ISOM-330 Applied Statistics and Predictive Analytics
In this course, students learn to turn data into business insights to improve business decision making. You will develop your capability in applying statistical concepts and techniques and predictive analytics for opportunity identification and risk assessment within the context of organizational decision-making. We will begin with a review of statistical methods, including descriptive statistics, estimation, and hypothesis testing that will be used for construction, estimation, and testing of statistical models. Building on this foundation, we will cover predictive analytics topics such as nonlinear regression models, dummy variables, binary choice models, data preparation, modeling, analysis, and forecasting. Throughout the course, you will learn to use the R programming language to apply your predictive analytics skills to solve various business cases following the prescriptive analytics life cycle. You will also learn to use various presentation and visualization tools to communicate results.
Offered
Fall, Spring