Business Intelligence & Decision-Making

This course builds on foundational concepts in statistics and business analytics to explore more intermediate tools and techniques for data-driven decision-making and equips students with the skills and tools necessary to solve complex business problems using business intelligence. Throughout this course, students will deepen their ability to extract insights from complex datasets and apply analytical
reasoning to business problems. Key topics include predictive and prescriptive analytics, data modeling and forecasting techniques, decision trees, and regression analysis, and data storytelling. Students will gain hands-on experience understanding key performance indicators (KPIs) and business dashboards through the use of contemporary analytics software like Tableau and Microsoft Power BI to visualize data and communicate actionable insights. Real-world case studies and applied projects will give students the opportunity to analyze business problems, make evidence based recommendations, and present their findings using visual and written formats. Emphasis will be placed on ethical data usage and common pitfalls in analytics. (A $100 fee for MS Excel 365 Desktop Subscription is required for this course.)