Ratings and Reviews for Introduction to Data Science in Python

Overall this was a great class. The programming assignments were the most valuable part of the course for me and were good practice for wrangling data with pandas. I did find some of the assignments asked questions in a way that were confusing and it was difficult to debug the answer based on the automatic grader. However, I'm looking forward to when the rest of the specialization is available, as this looks like a good track!

Very Useful and practical

The course is very good to introduce people with pandas usage, however, the autograder and little data issues on the assignments costs a lot of learning time.

In my humble opinion, the Python ramp-up in week 1 is not sufficient to effectively complete weeks 2-4. This course necessitates a bit more practice in Python. The lectures are cut-and-dry, and I recommend frequently referencing them when completing the assignments. I spent about 1.5x the listed time-to-complete on most assignments. On the flip side, I gained a lot of knowledge by putting forth full effort.

Very good content. Challenging assignment that force you to learn more yourself rather than just apply what you've heard and forget it in 10 minutes.

Please make longer tutorial videos. Sometimes it becomes too fast to cope up with.

great course!!

The course is great and learned a lot from the assignment! I just feel some of the content is a little beyond me since it took a lot of time to finish. After finishing the assignment, I feel myself haven't done enough! So if possible, I hope more exercise can be posted here :)

Nice course for understanding the basics

"Course" is very self-directed. There are very few exercises, and there is minimal feedback on those exercises. No attempt is made to reinforce learned knowledge over time (e.g. spaced repetition) nor is there any definitive list for what knowledge should be gleaned from this course. Emphasis is placed on the student's teaching themselves and learning through experience with no attempt to actually understand the learning process or rest the course design on a scientific basis. Standard filler course for an empty education system.