | Excellent introduction to quantitative | Method | | Positive | 0.91 | 1.0 | 0.56 | 1.21 |
| 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 | 1.0 | 1.0 | 0.56 | 1.21 |
| rTTFFgb8EeWJMSIAC7Jl0w | Clear and great methodology! | Clear and great | Method | | Positive | 0.88 | 1.0 | 0.56 | 1.21 |
| 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 | 1.0 | 1.0 | 0.56 | 1.21 |
| rTTFFgb8EeWJMSIAC7Jl0w | Excellent explanation and assessment methods. Dr Scholten is simply great. | Excellent explanation and assessment | Method | Dr Scholten is simply great. | Positive | 0.73 | 1.0 | 0.56 | 1.21 |
| 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. | the context of a formal Research | Method | course. When covering these sections, you | Positive | 0.83 | 1.0 | 0.56 | 1.21 |
| 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 | 0.87 | 1.0 | 0.56 | 1.21 |
| 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 | 1.0 | 1.0 | 0.56 | 1.21 |
| 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 | -0.65 | 1.0 | 0.56 | 1.21 |
| 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 | -0.81 | 1.0 | 0.56 | 1.21 |
| 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 | 0.79 | 0.5 | 0.56 | 1.21 |
| 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 | 0.76 | 1.0 | 0.76 | 1.07 |
| 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. | Negative | -0.72 | 1.0 | 0.76 | 1.07 |
| v0l76HmGEeSi3yIACzSGcw | Excellent material and methods, i found the course extremely useful and practical | Excellent material and | Method | i found the course extremely useful | Positive | 0.78 | 0.5 | 0.76 | 1.07 |
| v0l76HmGEeSi3yIACzSGcw | In progress actually, but I already approve the methods ! | actually, but I already approve the | Method | ! | Negative | -0.65 | 1.0 | 0.76 | 1.07 |
| ycQnChn3EeWDtQoum3sFeQ | Course content is good, however instructions for the assignments are not complete. Often, instructions for the assignments that are required in the grading criteria are buried in the discussion forums, sometimes in multiple threads. And the method of grading is also only explained in the discussion forum. This can lead to the peer review grades being difficult to assign. The assignment pages should be updated to properly include ALL requirements and an explanation of how to grade the assignment. | sometimes in multiple threads. And the | Method | of grading is also only explained | Positive | 0.65 | 0.0 | 0.62 | 1.17 |
| ycQnChn3EeWDtQoum3sFeQ | Very nice method to teach the basics of bootstrap frameworks. I recommend this course! | Very nice | Method | to teach the basics of bootstrap | Positive | 0.79 | 1.0 | 0.62 | 1.17 |
| ycQnChn3EeWDtQoum3sFeQ | A very good course. If you want to learn about Front-End Web UI Frameworks and Tools then this is the best source for you. The instructor is so awesome and his teaching methods are very comprehensive. | is so awesome and his teaching | Method | are very comprehensive. | Positive | 0.99 | 1.0 | 0.62 | 1.17 |
| ycQnChn3EeWDtQoum3sFeQ | awsome guide covering various tools and methods for developing a modern website. | awsome guide covering various tools and | Method | for developing a modern website. | Positive | 0.71 | 1.0 | 0.62 | 1.17 |
| ycQnChn3EeWDtQoum3sFeQ | Thank you professor Jogesh K Muppala. This is one of the best courses in the UI domain and any one interested must attend. The best part was the hands on teaching methodology and added to this the spice up was "What mistake I made" - learn and correct by validating other participants work... I enjoyed it..... :) Apologies for always been the late latif in submissions... | part was the hands on teaching | Method | and added to this the spice | Negative | -0.97 | 1.0 | 0.62 | 1.17 |
| ycQnChn3EeWDtQoum3sFeQ | Teacher is very smart and he use a really nice methodology | and he use a really nice | Method | | Positive | 0.63 | 1.0 | 0.62 | 1.17 |
| 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 | 0.66 | 1.0 | 1.18 | 1.19 |
| YfjiOHROEeWLqw7zlLhRzQ | Poor concepts exposition with a bad teaching method. | concepts exposition with a bad teaching | Method | | Negative | -0.99 | -0.5 | 1.18 | 1.19 |
| 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 | 0.84 | -1.0 | 1.18 | 1.19 |
| ypgDPuPQEeSyBSIAC9REKg | Great methods for learning the basics of jazz improv! | Great | Method | for learning the basics of jazz | Positive | 0.69 | 1.0 | 0.5 | 1.21 |
| 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 | 0.71 | 1.0 | 0.5 | 1.21 |
| 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 | -0.83 | 1.0 | 0.5 | 1.21 |
| 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 | 0.76 | 1.0 | 0.5 | 1.21 |
| ypgDPuPQEeSyBSIAC9REKg | Great approach to improvisation, great method for on line lessons | Great approach to improvisation, great | Method | for on line lessons | Positive | 0.79 | 1.0 | 0.5 | 1.21 |
| __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 | 1.0 | 1.0 | 1.02 | 1.08 |
| __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 | -0.77 | 0.0 | 1.02 | 1.08 |