On-Demand Webinar

The Data Scientist Learning Journey: Sequential Data Topics

This webinar series is designed for individuals who want to elevate their data science skills using SAS® and keep pace with the most innovative technology.

About the webinar

The analysis of time series and other sequences extends traditional, predictive modeling and machine-learning approaches.

There is information in the order of the data.

Join this webinar to learn about the SAS tools and approaches that have been developed for analysts to extract, model and forecast sequence information.

Why attend?

  • Learn how to mine databases to identify sequence, signal components and extract new features.
  • Discover how to automatically generate and select models for time series in a large-scale forecasting system.
  • Discuss how to specify, estimate and generate forecasts for time series from ARIMAX, Bayesian and machine-learning algorithms.

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About the Experts

Catherine Truxillo
Director of Analytical Education, SAS

Catherine Truxillo has written or co-written SAS training courses for advanced statistical methods, including: multivariate statistics, linear and generalized linear mixed models, multilevel models, structural equation models, imputation methods for missing data, statistical process control, design and analysis of experiments, and cluster analysis. She also teaches SAS courses using SAS/IML®, SAS® Enterprise Guide®, SAS® Enterprise Miner™, SAS Forecast Studio and JMP® software.

Chip Wells, PhD
Senior Manager, Analytical Education, SAS

Chip Wells has more than 20 years of experience in implementing time series, predictive modeling and discrete time survival analyses using the SAS programming language and SAS solutions. He instructs and consults with analysts from the federal government and the financial, health care and transportation industries. Wells is the co-author of Applied Data Mining for Forecasting Using SAS.