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Learner Reviews & Feedback for Plots (Graphics) for Data Science by Coursera Project Network

64 ratings
6 reviews

About the Course

In this two-hour long project-based course, you will learn Data Visualization techniques in Data Science. By the end of this project, you will have created and visualized scatter plots, line plots, bar charts, subplots, box plots, histograms, heat maps, and animations. This class is for learners who want to use Python for Data Visualization and Plots, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization project course. Also, this project provides learners with basic knowledge about data visualization techniques and improves their skills in creating various types of charts and plots which helps them in fulfilling their career goals by adding this project to their portfolios....

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1 - 6 of 6 Reviews for Plots (Graphics) for Data Science

By Mahmudul H M

Jul 12, 2020

This is an awesome course for Data Visualization and in a short time anybody can learn data visualization.

By Максим А

Aug 2, 2020

Very good!

By Aneke

Aug 19, 2020


By Samuel S

Aug 27, 2020

The provided notebook is a very example of how to draw various charts in python using matplotlib. But there is no hands-on part. It's basically just executing the cells and see what it shows. The videos also don't explain much of each chart type. You'd have to read the doc to understand. Anyway, it's great to have a comprehensive collection of how to do different charts.

By Kevin A K

Oct 14, 2020

Rhyme is terrible for a 12.5" laptop screen. I cannnot read the text properly. That plus input is really laggy. Everytime I type something into the virtual desktop, my screen gets blurry for a split-second. incredibly annoying. One more thing is that the audio quality is very bad. Lot's of noise and the presenter's speech is garbled.

By K M A I

Jul 11, 2020

Not that explanatory. Very little time to give input.