Ratings and Reviews for Introduction to Data Science in Python

This is a assignment-driven course, and the assignments are great. The course is not self-contained, and the assignment is much harder than the content of the course videos. It takes >8 hours per assignment, and it does require some previous programming experience. I have seen complaints about the difficulty of the assignment. However, if someone really wants to learn how to do data science and programming, one cannot copy and paste everything from others' or some lecturer's code. Data wrangling is important work when dealing with real-life data, and he or she must knowing how to read through documents and extract information by themselves. There's no shortcut if you really want to learn Python and pandas. From dealing with real life data, I learned a lot in this course. However, I suggest that the lecturer should provide some simple lecture videos on how to read documents and how to effectively search for relevant content on the internet. Many students may not have appropriate programming skill background before taking this course.

Grader platform could be beter

Good course design for mediate level programmer who is interested in Data Science with Python. Reading materials is lacking references. All of them off site study you have to do are relied on yourselves. Without off site study, you wouldn't complete the course.

c'est un cours enrichissant il y'a beaucoup de chose à savoir mais bon en générale il est géniale

Good for people with prior programming experience.

Very nice!

USEFUL

I

i really liked the lectures and i learned a lot of new stuff but the autograder was very annoying to me. i spend hours on transferring my answers to the correct format. There were no templates or good describtions for the right format provided so you had to read through the forum and talk to the stuff alot to figure it out. This time (many many hours for me) had absolutely no learning-input and it was very very annoying. I doupted many times if i would finish the course...

Important material, but taught in a far less optimal manner than Python for Everybody (or maybe Dr. Chuck's material is just the gold standard). Material is explained at a high level extremely quickly, with very little explanation of the underlying fundamentals of what's going on. Videos are generally of the instructor talking, not actually slides depicting what happens when you're calling a function like loc. Gold stars for the helpful forum posts from the TAs though - would have probably spent 2-3x the time if not for their posts. The week notebooks are also quite helpful - I recommend just reading the transcripts and following along the notebooks, and only using the video when something really does not make immediate sense.