What you'll learn

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.

Requirements

A fundamental understanding of basic Python syntax and data visualization concepts.

This course assumes no previous Matplotlib, Seaborn, or Plotly experience.

Description

**This course includes downloadable instructor and exercise files to work with and follow along.In this Matplotlib, Seaborn, and Plotly Python Libraries for Beginners course, you'll embark on a journey to master three essential tools for data visualization in Python.You'll start by learning Matplotlib, where you'll discover how to prepare your data and create various charts like line charts, bar charts, and scatter plots. Next, delve into Seaborn to refine your visualization skills with advanced chart techniques. Then, explore Plotly to create interactive and visually appealing charts that enhance your data storytelling capabilities.Throughout the course, you'll engage in hands-on exercises to reinforce your understanding of each library. Whether you're a beginner or looking to enhance your Python proficiency, this course provides the essential tools to excel in data visualization tasks.By the end of this course, you should be able to confidently navigate Matplotlib, Seaborn, and Plotly, equipped with the skills to transform raw data into compelling visuals. Gain proficiency in three powerful Python libraries, enhancing your data analysis skills and improving your ability to communicate insights effectively.By the end of this course, you will be able 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.This course includes:1+ hours of video tutorials22 individual video lecturesCourse and exercise files to follow alongCertificate of completion