The videos could have been more Assignment friendly, as the assignments were tough to crack after seeing just the basics

The assignments and the projects touched upon not just the basics. The video lectures could've been a bit more detailed.

The pace of the course is fast, need quite a bit of python experience and a lot of study outside of the course material.

First two weeks are great. The third week becomes a bit disporportionately difficult. The autograder is very inflexible.

Good course, going a bit fast on certain aspects but good use of Jupyter and interesting coursework, challenging enough.

Difficult, but do-able. Recommend having a strong baseline understanding of Python + Jupyter Notebooks before starting.

I have gained much knowledge of the pandas library from this course.I will forever be grateful to Dr.Christopher Brooks

This course was very much fast paced.This course is not for beginners but for people who wants to refresh there topics.

Amazing course the basic fundamentals and overview idea of the data science using python is covered in this course.....

Great material, but the lectures go extremely fast and have no external notes. The last assignment is way out of scope.

Very good course to get your hands dirty. A lack of clarity in the assignments' instructions leaves students guessing.

Presentation materials and instructor is well. However, assignments are a bit hard and do not have enough explonation.

Good course for beginners but it is some advance thing which asks in the assignments but not covered in video lectures

Excellent course, auto-grader + assignments can be frustrating at times but other than that all good.

Many thanks.

Steve

A good starting point, but as it is explicitly mentioned it doesn't teach much math for stats but overall pretty good.

Very good assignments and good overview of many different topics. Videos are well made and I'd like to listen to them.

I have moderate base in python and had very less idea on dataframe . This course helped me learn a lot of new topics.

Great course!! Programming in python with data other than numbers. It was a challenge for me, but I really liked it.

There was a lack of practical excercises after every video. I would better prefer more smaller tasks during the week.

Most assignments required individual learning. Not much was covered in the lectures. I relied on the book I'm having.

The course is going pretty fast through the most important libraries. Make sure you understand python and statistics.

great class to start journey to python data science. the exercise can be more clearly defined but, discussion helped.

Course is very interesting and video lectures ar worth understandable as well .

need to improve the timing of speech

It needs more examples of how things are done, so that all new key concepts are grasped before leaving for the next.

Good info and subject matter. Be prepared to spend a fair mount of time coming up with ways to practice on your own.