Ratings and Reviews for Introduction to Data Science in Python

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.

This course was extremely bad. Reading a video where someone simply types at you and monotonously reads exactly what they type is excruciating. The text moves too fast to absorb anything remotely complex, the presenter has no personality whatsoever, and the course mostly amounts to a guided tour through StackOverflow. The autograder fails to compile code that works but isn't efficient, and many quiz questions are worded too ambiguously. Then when you get questions wrong due to bad wording, you can't immediately retake the quiz! I've taken several Python MOOCs, and this was not only the worst by a mile... it was the only bad one. I refuse to waste any more of my time on this.

Challenging but good course. Don't give up. Some programming background is reccomended. I learned a lot.

Overall, I was very pleased with this class and how much I learned from and practiced within it. I have some adjustments I would make, mostly to the assignment instructions and time estimates. The assignment themselves are well-designed and useful, they just have extremely clumsy communication attached. I would recommend it, particularly since all my complaints are easily fixed. I took it in Spring of 2021.