Udemy – Python Data Visualization for Beginners (CPD Accredited) 2023-8

Apr 18, 2025 - 19:47

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Python Data Visualization for Beginners (CPD Accredited) course. This course teaches beginners how to create interactive and complex data visualizations using various Python libraries. If you’ve ever struggled with creating simple charts or are confused about choosing the right data visualization libraries in Python, this course is for you. It starts by introducing the most popular Python visualization libraries and shows you how to use each one to create simple and advanced charts. As you progress through the course, you’ll explore more complex uses of each library and learn in which scenarios each tool works best. By the end, you’ll have the knowledge to choose the most appropriate library based on your needs and coding style. You’ll also learn key data visualization concepts so you can create more useful and effective charts. The course also covers more advanced technologies, such as building interactive dashboards. All the tools used in this course, including the code editors and the Python language itself, are free and open source, and you don’t need to purchase any additional software. This course is ideal for those who want to get hands-on with data visualization in Python.

What you will learn:

Exploring the Python visualization landscape
Exploring the main concepts of visualization
Using matplotlib to create and customize visualizations
Building and customizing simple charts with pandas
Introduction to seaborn and its use for statistical visualizations
Creating visualizations using Altair
Generate interactive charts using the Plotly library
Designing interactive dashboards using Streamlit
Build highly customized and flexible dashboards using Plotly’s Dash framework

Who is this course suitable for?

Data Analysts and Developers who have some experience with Python but are not yet proficient in a Python visualization library.
People who are limited by their current charting tools and want to explore other options.