The course begins with an overview of descriptive statistics, which includes both graphical and numerical methods for summarizing data. Then we provide a review of essential steps of inferential statistics, which include random variables, estimation, and hypothesis testing. The second half of the course is devoted to predictive analytics, including simple linear regression, multiple linear regression, and a brief introduction of experimental design. Throughout, we focus on basic concepts and the practical use of these methods in management environments. This course provides the background in statistical methods that is required for conducting research in a doctoral program in business.