Regression Analysis: Simplify Data Relationships | Google Advanced Data Analytics Certificate
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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.
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Get started with the course – 00:00
Linear regression – 11:30
Logistic regression – 26:06
Review: Introduction to complex data relationships – 33:22
Foundations of linear regression – 36:21
Assumptions and construction in Python – 45:23
Evaluate a linear regression model – 1:00:02
Interpret linear regression results – 1:09:59
Review: Simple linear regression – 1:16:27
Understand multiple linear regression – 1:18:44
Model assumptions revisited – 1:26:51
Model interpretation – 1:38:03
Variable selection and model evaluation – 1:50:18
Review: Multiple linear regression – 2:02:01
The chi-squared test – 2:05:08
Analysis of variance – 2:14:36
ANCOVA, MANOVA, and MANCOVA – 2:30:28
Review: Hypothesis testing, Part 2 – 2:41:02
Foundations of logistic regression – 2:43:03
Logistic regression with Python – 2:52:16
Interpret logistic regression results – 2:56:14
Compare regression models – 3:11:27
Review: Logistic regression – 3:15:52
Apply your skills to a workplace scenario – 3:17:57
Portfolio project wrap-up – 3:20:59
Course review: Regression analysis: Simplifying complex data relationships – 3:23:21
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Regression Analysis: Simplify Data Relationships | Google Advanced Data Analytics Certificate
https://youtu.be/W0Lhv7VNkxk