Course Details
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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
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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. Please contact Elizabeth Krieg for more information.
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.
Demonstrate Your Expertise with a Certificate
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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.
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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
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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.