Ratings and Reviews for Introduction to Data Science in Python

Excellent course, even if you have taken other Python courses or if you use Python regularly. This course provided a good introduction to many ways you will use Python in real-world applications. The assignments were challenging enough and some required research on your own, which is exactly what you do with real problems.

Too difficult

awesome

Assignments are way too difficult compared to what is being taught in the course lectures. I would have gotten more value had I taught myself the course material. The phraseology used during the lectures is almost designed to confuse you. You do not get any feedback from the assignments and when I got stuck, I posted on the Discussion forums. No helpful feedback came from that. I wanted to learn Introduction to Data Science in Python while I worked full time. I spent hours and sometimes even days on an assignment because they want very specific answers and the prompts are too vague. I do not recommend this course, you're better off teaching yourself. I will not be taking the other courses in this specialization.

quite challenging to understand with lecturers assuming you know all

Great Great Great Great Course. Just too Good. After this course, I get to know why The University of Michigan is so famous. They give their hard work to build courses and curriculums just great courses. Thankful for their Aid. God Will Bless You Guys. Because you are just working for Humanity First then something else after that. Thank you very much for your Great work The University of Michigan.

This is an excellent course to get introduced to pandas by completing practical assignments. Python and basic statistics are required. Assignments on weeks 3 and 4 take longer than three hours. Almost all the course is self-contained, some specific topics should be searched online to complete assignments.

amazing

it is to good

nice