Talk Python – Python Data Visualization Course 2022-9 – Download

Description

Python Data Visualization Course. Have you ever been confused by all the different Python design libraries? Have you tried to create a “simple” design but got stuck and got stuck? Do you want to create complex and interactive data visualizations in Python? If you answered “yes” to any of these questions, this course is for you.

The Python data visualization landscape has several libraries. They are all powerful and useful, but figuring out what works best for you can be confusing. This course is unique because you’ll learn about many of the most popular Python visualization libraries. First, you’ll learn how to use each library to create simple visualizations. You’ll also explore more complex usage and identify scenarios where each library shines. By the end of this course, you’ll have a basic understanding of how to visualize data in Python using multiple libraries. You’ll also learn which libraries work best for you and your programming style. Along the way, you’ll learn common visualization concepts to make your designs more effective.

note : All software used in this course including editors, Python language, etc. is 100% free and open source. You don’t need to purchase anything to take the course.

What you will learn in the Python Data Visualization course

Browse the Python visualization landscape
Discover the core concepts of visualization
Use matplotlib to create and customize visualizations
Create and customize simple maps with pandas
Learn more about Seaborn and use it for statistical visualizations
Create visualizations with Altair
Create interactive charts with the Plotly library
Designing interactive dashboards with Streamlit
Create highly customizable and flexible dashboards with the Plotly Dash Framework

Who is this course suitable for?

Developers and data analysts who have experience with Python but have not developed features in the Python visualization library. This course is also useful for those who feel limited by their current drawing tools and want to explore other options.