Ratings and Reviews for Understanding and Visualizing Data with Python

Great guidance and lesson videos! :) Easy to follow and I love the fact that I learnt something new here - Numpy!

Excellent course.at the end of course I have applied this ideas in my research.thanks to michegean university

This course will be the one to recommend to a lot of people like me.

Overall good but still have rooms to improve. I knew so little about statistics and Python. The concept is quite difficult but relatively new unlike other typical statistics courses offer. Practice assignments are very good but difficult. More guidance of Python libraries usage would help. Passing assignments were too easy. Strong foundations of using Python especially in libraries such as matplot, numpy, panda, seaborn would really help to better understand the concepts with a graphical presentation in Python. I would recommend this course for those who are familiar with those Python libraries already. For me, I need to learn more about those and would revisit the content here again to better grasp full understanding.

Helpful introduction to the topic

I liked it and I learned a lot. Thank you very much.

This is an excellent initial course for using python in statistical data processing and analysis of big sets of data, I appreciate the most the lectures on probability and non-probability sampling. Big Thanks.

This is a good course for people who do not have a strong background in programming. The videos and lectures are extremely well planned, . However, there is not much practice you can do, the assignments are super easy and they do not cover much of what is taught.

Excellent course to learn different statistical ways of understanding and visualizing datasets. Also, it was taught how to gather data. What I like about this course is, besides explaining every topic clearly, the instructors have commented on when to use that and when not to and drawbacks of that concept. The instructors were great at explaining things. I am very thankful to the instructors, team and the University of Michigan.

Good course,learnt a lot about visualizing data