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R Programming: Statistical Concepts
By Skill Up
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Highlights
On-Demand course
3 hours 26 minutes
All levels
Description
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.
Learning outcome
Get a deep understanding of the R Programming: Statistical Concepts just in hours not years
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical and practical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to any internet-enabled smart device.
Why should I take this course?
3+ hours of on-demand video lectures and downloadable resources.
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
You will be able to incorporate various practical sales techniques successfully and understand your customers better.
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 |
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