Data Science Project Management

​Join us and learn how to plan, organize, execute, and manage successful data science projects, from problem definition and exploratory data analysis (EDA) to model development, evaluation, collaboration, and final submission. Using practical examples from Zindi competitions, participants will discover how to avoid common mistakes, manage experiments, and build reproducible machine learning workflows.