Ratings and Reviews for Introduction to Data Science in Python

Great course with everything well explained. Its just the assignments are a bit tough and you have to explore a lot to get the answers right.

A mixed bag, mostly because of the very poor programing assignments due to very poor task descriptions and monosyllabic answers from tutors when asking in the discussion forums. Wondering what could be the precise meaning of the exercises leads to hours of trial, error and frustration. Besides this the content of the course is good to understand and execute data cleaning and prepare real world data from various sources for further processing like ML. Pandas is at the center here. I wanted to take more courses from the Michigan Python series but I will not do this due to the issues mentioned.

I really enjoyed learning.I learned lot about data science in python

It was very important course for me. Thanks

top bizi top

Lectures are great to follow, assignments do make you get into the code deeply and understand how to use pandas, numpy etc. Learned a lot and feel comfortable going forward with it from here!

This course is extraordinal to all python course i have taken elsewhere

This the worst course that I have ever seen. The instructors do not teach anything. I have experience with Python programming and I dropped the course at the first week. Its a waste of time.

Prof Brooks, Yusuf and Jimi have worked out engaging but also demanding applied course on the subject. Thank you very much

A great course to get a solid foundation of Data Science in Python. Course material, recommendations and discussion forums are very insightful. User-friendly tools and flexibility is a bonus. You'll surely get to level-up your programming and problem solving skills. Completing it will surely increase your appetite for Python programming.