Data Analytics

Business Analytics

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

Overview Benefits Topics Who Attends Additional Information Faculty Sessions Print this Page


Overview

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.

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 networking lunch included.

Austin, Texas

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


Benefits

  • 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

Topics

  • 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

Prerequisites: None
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 via email after class registration.


Faculty

Thomas Sager

Tom Sager was raised and educated in Iowa. He served in the Army as a trumpet player during the Vietnam War.

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Tom 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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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.

-Zach Ainsley

St. Jude Medical, Inc.

Course Details

Price: $2,950.00

Data Analytics

Date
Duration
Location
Instructor

10/31/16 - 11/01/16

2-Days

AT&T Executive Education & Conference Center 1900 University Avenue Austin, TX 78705

Thomas Sager
Tom Shively