Introduction to Data Visualization with Python

In order to receive a certificate of completion of Introduction to Data Visualization with Python workshop please your final visualization to Canvas.

Outline:

Introduction to visualization and data analytics with Python, Click here:
- Introducing matplotlib and seaborn as main data visualization libraries in Python, Click here.
Creating bar charts and box plots, Click here:
- Working with pandas dataframes and seaborn visualization toolkit for easy data visualization, Click here.
Working with scatter plots, line charts, and 2D heatmaps:
- Developing scatter plots and line charts based on pandas dataframes and seaborn, Click here.
- Creating 2D heatmaps for multi-dimensional data visualization, Click here.
Creating animation based on interactive data visualization in seaborn:
- Developing animation based on transient data and using built-in functionalities of matplotlib and seaborn, Click here.

Google account to use it on Google Colab: https://colab.research.google.com/

Kaitlyn Samons, Data Visualization Instructor

Clemson Data Visualization Lab

E-mail: ksamons@g.clemson.edu

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