Training Videos

Introduction to CART:
Part 1  Part 2  Part 3  Part 4

Advanced CART:
Part 1  Part 2  Part 3  Part 4

MARS:
Part 1  Part 2 

RandomForests:
Part 1  Part 2

TreeNet:
Part 1  Part 2  Part 3  Part 4
Download Now! Free 30 Day Trial of Salford System's Predictive Modeling Suite

Upcoming Tradeshows

  • JSM
    July 28, 2012 - August 02, 2012
    San Diego, CA, Booth TBA
  • KDD
    August 12, 2012 - August 16, 2012
    Beijing, China, Booth TBA
  • Statistical Learning and Data Mining III
    October 01, 2012
    Boston, MA
  • DMA
    October 13, 2012 - October 19, 2012
    Las Vegas, NV
  • INFORMS
    October 14, 2012 - October 16, 2012
    Phoenix, AZ
View full calendar
Home Training
Overview

Salford Systems' training courses provide a firm grounding in the theory and methodology behind each of our products, as well as practical examples illustrating both the basics and the finer points of the software. We teach you tips and tricks to help you squeeze out extra insight from your data and keep you updated on all the latest developments.

Training programs are offered throughout the year, both in-person and online. All our training programs can be customized and delivered at your location and on your own data.

 

About the Course Designer

Dan Steinberg, President and Founder of Salford Systems, is a well-respected member of the statistics and econometrics communities. In 1992, he developed the first PC-based implementation of the original CART procedure, working in concert with Leo Breiman, Richard Olshen, Charles Stone and Jerome Friedman. In addition, he has provided consulting services on a number of biomedical and market research projects, which have sparked further innovations in the CART program and methodology.

Dr. Steinberg received his Ph.D. in Economics from Harvard University, and has given full day presentations on data mining for the American Marketing Association, the Direct Marketing Association and the American Statistical Association. A book he co-authored on Classification and Regression Trees was awarded the 1999 Nikkei Quality Control Literature Prize in Japan for excellence in statistical literature promoting the improvement of industrial quality control and management.