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Introduction to Logistic Regression With Excel & R
Welcome to the Course!
Why Learn Logistic Regression?
Logistic Regression and Data Literacy
Course Expectations
The Data Used in This Course
Course Setup
The Excel Solver
Install R and RStudio
Introducing Logistic Regression
What is a Model?
Model Equations 101
The Logistic Curve
Basic Probability
What's the Probability?
It's All About the Probability
Introducing Logistic Regression Revisited
Putting It All Together
What's the Baseline?
Goodness of Fit
Hands-On Lab #1 With Excel
Lab Instuctions
Completed Lab
Hands-On Lab #1 With R
Lab Instructions
Completed Lab
Simple Logistic Regression
Questions Before Analysis
Beating the Baseline
Nothing Is Certain
Modeling With Excel
Modeling With R
Hands-On Lab #2 With Excel
Lab Instructions
Completed Lab
Hands-On Lab #2 With R
Lab Instructions
Completed Lab
Multiple Logistic Regression
When Simple Won't Do
The Rewards of Complexity
Interaction Modeling
Categorical Data
Hands-On Lab #3 With Excel
Lab Instructions
Completed Lab
Hands-On Lab #3 With R
Lab Instructions
Completed Lab
Is Your Model Awesome?
Model Deviance
Akaike Information Criterion (AIC)
Likelihood Ratio
Prediction Evaluation
Accuracy
Sensitivity
Specificity
Adjusting Thresholds
Hands-On Lab #4 With Excel
Lab Instructions
Completed Lab
Hands-On Lab #4 With R
Lab Instructions
Completed Lab
Interpreting Your Model
What Are the Odds?
Odds Ratios
Odds Ratio Shortcut
Model Interpretation
Hands-On Lab #5 With Excel
Lab Instructions
Completed Lab
Hands-On Lab #5 With R
Lab Instructions
Completed Lab
Gotchas
Insufficient Observations
Incomplete Information
Complete Separation
Multicollinearity
Correlation With Excel
Correlation With R
Advanced Topics (R-Only)
Significant Features
Formula Syntax
Linearity of the Logit
Course Wrap-Up
Additional Resources
What Are the Odds?
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