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Avis et commentaires pour d'étudiants pour Plots (Graphics) for Data Science par Coursera Project Network

4.1
étoiles
61 évaluations
6 avis

À propos du cours

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 sur 6 Avis pour Plots (Graphics) for Data Science

par Mahmudul H M

12 juil. 2020

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

par Максим А

2 août 2020

Very good!

par Aneke

19 août 2020

Great

par Samuel S

27 août 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.

par Kevin A K

14 oct. 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.

par K M A I

11 juil. 2020

Not that explanatory. Very little time to give input.