This course introduces the fundamentals of programming with Python, with a focus on data processing using the Pandas library and its applications in statistics. The contents include an introduction to Python, basic programming, data handling, hypothesis testing, and simulation techniques such as Monte Carlo and Bootstrap. Through exercises and a term project, students will gain hands-on experience in data analysis and simulation, preparing them for research as well as practical applications in various fields.