This course provides students with an extensive exposure to causal inference, causal machine learning, and selected topics in natural language processing and reinforcement learning, with a heavy emphasis on practical applications. Topics include potential outcome, matching, regression discontinuity, instrumental variables, difference-in-differences, synthetic control, topic modeling, multi-armed bandit.