UN SIAP: Principles of Reproducible Analytical Pipelines for Official Statistics

The UN Regional Hub for Big Data and Data Science for Africa is pleased to announce that colleagues at UN SIAP will be delivering an e-Learning course Principles of Reproducible Analytical Pipelines for Official Statistics from 17 February to 14 March 2025, for African Members States. The e-learning course aims to build capacity in national statistical systems for the development and implementation of Reproducible Analytical Pipelines (RAPs) for Official Statistics (in other words, automating a statistical process using open source software, such as R). The following attachments provide more detailed information on the course:

1. Invitation letter

2. Concept Note

The course will be delivered via 5 x one-hour webinars, with weekly assessments and a practical element. The total commitment is estimated as 12-15 hours. A Certificate will be shared with those who achieve a pass (at least 70%). Since this course has a practical goal that will use R programming, a mandatory tutorial is required for participants to complete before being able to access the course.

DGs are invited to circulate this invitation across their organizations and nominate participants, who are deemed qualified for this course. Please note that the course will be delivered in English - this includes all instruction, materials, communication, and exercises.

Applicants are kindly requested to fill out the nomination form at the following link: https://forms.office.com/e/0ttdEff9pt

The deadline for receipt of nominations is Thursday 13 February 2025.

Our thanks are extended to Christophe Bontemps at UN SIAP for offering this learning opportunity.

Please obtain the relevant authorisation from within your organisation prior to enrolling on this course