Ratings and Reviews for Introduction to Data Science in Python

Good for beginners in pandas and numpy

Good course to get started with data science, if one have basic coding skills and analytical skills.

Challenging, good overview, I wish there was more drilling in series/dataframes basics before diving into apply to datascience problems.

Amazing Course and I have learnt a lot, I wanted to do Data Science Specilization. Thank you so much

Quite a tough work

I dropped this course. The complexity of the assignments is absurd and the autograder does not give much information about what is supposed to be wrong. Many people have problems with the assigments because the forum is packed with posts about all sorts of difficulties. I managed to complete all the assignments but the last one. In the last one I wasted so much time that I came to realize that there was not point in wasting any more time with this assignment and this course. If the remaining of the specialization is like this, it is going to be a nightmare. I will choose another data analysis course in Coursera, sinze there are a few available.

I had to look up additional information for Assignment 4 and, to my surprise, came across a completed version. The autograder did not appear to work appropriately for Assignment 4 and, after trying for hours and not understanding why the autograder did not recognize the type(...) of my answer, I ended up copy-pasting someone else's response to Assignment 4, Question 1) to achieve the 80% threshold; this ultimately allowed me complete the assignment. I apologize deeply for this, but I still have no idea why the autograder was not recognizing the type of my submission (i.e., np.float). Regardless,

Very good

It is very difficult for novice. It should be reconstructed for first-comer to explain more contents in text book

This is a great course, loved the assignments. Assignment 3 is not a 3 hour work at all, it's quite time consuming. Please review the recommended time for this Assignment, 3 hours is very misleading. A huge thanks to Yusuf Ertas and Jimmy Kumar Ahalpara for prompt reply to all my questions. Especially Yusuf Ertas