Ratings and Reviews for Introduction to Data Science in Python

Excellent! Challenging!

It's a great course. I took it to refresh my Python skills after a two years' pause, when I needed only SQL. During this course I was glad not only to write code efficiently for realistic tasks, but to get a good overview of the Data Science field, its tasks, theory, approaches. My knowledge is more systematic now, and I feel more aware of options. The course proved to be very useful, pleasant (to listen to and to follow in Jupiter notebooks - great help, too!). Great tasks. I couldn't complete some of them until I really got some subtleties about the data structures and library functions.

I'd say it is a very robust course for pandas intro, particularly the coding assignments are excellent! I consider this my stepping stone to becoming a competitive data scientist. Michigan's courses are always of high-quality.

good

I am too much satisfied

I have learnt more about Python and Pandas using books that with this course; and I say this being an R user for more than 10 years, so I am not new to data science... Didn´t bother finishing it.

Not intermediate. Not basic. Very advanced. Very little point in showing these videos if they are not going to teach anything, just run through these examples.

probably too much focus on regex, but still helpful

Very helpful. Assignments are generally hard but impactful and helps learners grasp concepts. There's a lot of help online for assignments. Do check them out.

Great introduction to Data Science with Python, course builds up your base and act as a building block to play around with data and makes familiar with python.