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Machine Learning/AI Series: Getting Started with Data Exploration 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 help you get started with exploring and analyzing data prior to building Machine Learning models. You will have the opportunity to learn about popular tools used to perform such analysis.

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 an understanding of how to use Jupyter Notebook.

This session is designed for anyone who wants to start with machine learning and understand the tools and techniques involved in analyzing and exploring data.

Use Pandas library to explore data and have an opportunity to practice with the following: 

  • Reading data from various file formats such as Comma Separated Values (.csv), JavaScript object notation (.JSON)
  • Look for data values missing in the dataset
  • Understand the statistics in the dataset
  • Replace missing values in the dataset

Training material provided: Yes (Digital format)

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.