Ratings and Reviews for Introduction to Data Science in Python

1. Recommend immediate termination and removal of this course due to the disservice to the field. The course is so horrible it convinces students that data science is not for them. 2. It appears that Brooks has only superficial understanding the material himself, as he is unable to explain it. 3. Lectures are waste of time, consisting of watching Brooks speaking as someone types what he says into the files already downloaded. 4. No relationship between lectures and homework assignments. 5. Repeated references to promote Brooks’s book. Lectures are so useless, his book likely only suitable for lining birdcages. 6. Repeated acknowledgment of inadequacy of lecture material with Stack Overflow cited as primary resource for learning. 7. Homework assignments a. Incredibly poorly written, as if student inability to complete them is the principal objective. b. Auto-grader errors incomprehensible and fail to indicate which part of the assignment has issue. c. Auto-grader reports errors that are actually auto-grader processing problems. TA in discussion forums attempts to interpret, without success. 8. Discussion forums a. TA complaints not enough time to support students b. TA agreement assignments poorly written i. Attempt to balance helping students without disclosing actual solution, with infrequent success ii. Repeated apologies and responds there are notes on where to improve (dated over a year ago, no changes made) 9. I have been programming since yellow paper tape. I know a terrible course in my field when I see one. With so many negative reviews, why are the problems in this course not addressed?

The assignments are a bit difficult especially assignment 1 with a lot of regex

Files are not imported. Assignments are challenging. Start with an intro course first.

sometiemes the questions are not detailed enought!

Great Experiance

good

excellent course with suberb instructructors . surely will refer to other friends in the field.

Sienta buenas bases para el aprendezaje de ciencia de datos

the assignments are quit tough, but practical and real life problems. You really have to dive in and learn it. But you get better understanding.

the programing assignment were challenging, which is good as it resamples real world problems. However, the lectures were really lacking in terms of content and the student is left wondering around in stackoverflow finding ways to solve the problems. If this was the intention of the course, then you did great, however, for me, I wanted more content and a lot more explaniation in the videos.