Discover, analyze and forecast relationships among large data sets (“Big Data”).
Gain confidence in building reliable data analyses to make projections of business intelligence and performance. Utilize the fundamental analytical tool for discovering, analyzing and forecasting relationships—regression. Apply regression to past relationships, looking for trends, seasonal patterns and hidden correlations that can predict the future reliably. Model customer retention rates, develop an optimal bidding strategy in a sealed bid process, hedge your firm’s revenue, or forecast future profitability of individual customers, monthly sales, or daily stock prices by charting a successful course with regression and forecasting methods. Acquire a solid fundamental understanding of the methods, using intuitive graphical approaches to explain and motivate regression and forecasting models.
Explore the ins and outs of data analytics to gain perspective and experience with the complexities of “Big Data” in the business and organizational context.
Two-day Concentrated Program
Registration begins at 8:00 a.m. and class runs 8:30 – 4:30 both days with a one-hour networking lunch included.
Enjoy proximity to the vibrancy of the campus and downtown Austin, and the innovative, business-friendly environment of the city.
CEUs: Participants earn 1.4 CEUs and/or 14 CPEs for this course. A certificate of completion will be presented from Texas Executive Education.
Course Credits: 1.00
Hotel Information: Texas Executive Education classes qualify for discounted hotel room rates at the AT&T Executive Education and Conference Center on a limited basis. Discount code will be provided on the course materials page after class registration is complete.
Tom Sager received his PhD in statistics from the University of Iowa, and taught at Stanford University prior to his current appointment at The University of Texas at Austin. Tom has written articles on statistics from both applied and theoretical standpoints, including research on insurance companies, air pollution, law, auditing, quality, and mathematics.
Dr. Tom Shively is a Professor of Statistics and the Joe B. Cook Professor of Business in the McCombs School of Business at The University of Texas at Austin.
Both professors were clear, knowledgeable and kept things practical and basic enough for those of us who aren't experts. Case studies were very helpful.
St. Jude Medical, Inc.
05/08/17 - 05/09/17
AT&T Executive Education & Conference Center
1900 University Avenue
Austin, TX 78705
Thomas SagerTom Shively
11/06/17 - 11/07/17