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Jordan Bakerman, Michael J Patetta, and Marc Huber

This program is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes. If modeling data for business outcomes is relevant in your job role or industry, this certificate is a valuable indication of your proficiency.

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What's inside

Three courses

Introduction to Statistical Analysis: Hypothesis Testing

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. It covers t tests, ANOVA, linear regression, and a brief introduction to logistic regression.

Regression Modeling Fundamentals

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. It covers t tests, ANOVA, and linear regression, with a brief introduction to logistic regression.

Predictive Modeling with Logistic Regression using SAS

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. It discusses selecting variables and interactions, recoding categorical variables, assessing models, treating missing values, and using efficiency techniques for massive data sets.

Learning objectives

  • Perform anova, regression, and logistic regression analysis with one or many inputs
  • Prepare inputs for predictive models
  • Train, validate, and evaluate statistical models

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