Booking options
£25
£25
On-Demand course
3 hours 26 minutes
All levels
Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This R Programming: Statistical Concepts has been specially designed to help learners gain a good command of R Programming: Statistical Concepts, providing them with a solid foundation of knowledge to become a qualified professional.
Through this R Programming: Statistical Concepts, you will gain both practical and theoretical understanding of R Programming: Statistical Concepts that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
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 |
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