Ratings and Reviews for Introduction to Data Science in Python

Finding optimal solutions for the assignments would have helped more

Skills acquired when finishing this first course are very useful and applicable. However, lectures and assignments are almost unrelated. This course is nothing for people who are new to python.

The content and the instruction were great: just the right level for someone like me with experience in other programming languages a decent familiarity with stats. There were a few glitches with the auto-grader for the assignments, but nothing to onerous.

I found this course useful since I had no previous experience of Pandas or the statistical features of Python. I have programming experience and feel I would have found it quite a challenge otherwise, but not prohibitively so. Chris is great at explaining things in an accessible manner, and I'm very much looking forward to going into more detail in the rest of the specialisation. I would have enjoyed a little more focus on statistics etc and a little less on the mechanics of the library, but understand why it had to be approached this way.

This is the best ever of all courses I took on MOOC. It was well prepared, Clear, fast paced, informational, challenging, and with appropriate exercises. Sometime I had to pool my hair to get things done and spent a lot of time, but it was fun and worthwhile. I thank Christopher Brooks and the team. I

这门课程还算比较可以的。自学内容适中，主要教你如何用pandas模块。学完这门课程，基本可以达到熟练使用pandas模块。非常有帮助。个人觉得，作业还是有一定的难度，从一个中国人的角度看。

very tough to catch up.

Very nice introduction to pandas for those who already know how to program.

Excellent course. As someone that knows R and is trying to learn Python, I found it to be just what I was looking for.

This would be the best course I have in this platform. Videos and readings are very brief but homework are fantastic!