This course teaches best practices for reproducible analytics, from data processing to publication. Participants will learn 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 teach participants best practices of how to work with data once acquired - cleaning raw datasets, creating indicators, analyzing the data and exporting tables and graphs reproducibly.
The course is fully virtual and self-paced and will run from 29th November to 13th December 2023. It will use a combination of pre-recorded lectures, live Q&A sessions, and quizzes. The course will not require use of statistical software; however, participants will have access to optional practice exercises in Stata and R. The expected time commitment for the course is 20 hours over the course of the two weeks.

In order to successfully complete the course and receive a course certificate, you need to fulfil the following requirements:

• Complete the course baseline knowledge test before engaging with materials and related quizzes, before 13 December 2023 at 11:59 PM (ET)
• Complete all 3 module quizzes by 13 December 2023 at 11:59 PM (ET) with an average score of 80% across all quizzes.
  • Reproducible & secure workflows from the start
  • Set up data for reproducible analytics
  • Analyze data efficiently & transparently
• Complete the course endline knowledge test after completing all 3 module quizzes by 13 December 2023 at 11.59pm (ET)

Check the following link for the course tracker: Click here !

OPENING SESSION
November 29 2023, 9:30am - 10:30am (ET)
Now Closed - Recording , Slide

CLOSING SESSION - Creating a Reproducibility Package
December 13 2023, 9:30am - 10:30am (ET)
Now Closed - Recording , Slide