This course will equip students with technical foundations in data science and AI while focusing on fairness, bias mitigation, and the responsible design and deployment of AI systems. The topics include basics of data science, Python for data science, essential Python packages for data science (Pandas, Numpy), data collection, data cleaning, exploratory data analysis, data visualization, data aggregation and manipulation, statistical analysis and regression, and three special data topics (geospatial data, network data, and text data), and GenAI's role in data science.
Weekly schedules for EST 389, spring, 2026
What is data science: slides
Data collection: slides
Essential data science packages in python: slides | demos
Statistical analysis: slides | demos
Special data topic - geospatial data analysis: slides | demos
Special data topic - network data analysis: slides | demos
Generative AI and data science: slides | demos