Overview
In the era of big data and digital transformation, economists are increasingly relying on programming tools to conduct research, analyze large datasets, model economic behavior, and inform policy decisions. Among these tools, Python has emerged as a leading language due to its simplicity, flexibility, and powerful data analysis libraries.
This webinar— “Applications of Python in Economics”—is designed to introduce young and early-career economists to the practical use of Python in economic research and policy analysis. Through an expert-led session and case demonstrations, participants will learn how Python can be applied to econometrics, data visualization, forecasting, and simulations—skills that are increasingly demanded in academia, development institutions, and the private sector.
Objectives
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Demonstrate Practical Use Cases
Introduce participants to how Python is applied in real-world economic analysis, including macroeconomic modeling, labor market studies, and public finance. -
Enhance Digital Skills for Economists
Promote the integration of coding and data science into economic training and practice. -
Showcase Tools and Libraries
Provide an overview of Python libraries (e.g., Pandas, NumPy, Matplotlib, Statsmodels, Scikit-learn) useful for economists. -
Promote Interdisciplinary Thinking
Highlight the intersection between economics, data science, and technology in solving complex economic problems. -
Encourage Further Learning
Motivate participants to pursue advanced training in Python and related tools for professional growth and relevance in the digital economy.
Who should attend?
Students and Young Economists
Interested in economic modeling, data analysis, and research.
Early-Career Researchers and Policy Analysts
Working in think tanks, ministries, and international organizations.
ICCE Members and Certification Candidates
Looking to build modern, tech-driven competencies.
Academics and Lecturers
Integrating programming into economics curricula.
Development Professionals and Data Enthusiasts
Exploring the use of Python in socio-economic development work.
Registration:
Neo Letsoela Ramahapu (Lesotho)
Strategic Information Manager,
Population Services International Lesotho
Neo Letsoela Ramahapu (Lesotho)
Strategic Information Manager,