Learner Reviews & Feedback for Applied Plotting, Charting & Data Representation in Python by University of Michigan

AMAZING COURSE!!!! Taught me a lot about matplotlib. Thank you Coursera for offering us this opportunity and learn something new. Amazing instructor and the assignments were well at par.

Excellent introduction to matplotlib and hands on projects to learn the concepts. I'm happy with the visualizations I've built. Also got a foundation to delve further into this field.

Good starting course for data representation in Python. Gave a different view on charts in general. Also, assignments gave me the inspiration to apply course material in practice.

Pretty awesome course! it's not a walk in the park, though. If you do love data science, and apply what you learn on the course, with some grit and perseverance, you'll prevail.

Learned allot about plotting and how matplotlib works. I still got a long ways to go to be an expert but now if I have any question I know what and were to look for the answer-

The Course cleared all of my doubts regarding plots, also due to peer graded assignments i learned many new things and got an idea how other peers are doing their assignments.

This course helps you overcome your knowledge and gives you knowledge about the type of graphics and how they should be done. Makes you give more than 100% of your knowledge

Very hands-on course. Instructor won't teach everything. Students need to do some search on the internet to complete the assignment. It is not that easy but quite rewarding!

Excellent course. Very well thought through. The Week 3 project is really great too. As challenging as you want and definitely worth working hard on it. You'll learn a ton.

Very good! Cover the basics and somes of not that basic of matplotlib as well as an introduction to ploting with pandas and seaborn. Essentials tools for a data scientist.

Great class, I learned a lot about matplotlib. There are so many things I still do not know, but the course did a great job of showing me the potential of the package.

Brilliant course. Very intense, new information is tightly packed and practical skills are guaranteed to be acquired.

Requires extra focus and dedication from a student.

This course has enabled me to look at visualisation in an entirely new way and the structure and quality of the content is extraordinary! Would highly recommend it!

I learned a lot about data representation and plotting in Python language using matplotlib. Perfect course for those who wants to explorer more about visualization.

Professor Brooks is the best, very to the point, precise and hands on course. I strongly recommend to anyone interested in gaining python knowledge in data science.

That coursera is wonderful thank for this course I understand the data representation in python with matplotlib, seaborn and pandas. It was very helpful for me.

Great way to enhance skills in data visualization. I would recommend this course to anybody in any sort of position that would like to make data look beautiful!

Very fun, requires you to explore a bit by yourself if you are not already familiar with statistics concepts or programming language but I enjoyed it very much!

Really Nice Course...Thanks to Speaker..It really awesome experience of how to plot,chart and represent data..

Thanks To Coursera Team & University of Michigan.

Really great explanations of the tooling but the recommended books I purchased add weight to the importance to accurate representations of the data in question

Fantastic course! a bit fast a times but I love how you get to feel empowered to solve your own day to day problems and learn great representation techniques.

This course serves as a quick way to get an overview of matplotlib's capabilities. It is especially useful if you are new to python and matplotlib in general.

It was a great introduction to the fundamentals data visualization. I enjoy how the course was structured to teach both theoretical and practical knowledge.

After taking this course, I have acquired many tools to properly make data visualizations that are insightful, beautiful, functional and easy to understand.

It's provides both the theory and principles behind great visualizations as well as the practical experience needed to learn to build these visualizations.