Data Analysis and Visualization with AI
June 2026
3 sessions
About the Series
Launching June 2026
This three-part series supports public professionals who work with data and want to use AI tools to strengthen analysis, improve clarity, and support evidence-based decision-making in government.
Public sector teams are often responsible for cleaning messy datasets, combining information from multiple sources, and communicating findings clearly to leaders and the public. This series focuses on how AI-assisted tools can help streamline these tasks—while ensuring that data quality, transparency, and accountability remain central.
Across the series, participants explore how AI can support the full data lifecycle in public sector contexts: preparing and cleaning data, analyzing patterns and trends, and translating results into clear, trustworthy visualizations. The sessions emphasize practical workflows, responsible use, and the importance of human interpretation when working with public data.
Data Analysis and Visualization with AIAnalyzing Public Data: Using AI to Explore Patterns and Support Decisions
This workshop examines how AI can support exploratory data analysis, from identifying trends and outliers to generating hypotheses and scenario insights. Participants will learn how to use AI responsibly to inform decision-making while avoiding over-reliance o…
Data Analysis and Visualization with AIPreparing Public Data: AI-Assisted Cleaning and Organization
This session focuses on the often time-consuming work of preparing public data for analysis. Participants will explore how AI-assisted tools can help identify inconsistencies, standardize formats, and document assumptions—while maintaining transparency and dat…
Data Analysis and Visualization with AITelling the Story: AI-Assisted Data Visualization for Public Audiences
This session focuses on translating analysis into clear, accessible visualizations. Participants will explore how AI tools can help design charts, dashboards, and narratives that communicate evidence effectively to policymakers, stakeholders, and the public—wh…