When performing data analysis, the ability to visualize your data is extremely important for both the analysis process itself as well as for sharing your results with others. In this course, Plotting Data with Pandas, you’ll learn how to use basic plotting functions in Python to create data visualizations.
First, you’ll be introduced to Matplotlib, a built-in Python plotting library, and some of its fundamental features.
Next, you’ll discover methods about preparing your data for visualization and how to use it to create basic plots.
Finally, you’ll explore how to use Python to customize your visualizations.
When you’re finished with this course, you’ll have the knowledge needed to prepare effective data visualizations that will allow you to clearly communicate results and findings from your data analysis work with a wide variety of audiences.
Author Name: Jason Browning, Ph.D.
Author Description:
Jason Browning is a data and analytics professional with extensive experience in both the public and private sector, currently serving as the chief data officer at Montana State University. As a Tableau Desktop Certified Professional, Jason loves to build data visualizations that both inform and inspire. He is capable of wrangling messy data both inside and outside of Tableau, and using SQL to perform complex queries. He holds a Ph.D. in higher education administration from the University of Wy… more

Table of Contents

• Course Overview
  1min
• Introducing the Plotting Ecosystem
  8mins
• Plotting Using Pandas
  15mins