Ratings and Reviews for Introduction to Data Science in Python

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)

Amazing Training on Python Data Science, doing the course assignment its like read the book Python for data analysis. I believe this course is not trivial and is not intermediate level, is an advanced level, Is a real challenge. Definitively i recommend it.

A great intro to pandas. Challenging even for those with experience using the library. There were some struggles with the autogravder, but they were being worked out, and the integration of the Jupyter notebook system directly into the class is fantastic.

Great Course!

lots of practice, enjoyable.