Reproducible Research Fundamentals

This course is designed to teach research assistants and analysts best practices for reproducible research. Participants will learn how to implement transparent and reproducible workflows, to effectively code in a team environment, and to keep personal data secure throughout the lifecycle of a research project.

The course will cover best practices at all stages of the data workflow, from data management to cleaning, tidying, constructing indicators, analysis, and exporting reproducible outputs. Requires prior knowledge in a coding software (such as R, Python, Stata etc.).

  • Duration

    30 hours

  • Video

    5 hours

  • Training typology

    e-learning

  • Community

    Multiple forums
Enrollment to the course is now closed!

For the trainees enrolled, the content will be available starting from March 4, 2025. Make sure to finalize the course and earn your certificate by May 2, 2025.

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What's included?

  • Videos
  • Software exercises
  • Assessment
  • Certification
  • Forum discussion

Learning Objectives

  • Develop the knowledge and tools to create reproducible, accessible, and well-documented research.
  • Implement transparent and reproducible workflows to code safely in a team environment.   

Who we are looking for

  • World Bank staff
  • Researchers
  • Data scientists
  • Stakeholders in client countries that work closely with data


Course Lessons

Our tRAINERS

Meet our core team

Maria Jones

Senior Economist & Team Lead,
DIME Analytics

Maria Reyes Retana Torre

Junior Data Scientist,
DIME Analytics

Roshni Khincha

Research Analyst & Data Coordinator, DIME Analytics

DIME Analytics Team

Find out more here.

Our partners