MB 517 - Predictive Analytics

Through case studies and practical applications, students explore the use of predictive analytics in areas such as customer behavior forecasting, financial risk management, and operational optimization. By the end of the course, students gain hands-on experience using predictive analytics software and tools to provide actionable insights that support strategic decision-making in business.

Prerequisites & Notes
MB 500 and MB 510

Course Learning Objectives
Upon completion of this course, you should be able to do the following:

• Apply predictive analytics techniques to analyze historical data and forecast future trends.
• Evaluate the effectiveness and accuracy of predictive models in various business scenarios.
• Utilize statistical and machine learning algorithms to generate business insights.
• Implement predictive analytics solutions using industry-standard tools and software.
• Interpret and present predictive analytics results to support data-driven decision-making in business.