Ratings and Reviews for Introduction to Data Science in Python

Course is very good but the Assesments are VERY time consuming. You have to cleanup the data by your own (e.g. rename football teams by hand, what is really painfull for someone comming not from USA)

It was a great course and I enjoyed it immensely. You get the most out of the course when you go deeper in depth than what was discussed within the video lectures. Assignments can be tricky, definitely worth attempting, and it is important for you to understand the problem before trying to code. If you are stuck with the assignments, posting your questions on the course forum is helpful!

aweful assignment. Time-consuming and utterly confusing

The course seems to be hurried up throughout. It is definitely not for first-time data analysis students. It takes a bit of time to get used to the lecture speed and style. Most lectures required multiple viewings to make any sense. Some extra effort is required on the part of the student to learn everything. And the assignments. The assignments are pretty serious and require hours of effort to solve. If you are planning to take up this course, my suggestion would be to expect to put in hard hours.

The assignments require you to do a lot of additional searching online to find solutions to the problems given. That is what you will also do in "the real world" to resolve issues but when you pay for a course it would have been nice that the course can be used as a reference.

It was a good one. A strong fundamental one. Nice

Assignments are not at an introductory level.

Great Course with minimum number of modules

I am currently taking this specialization and I find it very practical. However, I suggest that the exercises be updated regularly. Please note that the exercises should test creativity rather than being simple questions that can be asked in a chatGBT, and the use of a chatGBT should also be considered as part of the curriculum.

EXTREMLY PROFESSIONAL