Business Data Analytics

This course provides students with a practical introduction to the core concepts of business analytics, ensuring they become familiar with descriptive, predictive, and prescriptive analytics. It is designed as a rigorous but accessible program for motivated students who want to understand how data and information streams drive today’s businesses and organizations.

The course begins with descriptive analytics, focusing on data analysis and data visualization to understand, manipulate, and evaluate complex data. It then develops the tools needed for predictive analytics, utilizing statistical techniques, data mining, and machine learning to forecast future trends and alternative actions. Along the way, students will apply prescriptive analytics by using various analytical models, such as optimization and simulation, to support decision-making. Furthermore, students will explore the growing role of Artificial Intelligence (AI) in transforming business analytics and automating complex, data-driven decisions.

Learning Outcomes

By the end of this course, students should be able to:

1. Undertake a wide range of business analytics projects using primary data sourcesor analysis
2. Apply descriptive and predictive analytics, including data visualization, statisticaltechniques, and machine learning, to evaluate complex data and forecast futurebusiness trends
3. Implement prescriptive analytical models, such as optimization and Monte Carlosimulation, to support robust decision-making alongside emerging ArtificialIntelligence applications

*Information is subject to change as instructors finalize course syllabi