Master Data Visualization With Python

About This Course

Being able to visualize data is becoming a very in-demand skill! Not only does it allow you to present your results easier, but it also enables you to do more analysis by being able to have everything in a visual format in front of you.

Data Visualization is a key skill to have when wanting to work as a Data Scientist or Analyst, but being able to create great visualizations is an important skill for everyone to have.

In this course we’ll go through all the steps to learn how we can create many sorts of visualizations using Python. Along the way we’ll also understand how our library works behind the scenes, which will give us a lot of customization power. An important takeaway with this skill is the ability to create your own visualizations and customize them to fit the situation you need.

What are the requirements?

  • Basic Python knowledge

What will I learn?

  • Understand how to make many types of visualizations
  • Understand why the code works, and how it can be manipulated/adapted to your own cases
  • How matplotlib’s structure works, and how you can use that to enhance customization

Who is the target audience?

  • Anyone who wants to learn data visualization
  • Anyone who knows some data visualization but wants to improve their capabilities

Our Promise to You

By the end of this course, you will have learned about advanced data visualizations using Python.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about advanced data visualizations using Python.

Course Curriculum

Course Sections

Introduction To Matplotlib

Importing Libraries In Python

Dealing With Files In Python

Making A Scatter Plot

Understanding Figures

Creating Axes

Making A Line Plot

Customization Foreword

Changing The X And Y Limits

Adding A Title And Axis Labels

Adding In Equations Into Text

Adding And Formatting Axis Ticks

Customizing Tick Labels

Adding A Legend

Adding Text Annotations

Customizing Our Graph Edges

Using Plot Styles

Saving Our Plots

Histograms

Bar Graphs

Box And Whisker Plots

Pie Charts

2-Dimensional Histograms

Loading And Showing Images

Colormaps

Adding A Colorbar To Our Axis

3D Line And Scatter Plots

Changing View Angles And Animating Our Graphs

About The Instructor

Max

Professional Data Scientist and trained Physicists with a passion for teaching

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Advanced Data Visualization With Python
  • $199.00 USD
  • UNLIMITED ACCESS
  • Course Certificate
  • 24/7 Support