Chevron Left
Вернуться к Plots (Graphics) for Data Science

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

Оценки: 64
Рецензии: 6

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....

Лучшие рецензии

Фильтр по:

1–6 из 6 отзывов о курсе Plots (Graphics) for Data Science

автор: Mahmudul H M

12 июля 2020 г.

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

автор: Максим А

2 авг. 2020 г.

Very good!

автор: Aneke

19 авг. 2020 г.


автор: Samuel S

27 авг. 2020 г.

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: Kevin A K

14 окт. 2020 г.

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.

автор: K M A I

11 июля 2020 г.

Not that explanatory. Very little time to give input.