This 3-hour online course will give you insight into the data mining process, explain models and algorithms, and give an understanding of how to match the right data mining models to the right problems.

Instructor: Deanne Larson

(2)

This 3-hour online course addresses how to scope, plan, and choose a project approach for analytics project success and clearly identify the problem and opportunities to be analyzed.

Instructor: Deanne Larson

This 3-hour course focuses on how to match the business problem to candidate algorithms, produce comparable models, choose the best performing model, and once in production, what to do to address ongoing value.

Instructor: Deanne Larson

This 3-hour online course addresses how to translate the problem statement into data sources, explore the data for relationships and recognize patterns, identify the starting inputs for the model, preparing data, and validating it for the model fitting process.

Instructor: Deanne Larson

This 3.5-hour course provides an introduction to R basics, working with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics

Instructor: Deanne Larson

This 5-hour course provides an overview of the many disciplines that make up the field of data analytics, ranging from business intelligence to data science.

Instructors: Mark Peco, Deanne Larson, & Eric Siegel