Development Data
Course Listing
Women, Business and the Law
This e-learning course presents the World Bank’s influential Women, Business, and the Law (WBL) index. The course provides an overview of how the law restricts women's economic opportunities in many countries, hindering economic growth. The course explores recent literature, internationally recognized standards, the WBL methodology, and legal frameworks in 190 economies, providing insights for policy design.
- Training course /
- hours
- Development DataPeopleProsperity
Least-Cost Electrification for Energy Planning
This course introduces the Open-Source Spatial Electrification Tool (OnSSET), QGIS and the Global Electrification Platform (GEP). The program aims to discuss where grids, mini-grids or stand-alone technologies can be used to increase access to electricity in a country or region at the lowest cost by using Geospatial electrification models. The course equips participants to combine GIS data with demographic and techno-economic information.
- Training course / In-person
- 80 hours
- Development DataInfrastructure
Manage Successful Field Research
This virtual course is designed for professionals responsible for managing field research. It is intended to improve the skills and knowledge of field research practitioners, familiarizing them with best practices, critical issues in research implementation, recurring challenges, and cutting-edge technologies.
- Training course / E-learning
- 25 hours
- Development Data
Generative AI and LLMs: An Introduction
The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has revolutionized the field of natural language processing. This introductory course aims to demystify generative AI and LLMs for both technical and non-technical audiences working with statistical and other types of data in development work. It will provide a comprehensive overview of the foundational knowledge required to understand LLMs, core concepts in generative AI, and recipes and suggestions on practical applications of generative AI in different stages of statistical work.
- Training course / In-person
- 40 hours
- Development DataDigital