How can real-time financial data transform economic research and policy? This full-day BERD Academy workshop explores how high-frequency data – from credit card transactions to digital payments – offers new insights into behavior, regional trends, and macro dynamics, while fostering exchange between researchers and data providers.
Attendance is free.
Large Language Models (LLMs) and Generative AI offer powerful support across the research process – but choosing the right tools and using them effectively can be overwhelming. This course provides an overview of current AI tools and how they can be integrated into research workflows, from planning and literature review to data analysis and communicating results.
You will explore fundamentals, prompting techniques, ethical considerations, and the transparent disclosure of AI use. The course includes two live, interactive sessions and a hands-on exercise between meetings.
Attendance is free.
The BERD Academy offers a range of self-paced courses designed to empower learners with essential data science and machine learning skills on their own schedule. These include foundational topics like “Introduction to Machine Learning (I2ML)”, which provides a comprehensive introduction to supervised learning, and practical programming courses such as “Data Science with Python” and “Data Science with R” for hands-on coding experience. Advanced learners can explore cutting-edge fields through courses like “Deep Learning for NLP” and “AutoML”, featuring state-of-the-art algorithms and techniques. Each course includes rich resources such as video lectures, slides, exercises, and quizzes, ensuring an engaging and flexible learning experience.
