Data Lab serves graduate students looking to build analysis skills for their thesis or dissertation, M&E professionals strengthening data collection and evaluation capabilities, corporate teams seeking to upskill in data-driven decision making, and researchers aiming to enhance their quantitative and qualitative analysis competencies.
Comprehensive data training and resources for every skill level.
Master the most widely used data analysis software in research and industry.
Hands-on support sessions for working through your actual research data.
Learn to present data in compelling, decision-ready formats.
Applied skills for commercial and organizational research needs.
Ensure your data meets the highest standards of reliability and ethics.
Practice with curated datasets designed for learning and simulation.
Hands-on training in the most widely used analysis tools.
Data management, pivot tables, formulas, and basic statistics.
Statistical analysis, hypothesis testing, and reporting.
Econometrics, panel data, and advanced statistical modeling.
Statistical computing, data visualization, and reproducible research.
Qualitative data analysis, coding, and thematic analysis.
Qualitative analysis for interview transcripts and documents.