Block 2: Applied Data Science Fundamentals

This intermediate-level module moves participants from basic data literacy to hands-on applied data science skills. It focuses on advanced data collection workflows, data management, coding basics, exploratory analysis, and professional visualization. Learners will gain practical experience with Excel, SQL, Python, R, and BI tools (Power BI/Tableau), and work with real-world open datasets from the World Bank, UN, and AfDB.

By the end of the block, participants will be able to design complex surveys, clean and analyze messy datasets, query databases, perform exploratory data analysis, and present insights through interactive dashboards. This block emphasizes building job-ready technical capacity for data-driven roles across sectors.