This course provides a comprehensive foundation in statistics and data science, equipping participants with the skills to analyze and interpret data effectively. Topics include data collection and exploration, probability theory, statistical inference, and advanced methods like regression, classification, and clustering. Students will also delve into time series analysis and machine learning techniques for data science. Ideal for aspiring data scientists, this course offers a deep understanding of both statistical theory and practical applications in data-driven decision-making.