Course Overview

In "Matplotlib, Seaborn, and Plotly Python Libraries for Beginners," you'll dive into three powerful tools for data visualization in Python. Learn to craft compelling visuals with Matplotlib, Seaborn, and Plotly libraries.

First, you'll delve into Matplotlib, mastering line charts, bar charts, and scatter plots. Next, you'll uncover Seaborn's capabilities, refining your skills in generating captivating visualizations. Finally, you'll harness the power of Plotly, creating interactive charts to enhance your data storytelling.

You'll engage in hands-on exercises throughout the course to help solidify your understanding of each library. Whether you're a beginner or seeking to enhance your Python proficiency, this course equips you with the essential tools to excel in data visualization tasks.

By the end of this course, you should confidently navigate these libraries, transforming raw data into compelling visuals that convey insights effectively. Join us and unlock the potential of Matplotlib, Seaborn, and Plotly for your data visualization needs.

Learning Objectives:

In this course you will learn how to:

• Prepare data for visualization using Matplotlib.
• Create customized line charts with Matplotlib.
• Generate multiple line charts for comparative analysis.
• Construct bar charts to represent categorical data.
• Develop scatter plots to explore relationships between variables.
• Utilize Seaborn and Plotly libraries for diverse chart types.