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Introduction to Logistic Regression With Excel & R
Welcome to the Course!
Why Learn Logistic Regression? (8:20)
Logistic Regression and Data Literacy (7:49)
Course Expectations (10:54)
The Data Used in This Course (7:02)
Course Setup
The Excel Solver (1:47)
Install R and RStudio (7:38)
Introducing Logistic Regression
What is a Model? (7:57)
Model Equations 101 (11:44)
The Logistic Curve (2:53)
Basic Probability
What's the Probability? (6:26)
It's All About the Probability (5:28)
Introducing Logistic Regression Revisited
Putting It All Together (6:03)
What's the Baseline? (10:24)
Goodness of Fit (17:36)
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 (7:24)
Beating the Baseline (2:18)
Nothing Is Certain (4:16)
Modeling With Excel (4:20)
Modeling With R (3:26)
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 (3:18)
The Rewards of Complexity (2:40)
Interaction Modeling (6:31)
Categorical Data (4:11)
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 (9:18)
Akaike Information Criterion (AIC) (3:03)
Likelihood Ratio (4:41)
Prediction Evaluation (3:37)
Accuracy (5:58)
Sensitivity (3:41)
Specificity (3:50)
Adjusting Thresholds (4:01)
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? (4:38)
Odds Ratios (7:01)
Odds Ratio Shortcut (2:36)
Model Interpretation (11:54)
Hands-On Lab #5 With Excel
Lab Instructions
Completed Lab
Hands-On Lab #5 With R
Lab Instructions
Completed Lab
Gotchas
Insufficient Observations (3:58)
Incomplete Information (4:41)
Complete Separation (3:39)
Multicollinearity (15:24)
Correlation With Excel (4:14)
Correlation With R (3:01)
Advanced Topics (R-Only)
Significant Features (11:29)
Formula Syntax (11:15)
Linearity of the Logit (9:02)
Course Wrap-Up
Additional Resources
Akaike Information Criterion (AIC)
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