Data visualization with Python

• Overview of Python packages: We start with a detailed introduction to the most popular Python packages for data visualization such as Matplotlib, Seaborn and Plotly. You'll learn to understand and differentiate the strengths and uses of each package.

• Types of visualizations: We then delve into the different types of visualizations. From basic charts to complex visualizations, you will learn how to choose the right type of visualization for your data and analysis goals.

• Practice with Plotly Express: At the heart of the course is a special focus on Plotly Express. This powerful library allows you to create interactive and highly customizable visualizations. You will be able to independently create engaging and interactive graphics that bring your data to life.

• Exploratory data analysis: During the course, we will show you how to use visualization techniques specifically in exploratory data analysis.

Duration of the course: 1 day

After completing this course, you will not only be familiar with the technical aspects of data visualization, but you will also be able to present your findings in a way that engages and informs your audience. Whether you are creating reports for stakeholders, preparing insights for your team or sharing your research findings, the ability to communicate data visually will be an essential part of your skillset.