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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

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!
This was a very helpful course in getting comfortable with using the pandas library and different concepts in numpy in data analysis. The fact that the instructors and course materials do not give you 100% of the tools to complete the assignments is a plus. Every data analyst and programmer inevitably will have to rely on self-guidance. This course by itself may not be immensely useful in the professional world, but lays a strong foundation for the student to focus more on plotting, analysis, and conceptual learning, rather than on code.
Great course. Challenging homework.
I have learned an amazing amount about Pandas and how powerful it is for Data Science, Thanks Peter
An excellent introduction to data science using python
I liked that the course was very assignment-oriented. It had a good structure and interesting additional readings. However, for people who are not familiar with pandas library it may be very challenging to pass assignments. This minimal guidance, I believe, results not in a better understanding, but in confused students writing bad code and spending hours not understanding online documentation. Overall, I really liked the idea and content of the course, but not how instructors approached the self-learning part.
Great introduction to pandas and the basics of data cleaning and preparation. The video lectures are great and the optional readings are interesting. I had a blast working on the assignments and learned quite a bit. I would recommend this as a good starting point to anyone looking to learn how to use python for data analysis purposes!

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