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.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
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
Awesome Course......
Quite a fast-paced course, with very quick and packed lectures. Would have preferred the course to be slightly longer e.g. 6 weeks and covering more content. I actually found the style of the coursework to be a plus - though it involved a lot of Googling, this is more reflective of real life, where answers aren't just handed to you on a plate. However, the instructions for the assignments aren't very clear in places, which can easily cause you to become stuck.
To much disconnect between assignments and lectures