05
Regression Analysis: Simplify Complex Data Relationships
05
Regression Analysis: Simplify Complex Data Relationships
Discover how to model variable relationships and approach business problems using various data modeling methods. This course explores essential techniques like linear regression, analysis of variance (ANOVA), and logistic regression, enhancing your data analytics skills for a successful career. This is the fifth course in the Google Advanced Data Analytics Certificate, a series designed to prepare you for an advanced data analytics role.
Course Info
Objectives
By the end of this course, you will:
- Explore the use of predictive models to describe variable relationships, with an emphasis on correlation
- Determine how multiple regression builds upon simple linear regression at every step of the modeling process
- Run and interpret one-way and two-way ANOVA tests
- Construct different types of logistic regressions including binomial, multinomial, ordinal, and Poisson log-linear regression models
Prerequisites
Prior knowledge of foundational analytical principles, skills, and tools.
Audience
Advanced
Available languages
English