This course provides a practical introduction to quantitative research methods for doctoral students in business, focusing on how data informs managerial and strategic questions. Students learn core statistical concepts, practice hands-on programming in R and Python, and study real examples from business research. Topics include probability, regression, hypothesis testing, and introductory machine learning for predictive and causal analysis. The course also emphasizes effective communication of quantitative findings through clear interpretation and data visualization. By the end, students will be prepared to evaluate empirical research and begin designing quantitative components of their own projects.