Data Visualization Recipes with Python and Matplotlib 3 [Video]
Creating custom visualizations with Matplotlib on real-world data can be tricky, sometimes with a lot of different features and complex code. As a data analyst or a data scientist, you don’t want to get bogged down. You really want to get those Data visualizations in front of the audience.
This course cuts down all the complexities and unnecessary details. It boils it down to the things you really need to get those visualizations going quickly and efficiently. The course gives you practical recipes to do what exactly needs to be done in the minimum amount of time. All the examples are based on real-world data with practical visualization solutions.
By the end of the course, you’ll be able to get the most out of data visualizations where Matplotlib 3 is concerned.
All the code files are present on GitHub : https://github.com/PacktPublishing/Data-Visualization-Recipes-with-Python-and-Matplotlib-3
Style and Approach
This course is practical and hands-on, sans all theoretical stuff. Once the setup is done, each video is a standalone practical recipe to help you visualize data using certain Matplotlib functionality. All examples use real-world datasets from lots of different domains.
|Course Length||1 hour 27 minutes|
|Date Of Publication||28 Feb 2019|