1
Getting Started
Course Structure & Outline
Free
About This Series
Free
Setting Expectations
Free
2
Intro to Regression
Supervised vs. Unsupervised Learning
Free
RECAP: Key Concepts
Free
Regression 101
Free
Regression Workflow
Free
Feature Engineering
Free
Splitting & Overfitting
Free
Prediction vs. Root-Cause Analysis
Free
QUIZ: Intro to Regression
Free
3
Regression Modeling
Intro to Regression Modeling
Free
Linear Relationships
Pro
Least Squared Error
Pro
Univariate Linear Regression
Pro
CASE STUDY: Univariate Linear Regression
Pro
INTERACTIVE LAB: Linear Regression
Pro
Multiple Linear Regression
Pro
Non-Linear Regression
Pro
CASE STUDY: Non-Linear Regression
Pro
QUIZ: Regression Modeling
Pro
4
Model Diagnostics
Intro to Model Diagnostics
Pro
Sample Model Output
Pro
R-Squared
Pro
Mean Error Metrics (MSE, MAE, MAPE)
Pro
Homoskedasticity
Pro
Null Hypothesis
Pro
F-Significance
Pro
T-Values & P-Values
Pro
Multicollinearity
Pro
Variance Inflation Factor
Pro
RECAP: Sample Model Output
Pro
QUIZ: Model Diagnostics
Pro
5
Time-Series Forecasting
Intro to Forecasting
Pro
Seasonality
Pro
Auto Correlation Function
Pro
CASE STUDY: Seasonality with ACF
Pro
One-Hot Encoding
Pro
CASE STUDY: Seasonality with One-Hot Encoding
Pro
Linear Trending
Pro
CASE STUDY: Seasonality with Linear Trend
Pro
Smoothing
Pro
CASE STUDY: Smoothing
Pro
Non-Linear Trends
Pro
CASE STUDY: Non-Linear Trend
Pro
Intervention Analysis
Pro
CASE STUDY: Intervention Analysis
Pro
QUIZ: Time-Series Forecasting
Pro
6
Course Feedback & Next Steps
Looking Ahead to Part 4
Pro
Course Feedback Survey
Pro
Share the Love
Pro
Next Steps
Pro