This is one of the best courses on coursera by offering, the instructor Christopher Brooks has a great ability to deliver a lot of information/knowledge in a concise manner! He is a great teacher. I really learned a lot from this course, and reading the course blogs like : science isn't broken, following the data skeptic podcast, joining in on discussions. The discussion forum has great methods by Sophie Green , the teaching assistant, with great stackoverflow links added. This course has a steep learning curve, but as much as it was tough, by and large it was worth every minute investing in it!
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
very good course for intro class in Data Science
Awesome
Horrible. Explains nothingJohns Hopkins data science is FAR superior
great course
The assignment descriptions needs to be precise (with psuedo code).And the statistics part needed a lot visualization to aid understanding.
A great starting point for venturing into Data Science, for students/engineers who have some programming background. In my case I had the basics of Python covered , so it wasn't too hard to catch up.However, for enthusiasts with very limited programming experience.... Beware !!! It will appear to be too fast. My final conclusion .... spend 3-4 weeks to learn Python fundamentals and then enroll .... its very enlightening.
I learned a lot in how to use Pandas for data analysis. Even though some of the assignments are tough to complete, you will feel it's worth spending time and practice on it.
Don't like statistics, good experience in how to apply python and pandas
The course schedule is tight. I feel like a little bit hard for non-cs major learners. The good thing is you could still upload your homework even after the deadline before the last day of course.
