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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

Excellent course for data analysis in python, although the assignments are quite challenging and time consuming for beginners. During the course, I wish I could access to the correct codes after passing minimum score so that I could compare what I did with what common practices would be. We all code in different ways to achieve the same outcome, but it would be nice to know the most efficient ways/styles.
Very condensed and practical. Good fit for the ones who already have some experience in DS using other tools (like R).
In my humble opinion, this course does not have a correct balance of difficulty of new concepts/tools with the exercises given by the course to practice. It is a "hey, look, there is something called pandas out there that may be very useful for you" but it is too introductory. And I know the course has the word "Introduction" in the title but that does not grant, in my opinion, to run a 4-week course such as this one with so little content
As compared to some other machine learning/data science courses offered "Introduction to Data Science in Python" was very pragmatic. Starting out with simple data cleaning and data structuring may not be the most exciting thing ever, but it was extremely useful to learn the basic tools needed to be a competent data scientist. One point of warning - the homework and projects took me about twice a long as suggested by the course notes.
Very interesting and fun
Positive aspects: Readings were relevant and interesting. I learned a lot. I was challenged. Negative aspects: Programming assignments took SIGNIFICANTLY longer than suggested (I have 20+ years of programming experience and am fluent in 3 programming languages, but I'm new to Python). Course did not provide enough support to learners. You're on your own to learn the material and you won't get timely responses (if any) from the staff. I asked clarifying questions about lecture material on the Discussion Forums and got no response (twice). Several concepts were not taught with appropriate detail / explanation. For example, there was no instruction on how to read error messages in Python.
Nice lecture. Needs to have more videos and more advanced tutorials
Course material is interesting and modern, but its amount might be bigger - current level is not enough to complete all the assignments.
i loved the course!. This was my first experience on Data Science and I really liked the approach to the subject.
course was good but teaching material was not enough to complete the assignment

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