Excellent course! I enjoyed it, the exercises were really good to solve, its all based on real world problems and pushed me to learn more and clear my understanding, thanks.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Excellent videos with detailed explanations.
assignments too hards, so it's worth it.
recommend to everyone who want to be a data scientist or learn how to work python data science
For me, this was a difficult course in which I learned a lot. I did not find the materials (videos etc.) provided in the course so helpful, but the assignments you get for your own programming are very close to real world problems and will give you real experience. So you will need some other material to learn, I recommend the book "Python Data Science Handbook" by Jake VanderPlas.
Course was awesome assignments need a lot of research and googling, I liked the course a lot.
This course is amazing and the instructor teach everything in very easy way
A very good for learning the basic tools in Python, needed to delve deeper into data science. However, unless you already have experience with python and pandas, I would take the time estimates in the course as a very conservative estimate of the effort needed to complete the assignments!!!
It would be nice if Coursera could update the Python environment used for the exercises and assignments to something recent. The version they're using (0.19) is fairly old. Every single assignment that I had running against 0.24 had to be altered in some way to work for 0.19.
I am quite unsure of where to send a mail to express my gratitude for the scholarship. As such, I guess this may be a good venue for it. Thank you for the scholarship Coursera and University of Michigan.
This course lacked written material to accompany the videos and the reference books are presented in a much different flow, so you are left to jump through books and posts to get through anything. Having the content packaged and delivered in succinct format is what I was looking for and this did not provide that.