Ratings and Reviews for Introduction to Data Science in Python

Good course but at times very tedious assignments that require a lot of independent trouble shooting and stamina that someone with little programming experience may not have. Anyway, very interesting!

Its a very Good Experience, and i believe i can work with pandas and play with pandas

Not my style of course. Lectures is a mostly just a list of code snippets without any slides. Instead there is a background of 2 people just staring at their screens the whole time. Does not inspire one to enjoy Data Science as a field. Prefer a narrative explaining why and how with practical tips thrown in. Learning to code is more than just syntax. Good examples are the first chapter in Think Stats by Allen Downey and Andrew Ng's Machine Learning course. In this course the assignments took quite a bit of time to complete since lecture code snippets not very useful. Had to self-learn from web to complete assignments. Also took extra time by some trial and error to get right format of results. A more productive approach was assignments in A

Good course - requires a lot of self-learning, but that's not a huge problem. I think we could use a little more support.

This is amazing. I like a course which challenges me to do what they have taught and this course knocks that boundary off the field. In love with this course. Really challenging, love it.

Лучший курс в котором можно почерпнуть основы Numpy и Pandas для анализа данных и использования в разработке связанной с машинным обучением

I really enjoyed this course. The assignments were challenging and really reinforced the lecture content.

Very well structured

The teaching process is too fast, especially the assistant teacher who appear at the end. The assignment is 40% related to the course. And a little bit hard. The first week assignment is related to the week two, but i did not study week two at that time

The assignments are very interesting but the course materials should give more examples and guidance.