Des Chiffres et des Jeunes COVID data project

19 October 2022

Yamoussoukro | Development Gateway, led by SBC4D

Des Chiffres et Des Jeunes (DCDJ) is a program led by Development Gateway (DG) and funded by the MCC-PEPFAR Data Collaboratives for Local Impact (DCLI) Program. DCLI and aims to empower individuals, communities, and organizations, including stakeholders in subnational areas, to use data to improve lives, contribute to ending HIV/AIDS, and help address local development needs and priorities. The DCDJ program aims to bolster the subnational supply and usage of data for citizens of Côte d’Ivoire, engage youth as champions of these services, and fuel innovation to address rising data and information needs.

Des Chiffres et des Jeunes COVID data project

DCDJ’s mainstay is the Fellowship program, implemented together with local partner SEJEN. Ivorian youth apply to complete an 8-week data science training program at Ecole Nationale Supérieure de Statistique et d’Economie Appliquée d’Abidjan (ENSEA) in Abidjan, then are placed in government organizations, NGOs and, health organizations working on HIV/AIDS to apply their skills.

Our solution

We collaborated with SBC4D to redevelop our entire training course series into a single online course that could be delivered remotely, in either English or French.

Learning outcomes for the course include:

  • Understand, and have practical experience with, the structure and design of machine-readable data files.
  • Use Excel to investigate and manipulate source data to learn its metadata, shape and robustness, and employ these methods to develop a structural metadata schema.
  • Learn and apply a basic set of methods to restructure messy source data into machine-readable CSV files using Microsoft Excel.
  • Learn, and have practical experience with writing, the basic syntax and approach to coding in Python.
  • Integrate and apply methods from the core data analysis libraries of Numpy, Pandas and Matplotlib to investigate and manipulate source data.
  • Perform techniques in analysis and coding, using the Whyqd data wrangling package, to create a structured, JSON-formatted method, for restructuring data into a standard schema.

Outcomes

We delivered our course remotely to DCDJ participants in October 2022, handing continuation of the project back to SBC4D.

Salle de Formation de l'Ecole Normale superieure d'Abidjan Côte d'Ivoire. Kongraoul, sur Wikimedia Commons.

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