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

Section 1 - Prerequisites
Introduction To Matplotlib 00:00:00
Importing Libraries In Python 00:00:00
Dealing With Files In Python 00:00:00
Section 2 - Developing An Understanding Of The Basics
Making A Scatter Plot 00:00:00
Understanding Figures 00:00:00
Creating Axes 00:00:00
Making A Line Plot 00:00:00
Section 3 - Customization
Customization Foreword 00:00:00
Changing The X And Y Limits 00:00:00
Adding A Title And Axis Labels 00:00:00
Adding In Equations Into Text 00:00:00
Adding And Formatting Axis Ticks 00:00:00
Customizing Tick Labels 00:00:00
Adding A Legend 00:00:00
Adding Text Annotations 00:00:00
Customizing Our Graph Edges 00:00:00
Using Plot Styles 00:00:00
Saving Our Plots 00:00:00
Section 4 - Types Of Visualizations
Histograms 00:00:00
Bar Graphs 00:00:00
Box And Whisker Plots 00:00:00
Pie Charts 00:00:00
2-Dimensional Histograms 00:00:00
Section 5 - Images
Loading And Showing Images 00:00:00
Colormaps 00:00:00
Adding A Colorbar To Our Axis 00:00:00
Section 6 - 3-Dimensional Plotting
3D Line And Scatter Plots 00:00:00
Changing View Angles And Animating Our Graphs 00:00:00
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