Ratings and Reviews for Introduction to Data Science in Python

This the worst course that I have ever seen. The instructors do not teach anything. I have experience with Python programming and I dropped the course at the first week. Its a waste of time.

Prof Brooks, Yusuf and Jimi have worked out engaging but also demanding applied course on the subject. Thank you very much

A great course to get a solid foundation of Data Science in Python. Course material, recommendations and discussion forums are very insightful. User-friendly tools and flexibility is a bonus. You'll surely get to level-up your programming and problem solving skills. Completing it will surely increase your appetite for Python programming.

Excelent course and teachers. One of the most Hight level course I've been coursed in Coursera

Solid intro to Python for DataScience purposes. Definitely requires a lot of independent research and it's sometimes nearly impossible to achieve the assignment on the first go (everything is rated automatically, so even a slight deviation from the requirement format will lead to an initial fail).

This is a great introductory course to someone trying to start using python and Pandas for their data analysis. I have been Fortran and Matlab user all my life and recently I started working on big nested datasets with multi index and Pandas is definitely the most efficient way to work with such datasets. This course helped me understand the basics of Pandas and Regex and working on the assignments equipped me with skills needed to work with the big datasets I have.

Solid introduction to Data Science in Python. I.e. this is not an introduction to Data Science but an introduction to how to do it in Python.

Great stuff, very helpful

Course content is great and so the way how videos are made. Issue (at least from my point of view) is the test and evaluation part. I love challenges and the 1st test I really enjoyed, but for the next 3 tests it was not possible to finish whole test without reading additional information in disscusion section for each week. I consider it as annoying. It would be great to add some extra informations into the description of questions. Evaluation is kinda problematic since sometimes you manage to get the required output but it is still considered as wrong. Other than that very nice, thanks :).

The course material is good and fine but some of the assignment instructions are very unclear. This has led to a lot of wasted time and frustration attempting to understand the instructions, especially when the autograder's requirements are so exact. Assignment 3 has some unclear instructions, the most important of which is that the returned value from answer_one() is to be used as the dataframe for all the following questions. ("Questions 2-13 rely on your Question 1 answer" is ambiguous in literally requiring the returned value to be used.) Assignment 4 has unnecessarily complicated instructions, the most egregious of which are in the first paragraph thereof. Researching whether or not a team is to be mapped to a certain metropolitan area is confusing and also seems to be extraneous to a coding test - especially when the information is so complicated and specific to a field (sports) in a geography (USA) one might not have any contextual information about. Otherwise, the course also needs a lot more hands-on practice. Some of the lectures covered a lot of material, none of which was practiced until the last humongous assignment. By which time the vague instructions, lack of practice, and exact autograder requirements made it a frustrating experience.