Research Skill Column

Data Collection

Foundational methods for gathering empirical evidence: survey design and mixed-methods research, SQL and database management for institutional data, and web scraping techniques. Covers the data pipeline from raw collection to clean, analysis-ready datasets.

Data Visualization

Transforming complex datasets into clear, compelling visuals. Showcases dashboards, infographics, and interactive reports built with R, Python, and PowerBI/Tableau. Design principles for making institutional insights accessible to diverse stakeholders.

Analytics Methods

Statistical modeling and predictive analytics for higher education: logistic regression, survival analysis, clustering, and program evaluation techniques. Covers AI and LLM applications in higher education, and the analytical methods used in retention studies, enrollment forecasting, and impact assessment.