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学生对 Coursera Project Network 提供的 Plots (Graphics) for Data Science 的评价和反馈

53 个评分
5 条评论


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....



1 - Plots (Graphics) for Data Science 的 5 个评论(共 5 个)

创建者 Mahmudul H M

Jul 13, 2020

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

创建者 Максим А

Aug 02, 2020

Very good!

创建者 Aneke

Aug 19, 2020


创建者 Samuel S

Aug 28, 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.

创建者 K M A I

Jul 11, 2020

Not that explanatory. Very little time to give input.