Regression Modeling in Practice
About this course
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.
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · All Levels
More courses like this
Mastering Jenkins CI with Amazon AWS: Build DevOps Pipeline
Udemy · MOOC / Non-credit
PL-500: Microsoft Power Automate RPA Developer Practice Test
Udemy · Certificate
edX
Finding Your Data Analyst Role
edX · MOOC / Non-credit
PL-200 Practice Test: Power Platform Functional Consultant
Udemy · Certificate
More courses from Coursera
Coursera
TCP/IP and Internet
Birla Institute of Technology & Science, Pilani · MOOC / Non-credit
Coursera
Agile Project Management
University of Colorado Boulder · Master's Degree
Coursera
Conservation and Sustainable Development
University of Michigan · MOOC / Non-credit
Coursera
Extra-Galactic Astronomy
University of Cambridge · MOOC / Non-credit