Good and necessary introduction to Python. But especially Assignement 3 regarding cleaning the data should be improved. It´s good to know how to clean the data but it´s confusing when Q1 is apparently correct but actually it´s not. Mabye it would be better that Q2 - Q13 based on a new dataframe which is correctly by all means.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Very well designed course for Data Science beginners
The course content is great. However, basic knowledge of python programming language is required. Since I didn't know python coding rules, I really struggled for a while. Maybe, basics of python in additional resources will help a lot of learners.
cool course
I feel the videos could have been more instructive.However, the level of assignments is incredible! I learnt a lot more from programming assignments of this course than videos.
I would like to have seen more detailed teaching on Hypothesis testing and how it applies to python before tackling the final project.
Awesome course for those who want to kick start a data science career.
Will be useful to take the Phyton Cpurse before this one. You only learn when you do the assignments.
The Assignments are really tough and need a lot of self study. However, If you are a person who learns by doing projects this course is the one.
I learned so much. However, the lack of support when I got stuck made it a frustrating experience. I would not have been able to pass without the discussion forum tips. Even then, it was a lot of mucking in the dark and assignments took longer to complete than they should have. I'm glad I took the course but it was not designed for someone at my skill level. If the discussion forum was organized in a better way, it would have helped -- I had to scroll through pages of text to find the right tips to identify my mistakes. Sometimes the question requirements were oddly or ambiguously phrased and I misunderstood the expectation for the function being tested.