Talk Python – Python Data Visualization Course 2022-9

Talk Python – Python Data Visualization Course 2022-9 Downloadly IRSpace

Apr 17, 2025 - 19:13 Updated: Apr 21, 2025 - 09:15

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Talk Python – Python Data Visualization Course 2022-9

Python Data Visualization Course. Have you ever been confused by all the different Python design libraries? Have you tried to make a “simple” design and got stuck and couldn’t move forward? Want to create complex and interactive data visualizations in Python? If your answer to any of these questions is yes, then this course is right for you.

The Python data visualization landscape has several libraries. They’re all powerful and useful, but determining what works best for you can be confusing. This course is unique because you will be introduced to many of the most popular Python visualization libraries. You’ll start by learning how to use each library to build simple visualizations. You’ll also explore more complex usage and identify scenarios where each library shines. By the end of this course, you will have a basic knowledge of how to visualize data in Python using several libraries. You’ll also learn which libraries are best for you and your coding style. Along the way, you’ll learn general visualization concepts to make your designs more effective.

Note : All software used in this course, including editors, Python language, etc., are 100% free and open source. You do not need to buy anything to participate in the course.

What you will learn in the Python Data Visualization Course

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

Who is this course for?

Developers and data analysts who have experience with Python, but have not developed capabilities 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.