Don't mind the negative reviews. Most issues are years old and have been fixed. Didn't face a single issue. The course Does require an additional tool to complete assignment which is only free for 15 days. Also the accent of the professor is hard to understand.

Very good course for understanding Regression, classification. Other advance predictive models like trees, random forest, neural networks are covered fast. Could have been little more lengthy sessions.

instructor is very fast in explaining concepts.

The instructor's tone was difficult to Interpret. It was not fluent and pronunciations were uneasy. Overall content was excellent, though there must have been examples after terms explanation rather than one complete video at end

The course is a great course.

The only difficulity I had was in the last assessment where we had to use XLMiner. I was not able to use it properly as I had difficulity loading it on my computer because of the Windows version.

it is really a good course which helps me to understand the basic knowledge of data mining in which I learned about logistic and linear regression and also about boosting, bagging, and random forest.

Professor is a little tough to understand, so I had to read the transcript during some of the videos. However, once I got the XLMiner issues resolved, it continued to be a great class and experience.

Really like the course and learned a lot. Wish that the quizzes didn't offer as much guidance on the steps to use XL Miner. Because this is given, it's not fully testing students on the material

A good introduction to various techniques of predictive modeling. To better understand, further study on the topics is necessary.

some items were unclear, the definitions, the explanation, the examples were necessary. however, I could google to get those.

Although the material presented in the course was very useful, it was hard to keep up with the instructer.

Great Information and good lecture! Thanks!

The Case Assignments are pretty useful

great topics and very well explained.

very well explained

Tricky to Pass

The course although presents great topics, it needs improvement to support students with questions about exams and assignments. I'm not gonna sugar code this review, it took me hours and hours of dedication to pass the quizzes and assignments, and did not get much help from the professors, one of the instructors has poor English skills and is very hard to understand his lectures. However, this course presents you a challenge to better yourself, believe me, if you spend the time, read the questions that other students post in the discussion forum, and follow the guidelines from the videos, you'll pass. I struggled at the end but ended up getting 97% in my final grade. One advice, keep track of the correct and wrong answers you get from the quizzes, many questions repeat themselves, take notes from the videos or ppt, is not enough just watch, be an active learner and you'll be fine.

It's a challenge to understand the speaker. I was highly dependant on the course transaltion, however, there were gaps in the translation. At few occasions i was stuck at certain points because the translation was not correct. I would like to suggest Coursera that the translation should come from the lecturer/speaker instead of collecting it from the audeiences. The speakers know what they are saying, therefore it's easier to get the notes from them. In this case there were plenty of mistakes in the translation.

Apart from this issue, the course contents were good. I had to finally subscribe to the XLMinor after week 2. The trial version had expired before week 3 assignment could be completed. The XLMinor had given issues during installation and usage. The version that I got is not the same as what they show in the demo videos, but I was able to get through those issues.

Instructor wants the students to learn but the method of presentation and practice doesn't align. The software required uses an outdated software that many users struggle to obtain and install. The lectures do provide some visuals but the amount of information flooded to the student is overwhelming. The quizzes need a improvement, almost all require the use of XLMiner which is complete rubbish. I suggest requiring the students to get familiar with the formulas rather than use a tool which results in a black box scenario for the learners. I do appreciate the time and effort put forth but providing the most current and up to date method of learning is the better option.

There are several concepts that are not easy to understand as they require previous knowledge and during the course the "why" and "what for" of many of them are not explained then I ended doing some automated work but without understanding the purpose and applicability. As the teacher has some difficulties with the English language the translation in English should be very clear but it is not, there are missing words and wrong translations, please Cousera ensure that translations are the best. Thank you.

I think it would be more helpful to fully explain an example of how the techniques you learn help you to solve problems. I think that I learned the basics of the regressions and trees but I wouldn't know what to do after you get the results, maybe the example could include what you do next after you get the results from XL Miner. Professor Dan is a really smart person and you can definitely tell he know what he's teaching, however I think he could be more friendly to the camera and maybe smile more :)

Hi all,

I had problems with the peer review function in week 4. There were no pending reviews at all time. When I check this forum, there were people posting links, waiting for reviews. These assignments where still open for me to check.

Also there are text box questions on some of the quizzes that you need to hit exactly- a little deviation let's you fail! Please chnage this to a format where we can choose between several options.

The owner of this course has to check this.

Best

I really want to mention two thing about this course. The first thing is the content (Algorithms) which are talked in this course are Really usefull and important mostly used algorithms to learn clearly.and another thing is the instruction was so bad in explaining the subject .He is so fast in explaing concepts and math beahind it .Even not only he is fast his native english pronosation is so bad and its really tough to understand.

Decent material, but the presentation quality is difficult to understand due to the Professor's English proficiency. The course also relies on an Excel add-on which has a very short trial period (approx. 2 weeks). It would be nice if this course used non-proprietary tools such as Python to teach predictive modelling, as that would more generally usable going forward.

I found the course content to be good and explanations to be concise but sometimes rushed through. The choice of software to use, however well aimed as it did not require manual programming, it proved a more frustrating experience than actually writing it in Python. I also hardly believe that I would be using Analytic Solver in the future.

A good course overall; however, I expected some further reading recommendations by the lecturer to help develop a deeper understanding of predictive models.

The last peer assignment was boring and too simple relative to the course knowledge level. Plus, one of the tasks was replicated from another one that I previously did.