Ratings and Reviews for Introduction to Data Science in Python

This course is a high level and precise introduction to the python programming skills necessary for any data analysis exercise. It is adequately paced which is great for anyone who has some prior knowledge of python. The assignments are particularly challenging which I thoroughly enjoyed. The lectures would effectively introduce a concept and the assignment to follow would test the understanding thoroughly - a structure which in my opinion worked great!

good

Lessons are not helpful if you start from 0 and want to learn. Had to search everything on my own. So what' s the purpose of them? Too little details and assignments too unclear. I came here to learn not to show that I already know.

Challenging fast paced course that requires you to do a lot of self-learning. I learned a lot.

Very good course for any level data scientists. Prof. Brooks teaches from basic concepts to advanced level very well and in a neat way that no other teacher can. This course covers pandas, numpy, stats, hypothesis etc with programming examples.

Excellent for anybody who has to manage large amounts of data on a daily basis. I'll admit that the first week I thought, "Whatever, I can do all of this in Excel." Once I got the hang of it, I realized the potential of this material is unmatched, and I started using Python/pandas/NumPy at our machine learning lab to help us with data acquisition and sorting.

Really good course for beginners in Data Science . The Faculty is very nice and explains each and every concept very clearly.

No or least support. Course Quality is great but problems with grader will left you with wasting your expensive time. Assignments are good but intend to go wayyy more beyond the scope and to learn from online materials though other sites. Grading system is not easy. You have the right answer but you'll need to waist hours to produce specific string for your grader to be satisfied. This i not an elegant learning process at all.

Good introduction to pandas. The programming exercises were quite effective.

It's a great Course, covers a lot of stuff. It seems that the content allocation between lectures and homework is not well balanced. The lectures are quite short and fast, and the homework are heavy. It would be great if the lectures can cover more details, especially the techniques that are used in homework. Also the if the homework can provide more instructions and descriptions and maybe some self-checking hints, it would be very helpful.