Who should attend
This introductory level program is ideal for middle and upper managers, analysts, project leaders, and others who would like to gain an overview of the concepts and capabilities of business analytics.
About the course
Use data-driven approaches to promote productivity and growth
Designed for managers with limited exposure to analytics, this program describes the use of descriptive, predictive, and prescriptive analytics to solve business problems and improve organizational decision making. Learn analytics best practices used by the world’s top companies to develop opportunities for innovation and growth. Gain hands-on experience working with Excel tools for obtaining analytics-based solutions.
Benefits for you
- Understand what analytics is, how it is applied across diverse industries, and how it can be applied to your organization
- Learn how analytics can generate new business insights and opportunities
- See how analytics can mitigate risk, uncertainty and process variability
- Identify challenges in developing analytics strategies
- Experience how spreadsheet models can help solve challenging decisions
- How analytics is transforming organizational decision making and innovation
- Pitfalls and payoffs for business
- Descriptive analytics: what data to collect and what it is telling you, data visualization techniques, quantifying your data, data variability, dealing with limited data
- Predictive analytics: foreseeing what is likely to occur based on what has happened in the past, data mining to predict customer demand, deploying predictive analytics initiatives
- Prescriptive analytics: understanding data to make better decisions, “what if” scenario analysis, minimizing process variability and the "flaw of averages," outcome optimization
- Best-in-practice analytics methods
- Implementation challenges and getting started
Online program format
This program is delivered online and consists of various learning formats. Approximately 50%-67% of the time will consist of live instructor-led sessions or small-group discussions, and the remaining 33%-50% will consist of individual hands-on Excel-based skills sessions with the support of the program instructors.
Tim Huh is a full professor in the Sauder School of Business at the University of British Columbia. His current research interests include operations management, inventory control, supply chain management and dynamic pricing. He has worked with companies in the semiconductor industries, health c...
BS, Mathematics (Loyola University Chicago), MS, Operations Research (Georgia Institute of Technology), PhD, Industrial Engineering (University of Pittsburgh) Associate Professor, Operations and Logistics Division Research Interests Stochastic optimization Simulation Medical Decision Making an...
Videos and materials
Read more about Business Analytics
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.