Statistical Concepts in R
- Instructor Unique
- Original
- Video Training
Statistical Concepts in R explores probability, hypothesis testing, regression analysis, data distribution, and inferential statistics using R programming, enabling accurate data interpretation, evidence-based decisions, and efficient quantitative research analysis across industries.
Course Curriculum
| 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 | ||
Statistical Concepts in R


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