Proper analytic training is essential to get the most out of your modeling and data analysis efforts. We provide standard and customized training courses in marketing analytics, modeling, and data analysis, as well as analytic software tools. Each course can be tailored to your needs and further customized by having your data integrated into the course materials. We also offer customized modeling workshops to help get your modeling efforts off the ground and begin building marketing models quickly. Our course offerings can be found on this page.

For more information, please contact us about pricing and delivery options.

Introduction to Predictive Modeling and Data Mining

This short course gives an overview of predictive modeling and how it can be used effectively in an organization. We describe some common uses of models, the importance of data extraction and data quality for building models, common modeling techniques, software tools, and some challenges and pitfalls to be aware of when starting a modeling project. The course is useful for management and executives who want to better understand how modeling can help their organization, and as an introductory course for analysts new to predictive modeling. 2-3 hours.

Introduction to Using R

This course provides users new to R an overview of the R language. We cover the basics of R programming, data manipulation, graphics, and data analysis. The course also reviews technical aspects of R installations, as well as key efficiency concepts to optimize R programs. It is a hands-on course filled with real data and examples, case studies, and in-class mini projects. Knowledge of basic analytics and programming are assumed. 2 days.

R for SAS Users

Many R users are new to R, but not new to analytic programming in general. SAS users will find that R has some similarities, but is very different in many ways and requires a different mindset to master. Once the basic differences are understood, however, SAS users will find the power and flexibility of R readily apparent. Knowledge of SAS and basic data analysis concepts are assumed. 2 days.

Predictive Modeling and Data Mining with R

This course covers more advanced topics in using R for predictive modeling and data mining. We cover regression modeling including logistic regression, diagnostics and prediction, generalized linear models, and data mining procedures such as trees and neural nets, and more. Add-on R packages such as MASS, party, and nnet that include many useful statistics and modeling functions are covered. This course is a must for statisticians and modelers who are new to R. Knowledge of the R language, basic statistics, and concepts of predictive modeling are assumed. 1 day.

Introduction to Marketing Analytics

All marketing professionals, whether management, business analysts or statistical analysts need to understand the data available to them and how to make the most effective use of it. In this course we discuss the basic elements of performing quantitative analysis and modeling for marketing and customer relationship management. The course develops an understanding of the data available to marketers and its uses and limitations. Common and advanced methods for measuring performance of marketing efforts through metrics, experimentation and dashboards are described. The course also introduces modeling techniques useful in predicting customer behavior and optimizing marketing efforts. 2 days.