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

Class Sessions

Date Location Cost
  • Wed Jan 27, 10:30 am to 12:00 pm
Live Online $150

Class Code

ITS-B1902

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 intended to get started with using tools to visualize data as part of data exploration prior to doing machine learning on the data.

Part of the Machine Learning / Artificial Intelligence Class Series. Optional: Attend 4 out of the 5 sessions and work towards obtaining a Technology Training ML/AI Proficiency Certification. 

Pre-requisite: 
Have a basic understanding of Python language, Pandas library, and an understanding of how to use Jupyter Notebook.

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

Objectives
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.

Setup
Because this is an abbreviated session, attendees MUST install Anaconda software (https://www.anaconda.com/) and have a basic understanding of using Jupyter Notebook.

 



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