Ratings and Reviews for Introduction to Data Science in Python

Excellent course

非常具有实用价值，老师讲解也非常深入浅出，尤其是每周的最后测试，难度适中，既能帮助进一步巩固知识，同时也具有一定趣味性和实用性，很棒的课程

Very well designed course, especially the Jupyter notebook. Totally accessible and user-friendly for both math/CS/stats majors and those without related background knowlege.

I found this course challenging especially during weeks 3 and 4. In order to pass I had to do a great deal of data cleaning and for this a good knowledge of Python is a must. I highly recommend this course as an introduction to Data Science.

challenging and helpful assignments. i learned so much from this course!

Much more practice-based than similar courses on Coursera - expect to spend a lot of time on Stack Overflow!

It is a great course. In depth teaching but on week 3 and week 4 required a lot of hours of researching. Worth every penny. It really pushes people to learn Pandas by researching on their own.

This course is an amazing introduction to the potential uses of Python in Data Science. You do need to know some basic Python before starting (your life will be easier), but the lectures are really good (self learning required).

Good base material on data science. Not the best python course. Directions were lax during the programming and I stumbled around until I found the formulas they were looking for. Not the best direction on assignments.

Tough without some prior knowledge of data science in python. It will take you a lot of on your own research, debugging, and looking up techniques, which is fine, but I feel not a great "intro" course. I need a better foundational understanding of pandas and numpy and still barely know why I did what I did, just that the syntax I managed to find works. Both numpy and pandas are quite powerful and its easy to see their usefulness, but I would call this an intermediate course.