Course Description
Apply statistical techniques and machine learning algorithms to historical data, uncovering future business trends. This course focuses on building robust predictive models that enable data-driven decision-making across various business domains and its correct interpretation. Students will work with real-world datasets to develop practical skills in forecasting and scenario analysis.
Course Objectives
By the end of this course, you will be able to:
- Analyze business datasets to identify patterns and trends that inform strategic decisions.
- Develop and validate predictive models using statistical and machine learning techniques relevant to business forecasting.
- Interpret and critically evaluate model outputs, articulating limitations, assumptions, and implications for business strategy.
- Design an iterative forecasting follow-through plan that measures forecast accuracy, tracks performance over time, and adjusts models based on new data and business feedback.
- Communicate forecast findings and strategic recommendations effectively to diverse business stakeholders.
Outcome Proficiency Groups
MBA 546 helps you grow in three of the five MyMBA program outcomes:
Strategic Thinking & Decision Making
Build forecasting plans that adapt as new data and business feedback arrive.
Analytics & Critical Thinking
Develop and validate predictive models using statistical and machine learning techniques.
Communication & Influence
Explain forecast findings, limitations, and recommendations to diverse stakeholders.
Where This Course Leads
The skills you build here carry forward to the MBA Capstone, where you bring all five outcome proficiency groups together to tackle a contemporary business challenge.
