Data Lab

End-to-End Data Competency

The RETS Data Lab builds data competency for scholars, professionals and corporate teams - from study design to decision-ready reporting. Master the tools, techniques, and practices needed to transform raw data into actionable insights.

Who Is Data Lab For?

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.

Core Offerings

Comprehensive data training and resources for every skill level.

Software Training Programs

Master the most widely used data analysis software in research and industry.

  • Excel for data management
  • SPSS for statistical analysis
  • Stata for econometrics
  • R for advanced analytics
  • NVivo for qualitative data
  • ATLAS.ti for text analysis
Data Analysis Clinics

Hands-on support sessions for working through your actual research data.

  • Project-based practicums
  • Real-world datasets
  • Expert-guided sessions
  • Troubleshooting support
  • Peer collaboration
  • Certificate on completion
Dashboards & Reports

Learn to present data in compelling, decision-ready formats.

  • Reporting templates
  • Visualization best practices
  • Executive summaries
  • Interactive dashboards
  • Presentation design
  • Stakeholder communication
Market Research

Applied skills for commercial and organizational research needs.

  • Survey design
  • Data collection systems
  • Consumer insights
  • Competitive analysis
  • Trend identification
  • Actionable recommendations
Data Quality & Governance

Ensure your data meets the highest standards of reliability and ethics.

  • Governance standards
  • Data cleaning protocols
  • Quality assurance
  • Privacy compliance
  • Documentation practices
  • Audit readiness
Datasets Repository

Practice with curated datasets designed for learning and simulation.

  • Practice datasets
  • Analysis simulations
  • Searchable archives
  • Domain-specific data
  • Benchmark datasets
  • Documentation included

Software Training Programs

Hands-on training in the most widely used analysis tools.

Microsoft Excel

Beginner to Advanced

Data management, pivot tables, formulas, and basic statistics.

SPSS

Intermediate

Statistical analysis, hypothesis testing, and reporting.

Stata

Intermediate to Advanced

Econometrics, panel data, and advanced statistical modeling.

R Programming

Intermediate to Advanced

Statistical computing, data visualization, and reproducible research.

NVivo

All Levels

Qualitative data analysis, coding, and thematic analysis.

ATLAS.ti

All Levels

Qualitative analysis for interview transcripts and documents.

Ready to Build Your Data Skills?

Join the Data Lab and transform your ability to work with data.