Download Talk Python – Python Data Visualization Course 2022-9

Description

Python Data Visualization Course. The world of data visualization in Python is faced with a lot of powerful and useful libraries. Choosing the right library for any project can be confusing. This unique course is designed to solve this challenge. In this course, you will be introduced to a wide variety of the most popular Python visualization libraries. You start with Matplotlib to create and customize simple plots and gradually move to more complex applications and scenarios specific to each library. By completing this course, you will gain the fundamental knowledge needed to visualize data in Python using various libraries. You will also learn which library is the best choice for your needs and coding style. Along with these, you will also learn the general concepts of data visualization so that you can design your charts more effectively.

The noteworthy point is that all the software and libraries used in this course are completely free and open source.

What will you learn in this course?

The Python Data Visualization Perspective: An Overview of Popular and Applied Libraries
Basic concepts of data visualization: principles and basics of designing effective diagrams
Matplotlib: Creating and customizing simple graphs
Pandas: Create and customize simple charts using the Pandas library
Seaborn: Application of Seaborn for statistical visualizations
Altair: Creating interactive diagrams with Altair
Plotly: Create interactive charts using the Plotly library
Streamlit: Design interactive dashboards with Streamlit
Plotly Dash: Build highly customizable and flexible dashboards using the Plotly Dash framework

Who is this course for?

Developers and data analysts who have prior knowledge of Python, but lack experience in using Python visualization libraries.
People who feel limited by their current visualization tools and are looking to explore new and more powerful options.