Ementorhub

What you'll learn

Identify the strengths and differences between Matplotlib, Seaborn, and Plotly for various visualization needs.

Create a wide range of plots, including line, bar, scatter, and pie charts, using each of the three packages.

Apply data visualization techniques to real-world data, gaining deeper insights into how to use these tools for storytelling and communication.

Skills you'll gain

Interactive Data Visualization

Histogram

Data Visualization Software

Scatter Plots

Box Plots

Seaborn

Heat Maps

Plotly

Matplotlib

Statistical Visualization

There are 5 modules in this course

This course focuses on data visualization, an essential skill for effectively communicating insights derived from data. It introduces three widely used Python packages: Matplotlib, Seaborn, and Plotly, each known for its unique capabilities in data visualization. The course covers the basics of these libraries and demonstrates how to create a variety of visualizations, from simple plots to complex interactive graphics. Through hands-on practice and case studies, students will learn how to choose the right visualization for their data, customize their plots, and create compelling visuals that convey meaningful insights. Optional case studies will allow students to deepen their understanding by applying these tools in real-world scenarios.

Advanced Matplotlib

Optional Matplotlib Case Study

Seaborn

Plotly