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Machine Learning/AI Series: Getting Started with Data Visualization using Python

Class Code


Class Description

Effective immediately in response to COVID-19, all Technology Training classes will be delivered online until further notice.

In advance of each session, Tech Training will provide you with a Zoom link to your class, along with any required class materials.

This byte-sized session is intended to get you started with using tools to visualize data for data exploration prior to performing machine learning on the data.

Part of the Machine Learning / Artificial Intelligence Class Series. Optional: Attend 4 out of the 6 sessions and work towards obtaining a Technology Training ML/AI Proficiency Certification.

Have a basic understanding of the Python language, Pandas library, and be familiar with how to use Jupyter Notebook.

This session is designed for anyone who wants to start exploring machine learning, and understand the tools and techniques involved in visualizing data before doing machine learning.

Use Matplotlib and Seaborn libraries to explore data. Learn how to do the following:

  • Plot different types of charts -- pie, bar, histograms to explore the data.
  • Visualize correlations in the dataset.

Because this is an abbreviated session, attendees MUST install Anaconda software ( prior to the class and have a basic understanding of using Jupyter Notebook.

University IT Technology Training classes are only available to Stanford University staff, faculty, students and Stanford Hospitals & Clinics employees. A valid SUNet ID is needed in order to enroll in a class.