GenAI: Exploratory Data Analysis

Issued by University of Texas at San Antonio

In this module, students will develop essential exploratory data analysis skills that are highly sought after across industries. They will gain an understanding of how business data can be used to track trends in a competitive business market and how visuals can be used to perceive the results of analysis. They practice data science concepts such as storing data, data analysis tools, data cleaning, summary statistics and visualizations.

Type Learning
Level Intermediate
Time Hours
Cost Free

Skills

Earning Criteria

Learning Objectives: 1) Describe methods of exploring common business data. 2) Use geographical data to create spatially related visual models. 3) Use Python’s Pandas library to work with and reference data in an efficient manner.
To earn your badge, you will need to complete the DS 1001 (Data Science for All) course modules. If you have questions or are interested in additional information, please email rebecca.schroeder@utsa.edu