Ratings and Reviews for Introduction to Data Science in Python

It is a very good course for learning pandas.

Very helpful introduction to pandas. I can already think of several applications. The Jupyter notebooks accompanying the lectures were very helpful. The assignments were well thought out, and the TA posted some helpful commentary to resolve some ambiguity in the instructions.

The assignments were tough and they really tested your knowledge of python. That being said, the lectures were absolutely useless. I spent 90% of my time trying to figure out python through stack overflow. The jupyter platform is also very frustrating. For whatever reason, error messages kept coming up as I was trying to complete the assignments. At one point, I lost all my work because of this error.

It was a good course where i learned about new and great tools and techniques. I learned how to approach the data science problems using Pandas and Numpy. This would not serve as a great course for into to data science. Background with Database Management and Python really helps. Overall i learn about new and great tools and would definitely require Documentation while using the skills i learnt in this course. Overall Great Job by Professor Brooks. Would love to take more courses by him.

Really good course. Provides ample time to figure out things. Does not penalize for slightly late submissions which is good for busy people. Teaches the fundamentals and asks tougher questions in assignments. Does not spoon feed the answers.

Classes moved very fast, especially in the video materials. Functions were introduced briefly without time to digest. While I ultimately did learn the topics through my own research, I feel the class would have been much more beneficial with slower, more indepth explanations.

Content is actually very good, I can feel the content creator and staffs emphasis on real world problems. Projects and Assignments are quite useful, and I can expect to use skills I acquired in my day to day work. However, the most agonizing parts of this course is it requires tremendous of time to do self-study. I spend tons of time on google search, reading docs and go over other people's post on various forums in order to find the right way(sometimes optimal way) to finish the assignments. I understand and accept that self-study is very import to master things nowadays, but I really think gap is too big between what was taught in class and what you need to complete this course, especially for people that has zero data science programming experience like me. I'd rather spend time watching 2 more hours of teaching videos per week that can cover more aspects/topics/tips/tricks than go over lots of docs and posts. I won't deny I learned a lot through this course, but I believe my learning curve can be flatten significantly if there is more class materials available. If the majority of course is spent on googling, what's the point to take it?

very practical introduction to Python programming

The course is fantastic! By practicing with the assignments, I improved a lot in python programming. I am now confident in doing data cleaning and manipulation in python.

Fantastic!