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Data Analytics

May 8-9, 2023 | UT Campus | $2,950

  • ANALYZE AND FORECAST USING LARGE DATA SETS

    Gain confidence in building reliable data analyses to make projections of business intelligence and performance. Utilize the fundamental analytical tool - regression - for discovering, analyzing, and forecasting relationships. Acquire a solid understanding of the methods, using intuitive graphical approaches to explain and motivate regression and forecasting models.

ENROLL IN THIS COURSE

Upcoming Sessions

Class Details

Business Analytics

Date

05/08/23 - 05/09/23

2 Days

Instructors

Thomas Sager

Thomas Shively

 

Location

Rowling Hall,

Room Comal

UT Campus

Data Analytics

Business Analytics

Date

05/08/23 - 05/09/23

2 Days

Instructors

Thomas Sager

Thomas Shively

 

Location

Rowling Hall,

Room Comal

UT Campus

Class

Concentration

Date

Location

Instructors

Data Analytics

Business Analytics

05/08/23 - 05/09/23

2 Days

Rowling Hall,

Room Comal

UT Campus

Thomas Sager

Thomas Shively

 

What You'll Learn

Forecasting Models

  • Discover, analyze, and forecast relationships among large data sets (“Big Data”)
  • Analyze case studies to gain a thorough consideration of the models applications and gain confidence when using data to make analyses, forecasts, and projections
  • 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
  • Random samples
  • Random walks
  • Moving averages

 

Regression Analytics

  • Apply regression to past relationships looking for trends, seasonal patterns, and data correlations that can predict the future reliably
  • ARIMA (Autoregressive Integrated Moving Average)
  • Regression case studies
  • Autoregression

 

Evaluate and Present Findings

  • Develop the acumen to competently evaluate findings and analyses presented by others
  • Interact with data executives on the topic of data-driven business intelligence

 

Attending this Course

  • Individuals

    This course is designed for professionals with limited to moderate knowledge of statistics who want a refresher in the tools and models in practical application.
  • Teams

    Organizations often send pairs or small teams, to support the launch of new initiatives.
  • Requirements & Credit

    There are no prerequisites for this course. Participants earn 1.4 CEUs and/or 14 CPEs for this course, as well as a certificate of completion. Our classes are available for university credit.
Practical Even for Non-Experts
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.
Buildings on the University of Texas campus.

INSTRUCTORS

  • Thomas Sager
    Thomas Sager Headshot
    Thomas Sager

    Professor of Statistics, Information, Risk & Operations Management

    Learn More
  • Thomas Shively
    Thomas Shivley headshot
    Thomas Shively

    Professor of Statistics, Information, Risk & Operations Management

    Learn More

Demonstrate Your Expertise with a Certificate

  • Reimbursement Options

    Learn more about course credits and options for course reimbursement. Get tips on the best way to approach your manager and download a customizable template to facilitate making the ask.
  • Course Location

    In person courses take place at the AT&T Executive Education and Conference Center and adjoining Rowling Hall on the UT campus in Austin. These world-class facilities provide a comfortable and convenient learning environment, with direct access to the 40 acres of campus and within walking distance of downtown Austin. Live online and on-demand course options are available for many courses.

Resources

  • Image of a brain and lights.

    How AI and Machine Learning Transform Business Decision-Making

    Learn how these technologies are being integrated into and often entirely transforming everyday business processes.
  • The Science Behind Acquiring Developing, and Retaining Top Talent

    Learn how organizations are using big data combined with a people-analytical approach to compete and succeed in the marketplace.

Contact Us