Data Visualization with Python

The ability to effectively communicate insights through data visualization is critical to anyone working with or around data. Data professionals who understand how to create beautiful graphics that tell a story are both more marketable and more valuable within their companies. 

In the workshop, Visualizing Data with Python, you will: 

• Learn to focus your message and narrow your audience
• Create several types of charts using Python's matplotlib and seaborn libraries
• Apply design concepts to improve default graphics

Download the syllabus

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This workshop is designed to teach fundamental concepts in data visualization using the Python programming language. It is appropriate for anyone who wants to learn how to create better data visualizations. Prior experience with a high-level programming language would be helpful, although it is not strictly required. 

1. Jupyter Notebooks: This workshop uses Jupyter Notebooks to demonstrate data visualization in Python. A primer to Jupyter Notebooks is provided.
   
2. Python libraries matplotlib and seaborn: Matplotlib and seaborn are the most commonly used libraries for creating data visualizations in Python.
3. BIG IDEA: The BIG IDEA concept is discussed in Cole Nussbaumer Knafflic's Storytelling with Data. By using this tool to better understand the context of your work, you are more likely to effectively communicate your insights to the appropriate audience.