Module 01: Introduction to the Course | |||
Introduction | 00:03:00 | ||
Module 02: Simple Linear Regression | |||
Install R, RStudio and Basic Functionality | 00:08:00 | ||
Basics of Linear Regression | 00:03:00 | ||
Basics of Linear Regression continued | 00:03:00 | ||
Module 03: Linear Regression Analysis | |||
Linear Relationships | 00:09:00 | ||
Line of Best Fit, SSE and MSE | 00:05:00 | ||
Linear Regression Analysis Continued | 00:02:00 | ||
Regression Results and Interpretation | 00:11:00 | ||
Predicting Future Profits | 00:13:00 | ||
Statistical Validity Tests | 00:09:00 | ||
Statistical Validity Discussion | 00:07:00 | ||
Module 04: Multiple Linear Regression | |||
Multiple Linear Regression | 00:06:00 | ||
Importing the data | 00:04:00 | ||
Correlation Matrix and MLR | 00:08:00 | ||
MLR Results and ANOVA | 00:07:00 | ||
The Best Model? | 00:05:00 | ||
Interaction Terms and Validity Testing | 00:18:00 | ||
ANOVA and Predictions | 00:18:00 | ||
Module 05: Non-linear Regression | |||
Non-linear Regression (and Recap) | 00:07:00 | ||
Logistic Regression Overview | 00:22:00 | ||
Logistic Regression: Odds, Logs and Poisson | 00:13:00 | ||
Logistic Regression: Fitting the Models in R | 00:24:00 | ||
Assignment | |||
Assignment – Statistical Concepts in R | 6 days, 3 hours | ||
Order Your Certificate | |||
Order Your Certificate QLS | 00:00:00 |
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