This course introduces the fundamental concepts of descriptive statistics and probability theory, including events, independence, Bayes' rule, and continuous random variables such as the normal and Student's t distributions. Students will also apply statistical analysis techniques?such as hypothesis testing, confidence intervals, and correlation analysis' to interpret data rigorously and support evidence-based conclusions. By the end of the course, participants will have a solid foundation for data-driven decision-making in business and technology contexts.