This course explores elements of statistical forecasting with applications in business decision-making. The course is project-based and relies on hands-on activities in statistical software and applied data analyses. Students analyze time series data from by a wide range of applications, including finance, marketing, hospitality management, and human resources.

Learning Objectives

Upon completion of this course, students will be able to:

1. Explore time series data with appropriate numerical summaries and visualizations;
2. Build, fit, and evaluate linear regression models;
3. Utilize dynamic linear models for time series analysis;
4. Develop basic software skills for data analysis using the R programming language.

Course Syllabus

Taught in Fall 2017, Fall 2018