Reproducible Research Fundamentals - New Edition!

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
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Reproducible Research Fundamentals - New Edition!

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Enrollment to the course is now open!


For the trainees enrolled, course materials will be available from 10 March, 2026. 
The course will close on 10 June, 2026.

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

Meet our core team

Maria Jones
Senior Economist & Team Lead,
Development Impact Analytics
Roshni Khincha
Research Officer,
Development Impact Analytics
Maria Reyes Retana Torre
Junior Data Scientist,
Development Impact Analytics
Development Impact Analytics Team

Find out more here.


Our partners