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

Class Sessions

Date Delivery Method Cost
  • Mon Jun 20, 9:00 am to 12:00 pm
Live Online - 1 session $300

Class Code

ITS-1941

Class Description

Effective immediately in response to COVID-19, most 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 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.

Prerequisite:
Have a basic understanding of the 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 analyzing and exploring data.

Objectives
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)

Setup
Attendees must install Anaconda software (https://www.anaconda.com/) 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.