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
Registrations are now open!
This course starts on March 4 and closes on May 2, offering you one live session.

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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


Meet our core team

Maria Jones
Senior Economist & Team Lead,
DIME Analytics
Roshni Khincha
Research Analyst & Data Coordinator, DIME Analytics
Maria Reyes Retana Torre
Junior Data Scientist,
DIME Analytics
DIME Analytics Team

Find out more here.


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