Ratings and Reviews for Introduction to Data Science in Python

The course was challenging, and although I would have liked a bit more information from the video lectures, and a bit more practice on using the basic functions, I learned a lot. I thought the video lectures were a little sparse. There were only 20-30 minutes worth of video lectures per week and the assignments required you to stretch the knowledge that you gained from the lecture videos quite a bit. More examples in video lectures would have helped. I would have also liked to see a few simple problems in each assignments just to get comfortable using the various functions introduced in the lecture. So overall, the course was challenging and definitely a fair amount of work coming from someone new to python (but moderately experienced in C programming), and although I would have liked a bit more guidance, I learned a lot.

Pace of lectures is rather fast and doesn't fit to homework level (which is much harder). But overall course is OK

A good introduction to python and data science. The questions were just about the right level of difficulty. My main criticism is that the online videos were pretty short and not going into a lot of detail, whereas with the questions you had to do a lot of extra research to figure out how to solve them. More interaction with the enrolled students during the course and having more in-depth videos would make the course a lot better.

Very nice!

Total disaster. I payed 315euro for this course. Course started on 24/10/2016. I faced with technical difficulties till this weekend. I reported this problem already many times.. Finally this weekend the Jupiter notebook worked and I started the first assignment. I spent many hours but still couldn't get solve the assignment. I read discussions, write post.. Searched on Google.. Read lots of document. I still couldn't get what the correct answer is the assignment wants. I realized that it is impossible to pass this exam. In the lectures they don't mention anything which will help you to solve this time consuming assignment by the way.. After having this terrible course experience this weekend, today (14/11/2016) I decided to apply for refund. But guess what I says 14 days have passed so I cannot get refund!!!! Now I payyed 315 euro for nothing but disappointment!!!!

good intro to pandas and some numpy. students need to deep dive into each subject to become proficient

Good course materials and the assignment itself is pretty good, but the grader is buggy, not informative and wasted a lot of my time.

The course is very interesting. The Jupiter notebook is very useful. I don't like that many examples are very US-specific. Some important terms may not be clear for people who live outside USA. Update: I'm lowering my grade from 4 stars to 3 stars because of very confusing assignments. Often it's not clear the requirement of the task. It takes very long to understand. Also some assignments require methods and functions that were not covered in video lectures.

Great course.

besides the major technical issues and lack of information before the postponed start of the course and minor technical issues, the way of teaching is well adapted to on-site classes where you can sit in study groups solving the problems together; the given examples have partly little relevance and do not help to solve the assignments and according to the staff the best way to solve assignments is by using google (or stackoverflow or whatever) - really?! somehow it seems they just took an on-site course, played with some fancy technical solutions and call it now a MOOC... they seem not really aware of the fact that on-site teaching and MOOCs require completely different types of pedagogic methods amazing how the same university can offer both the best MOOC (Dr. Chuck's) and one of the worst (this one)