DP

The issure of learning the difference between dataframe and series needs to be a bit more clear in my opinion.

KB

E​xcellent in depth teaching methodology. I learned how to apply python programming skills from the first course in the series to data anaysis!

SD

This course is very good especially for newbies. i have learnt alot. Teaching is very sample anybody can understand

AM

Videos touching same theme were too short (26 sec, 1 min, etc.) and disruptive. Wish there could be more practices.

KG

Excellent course. Assignments /home work explaination need to be rethought. Special thanks to Jahnavi for helping through out the course.

AL

Very informative course. However lessons feel more like telling than teaching. The lecturer could go more in depth.

YS

Good! It is probably challenging sometimes, but it is not very tough generally speaking. A little drawback might be that it didn't help me build up data analytical thinking vey much.

DW

A​ well paced and explained course throughout. I have learned a lot from this course, especially with the coding along exercises and example Jupyter notebooks. Highly Recommended!

BB

Good, but it is getting a bit out of date. Several of the commands in the lessons were deprecated.

EB

This is a good course! I hope University of Pennsylvania will offer the more advanced course so I can enroll, too! Kudos to the instruction and to the staff.

CA

A​n excellent course. Felt a bit more rushed than the previous course, but still offered an excellent grounding in basic Python.

JA

Loved it. Learnt a lot about opening files (file handling) in Python, Numpy, Pandas, lambda function, visualization, and tricky questions.