This course provides a comprehensive introduction to probability theory and statistics, specifically tailored for data science applications. Students will gain a solid foundation in essential concepts and techniques in probability and statistics, as well as learn how to apply them to real-world data analysis and modeling. Through hands-on exercises and practical examples, participants will develop a deep understanding of statistical inference, hypothesis testing, probability distributions, regression analysis, and more. By the end of the course, students will be equipped with the necessary knowledge and tools to effectively analyze and interpret data, make informed decisions, and confidently tackle data-driven problems.