Ratings and Reviews for Introduction to Data Science in Python

This course is fairly difficult in regards to the assignments and the lectures cover a lot of material! But trust me when I say the that the lectures are sufficient to point you in the right direction for the assignments. For the most part I ended up using stack overflow when I was working on the assignments, this is nothing new since most of my past programming assignments consisted of me scrounging through stack overflow posts. This course did in fact teach me alot concerning regex and how to apply it on a pandas dataframe. I learned a lot when it comes to data cleaning and for that I think this course is well worth it! The material and how it's presented does add to the difficulty, but honestly it's a fun course if you sufficiently go over the lectures and use stack overflow for general aid.

+The assignments are quite challenging and test learning properly. (took me 12+hrs to finish assignments for week3/4) +The videos were informative. -A lot of very common functions, methods and constructs aren't given in the video and there is no supplementary reading material. You have to rely on other webistes/stackoverflow for a lot of your learning. -A few parts in the videos felt rushed, many useful constructs skipped in some topics. -Explanations of some fundamental concepts was missing. OVERALL IMPRESSION : Take this course if you are willing to do a lot of self-learning outside of the course and already have some degree of proficency with python.

I. (eg wasting 30mins on df.pivot() vs df.pivot_table()!)Think my next course will be more intermediate level in python.

This courser is one of the best course to learn data science according to me.

good experience

A bit hard but absolutely useful.

good

excellent

Too quick

Wonderful course to get started with Python's data manipulation and analysis libraries. The assignments in the course are really good to think and bring practice to improve your skills.