Data Analytics

Discover, analyze and forecast relationships among large data sets (“Big Data”).

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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.

This class is available for university credit. Please contact Lynn Slattery at or 512.471.5893 for more information.

Business Analytics

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 lunch break.

Austin, Texas

Enjoy proximity to the vibrancy of the campus and downtown Austin, and the innovative, business-friendly environment of the city.


  • Apply regression to uncover trends, patterns and data correlations
  • Gain confidence when using data to make analyses, forecasts and projections
  • Develop the acumen to competently evaluate the findings and analyses presented by others
  • Interact with data executives on the topic of data-driven business intelligence
  • Analyze case studies to gain a thorough consideration of the models applications


  • Forecasting models
  • Random samples
  • Random walks
  • Autoregression
  • Moving averages
  • ARIMA (Autoregressive Integrated Moving Average)
  • Regression analytics
  • Regression case studies

Who Attends

  • Those with a small to moderate working knowledge of statistics
  • Those seeking a refresher of the tools and models in practical application

Additional Information

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: 1.0
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.

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Thomas Sager

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.

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Thomas Shively

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.

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More Testimonials

  • "Great intro to forecasting and regression."

    - Nathaniel Caulum, MDP Manufacturing Engineer, Applied Materials

  • "Professor Shively is very active and interactive in the class. Keeps students engaged."

    - Deepshikha Shekhawat, Business Intelligence Analyst, Applied Materials Inc. (AMAT)

  • "I left with a smile."

    - Vineesh Kapoor, Manager of Strategic Planning, Emerson Process Management

  • "Dr. Shively was very clear and concise with his materials which made it easy to understand."

    - William Clark, Sr. Strategic Pricing Manager, AT&T

Upcoming Sessions

Data Analytics

Price: $2,950.00


05/09/22 - 05/10/22

2- Days

Rowling Hall 300 W Martin Luther King Jr Blvd Austin, TX 78701, Room Comal

Thomas Sager
Thomas Shively