Ratings and Reviews for Introduction to Data Science in Python

Very helpful and convenient, although some assignments required multiple runs to get the desired results

Enjoyed the course. The assignments are quite challenging if you are a beginner. It tests your skills thoroughly about all the topics. I need to google a lot to find solutions to several pieces of problems. It helped me to learn new things from the documentation and stackflow in the meantime.

Got to learn new concepts of pandas and numpy libraries. The course is very informative, and provides a good amount of basic knowledge, through which one can proceed in the field of data science. Things I didn't understand well, were the ttest_ind library and the matplot library. The lectures should be improved on these concepts.

learned a lot

very useful

It's more self-learning. can practice more

The videos were little fast paced. The explanation were good. It would be better if more detailed explanation on pandas has been given. Some more functions of pandas must be given because in assignment part the questions were little tricky and the question of that type has not discussed. You have to learn more from other resources. However overall course was good, it gives a good explanation on how to use python to manipulate data in table and many more. Before opting this course the individual should have a good grasp on basics of python.

Need more excersices examples, some homeworks are quite difficult

This course is a great introduction to the Data Science World and provides essential knowledge in the field. Moreover, Professor Chris Brooks explains all the topics in an understandable way, which makes the course contents clear and easy to follow.

Great Course for Introduction.