It is a good course but more knowledge are expected to be filled, e.g, some algorithm can be detailed or illustrated with simple-case instantiation.

Large variety of algorithm presented. Good study material recommendations. Fun assignments.

Excellent course that summarizes a very broad and complex topic. Definitely recommend.

Good course. The explanation for the optional programming assignment is very poor.

The course exercises are medium-hard. But the topic coverage is spot on.

OK course, some lectures with too much breadth at the cost of depth

Should be more support in the forum for quiz and assignement

Too much material. Not enough real examples.

I don't really like the Programming Assignment of this course.

I have took over one month to figure it out, and the feedback system don't even provide me any help. The day that I have registered for this course, the coding is still new to me although I have got the training like 1 year thanks to Andrew Ng. And I could only used MATLAB/Octave or Python to solve the quiz. I have tried to use MATLAB to finished this course, but I failed many times. Finally, I have decided to use Python to solve this PA, and the algorithm is still hard for me to complete, so I used the python tool that with the algorithm in it and fix a little.

I believe that this course is a really good course, and Jiawei Han is a real kind person. BUT even for some other courses, we got a startup(like Andrew Ng's Machine Learning Course and Koller's PGM).

However, besides the PA, the rest of the course is really worth taking. I read the books for times and figured out that it indeed help! Though, it is hard for a new student. You should have to dive deep into the course which you should read more about this subject. Jiawei Han's work is only a startup.

Thank you very much.

Course content too dense with many lectures serve as mere summary of advanced papers with little explanantion of technical terms. Too much mention of advanced topics with not enough coverage and depth for each topic

There are not many examples of the algorithm/of a case that can be solved using an algorithm. Little math is involved

Course should be longer (6 weeks) with longer lectures with more examples and exercises

This makes the content quick to be forgotten.

Solid introduction with a lot of references.

Lot of topics are not deep enough discussed and a lot of additional reading is necessary in order to get a lot out of the course. Furthermore, the presentation style and the (language) understandability of the lecturer are not very good. Too few exercise questions. Would still recommend it as introduction course and for the high number of good paper references.

Briefly described a lot of stuff that could have been explained more visually and demonstrated with step-by-step examples more often. This might be expected for a 4-week course, but it would have been nice to extend it instead of trying to fit it into a compressed time frame. The required programming assignment could have been clearer about how the work should be structured and submitted.

A good overview of data mining. The course turned out to be quite casual, with many quizzes requiring only knowledge of some definitions which disappeared from my short-lived memory in no time. I suppose it is based on a much more detailed and challenging one taught at the University of Illinois. On the other hand, programming assignments were fun.

I would prefer to see this class split into two. I felt topics did not receive enough time to truly learn them. I would also like to see a more advanced course that required programming assignments.

Way too hard to find out whta the teacher was talking abut, had to make too much research on texts. Specially about CP-Miner. For the rest, great!

One star less because of errors in the quiz questions which is not acceptable when it is mandatory to pass

very time consuming

Really disappointing. The slides contain a lot of paper references that seem to be of high quality (that's the reason I'm giving it 2 stars and not just 1)... but the course itself is bad: it covers many algorithms, but so superficially that you learn nothing; and there are not enough programming assignments to really allow you to get any intuition on the concepts.

I would love to see this be turned into a 5-course, 30-week specialization in itself (and the professor sure looks like he has the knowledge to fill these 30 weeks)... but as a single course over 4 weeks, it's not good.

The explanations are not clear. The course is very theoretical, there's just one obligatory programming task. It's one of the worst courses I have ever enrolled in.

Very poor.

No programming assignment. No more users in forum. Lessons are just a list of algorithm without a detailed explanation.

The qualities of the assignments are quite low.

A list of research papers to read further that's it. The course is too short to cover the subject so it covers nothing in the end.

The programming assignment have no help, whatsoever it's "do it" any language. The 2 programming assignment doesn't have much to do with the course. We don't even talk about the algo to use to do it. It looks like coursera has asked the professor to add a programming assignment to the course and he had 3 minutes to choose what it could be.

It shouldn't be advertised in coursera as it is.

Ah, forgot to mention that no one replies to the forums,actually no one uses them.

I think the subject is very interesting but this course gives a really bad advertising to Coursera, the university and the professor.

It needs more work before it's deployed on the platform.

I am going to try another Coursera course in the same kind of subject I hope it won't be the same.

so hard to understand his english. only reading from slides not really explaining a lot or giving intuitions. Not happy with this course.

It's really hard to understand the explanations of the teacher. I gave up after the first week.

too theoretical without enough practical quiz and assignment