Ratings and Reviews for Introduction to Data Science in Python

The course poses itself as a good brief introduction to make you more comfortable at approaching data science project. Recommended time would be 1-2 weeks. However, point deduced for the hassle with auto grader! I also hope that the project could involve people Skyping or collaborating in some way!

this course is nice and it is very useful for my further studies

I really like te explaination thank's

Very Detailed course, must have for a beginners to get into Data Science

Please update the auto-grader such that is it compatible with current version of Jupyter notebook, very frustrating dealing compatibility issues

YOU ARE BEST TEACHER.

The auto-grader system does not provide any useful information for understanding why my answer is wrong. Many questions are not clear enough to understand what they mean, we need to adopt trial-and-error approach to find the correct answer. Finally I aborted on the second course of this specialization.

The video of this course are good. Assessment questions and the expected format of data need to be clarified so that we really understand what is expected to pass the course.

First of all, I would say that the course is right for people who are willing to learn a lot by their self. That's because the assignments are highly beyond the scope of the lectures. It sometimes took me 3 hours to complete a single assignment. Furthermore, you should have some fundamentals in programming, since some concepts are handled as prerequisites. The Quality of the videos are quite okay, but often too fast and not detailed enough. I don´t like the Autograder and would love to have some peer assignments instead. And all external (ungraded) tools are currently offline. So that's a pitty and should be fixed as soon as possible! For those who learn through google (Stackoverflow) and of course, trial and error (I think that's the daily business of a Data Scientist / Data Analyst), I would recommend the course.

A serious lack of guidance within this course. in order to be successful in the assignments, it is absolutely necessary to look by oneself from outside resources. Better directly get a position in data analytics and learn once in the job, than actually use this course...