Ratings and Reviews for Introduction to Data Science in Python

Great course

Nice Course Materials. Assignments are a little bit challenging which makes the course so special and it helps me good understanding of the lecture. I think, a little improvement is necessary in regex section.

The course is a bit difficult, but I learned more than I had expected.

need some more explanation

The first two weeks were pretty good. However, assignment #3 had poorly worded/vague questions - Sadly, attempting to finish week 3 became an exercise in futility. Going forward, I will avoid U of M courses on this platform.

I liked this course, it gives a strong introduction to useful data analysis packages like re, Numpy and Pandas. I think it should be used as an integration to other, more structured courses at a university. I loved especially the regex part, because it is really well-structured and helped me reviewing the regex syntax; while the Pandas introduction is less useful because the Pandas package has updated a lot from the date this course was recorded.

I am a beginner data science student and did not go to college to learn anything related to this course and I found myself easily following the course content. Some of the topics were a bit abstruse for me but with time and the extension of due dates for the assignments submissions, I finally managed to obtain this course 1 certificate. I intend to get all the courses' certificates. Thanks for the great opportunity and easy to use platform.

It is very good

Only Video, no other Content. This results in typing every Line of Code manually to your own personal Notes like you would from a Chalk Bord. And you will need Notes, when you want to succeed in Tests and get the Syntax right. This is just some unnecessary Overhead. Not my Type of Learning and a little bit out dated...

Great course on intermediate manipulation of data frames