Career Outcomes: Data Camp Series (Special Event)

🔍 Learn to drive data-informed equity in career outcomes through this 3-part series.

Topics:

• Sample Size, Margin of Error, and Confidence Intervals: Understanding statistical reliability in data collection

• Analyzing Disproportionate Impact: Identifying equity gaps among underserved populations

• Designing Effective Survey Instruments: Crafting tools to gather meaningful career outcomes data

• Data Analysis Frameworks: Macro, Meso, and Micro Approaches