This course provides a comprehensive introduction to data analytics and visualization, equipping students with the skills to analyze, interpret, and present data using industry-leading tools. Students will explore the capabilities of Tableau, Power BI, and ESRI ArcGIS Pro for data visualization, along with emerging AI-driven analytics tools that enhance decision-making. Through hands-on exercises, case studies, and real-world applications, participants will gain the expertise to extract insights, create compelling visual narratives, and leverage AI to optimize their analytical workflows.
The cost of the program is $4200, including the Tableau license for the duration of the class.
A minimum of 15 registrants will be required.
By the end of this course, students will be proficient in using data analytics tools to transform raw data into actionable insights, leveraging both traditional and AI-driven methodologies.
For more information, email gcmd@austin.utexas.edu.
Tentative Class Schedule:
Kick-off on campus 1 – 5 p.m.
LBJ School of Public Affairs located at 2315 Red River Street, Austin, TX 78712-1536, Sid Richardson Hall, Unit 3, Room TBD
Friday, October 17, 2025
Zoom Sessions, 7 – 8:30 p.m.
Monday, October 27, 2025
Monday, November 10, 2025
Monday, December 1, 2025
Monday, January 12, 2026
Monday, January 26, 2026
Monday, February 9, 2026
Monday, March 16, 2026
Monday, March 30, 2026
Monday, April 13, 2026
Monday, April 27, 2026
Monday, May 11, 2026
Monday, June 1, 2026
Monday, June 15, 2026
Monday, June 29, 2026
Monday, July 13, 2026
Monday, July 27, 2026
Monday, August 10, 2026
Monday, August 24, 2026
Key Learning Objectives:
Tableau Desktop, Tableau Prep, and Tableau Cloud:
- Import, clean, and manipulate datasets for visualization.
- Create interactive dashboards and reports.
- Apply best practices for data storytelling and visual analytics.
- Utilize advanced features such as calculated fields and parameterized views.
Power BI:
- Connect to various data sources and transform raw data into meaningful insights.
- Develop interactive reports and dashboards with DAX (Data Analysis Expressions).
- Use Power Query for data cleansing and transformation.
- Implement real-time data monitoring and integration with Microsoft services.
ESRI ArcGIS Pro:
- Understand spatial data concepts and geographic information systems (GIS).
- Conduct spatial analysis and geospatial visualization.
- Work with layers, maps, and geodatabases to analyze location-based trends.
AI in Data Analytics:
- Explore the latest AI models and services for data analysis.
- Incorporate generative AI to analysis workflow to bolster the power use of Tableau, Power BI, and ESRI ArcGIS Pro.
- Utilize AI-driven automation to enhance data processing and visualization.
- Examine ethical considerations and best practices in AI-powered analytics.