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Вернуться к Plots (Graphics) for Data Science

Отзывы учащихся о курсе Plots (Graphics) for Data Science от партнера Coursera Project Network

4.3
звезд
Оценки: 53
Рецензии: 5

О курсе

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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1–5 из 5 отзывов о курсе Plots (Graphics) for Data Science

автор: Mahmudul H M

Jul 13, 2020

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

автор: Максим А

Aug 02, 2020

Very good!

автор: Aneke

Aug 19, 2020

Great

автор: 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.

автор: K M A I

Jul 11, 2020

Not that explanatory. Very little time to give input.