Regression Analysis Simplify Complex Data Relationships | Google Advanced Data Analytics |Course 5
This is the fifth of seven courses in the Google Advanced Data Analytics Certificate. Data professionals use regression analysis to discover the relationships between different variables in a dataset and identify key factors that affect business performance. In this course, you’ll practice modeling variable relationships. You'll learn about different methods of data modeling and how to use them to approach business problems. You’ll also explore methods such as linear regression, analysis of variance (ANOVA), and logistic regression.
Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.
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
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Course 1 • Foundations of Data Science Quiz Answers |...
Course 2 • Get Started with Python All Quiz Answers |...
Course 3 • Go Beyond the Numbers Translate Data into ...
Course 4 • The Power of Statistics All Quiz Answer | ...
Course 6 • Regression Analysis Simplify Complex Data ...
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