Regression Modeling in Practice

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Course Overview

What You'll Learn

  • Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship.
  • You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model.

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.

Course FAQs

Is this an accredited online course?

Accreditation for 'Regression Modeling in Practice' is determined by the provider, Wesleyan University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

Can this course be used for continuing education credits?

Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.

How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Regression Modeling in Practice' on the Wesleyan University online class platform, where you can complete your registration.