R Programming

R Programming Course Overview

This R Programming course aims to give delegates the knowledge to use effective programming principles and to write code in R. R is a powerful statistical language. However, all too often practitioners even with years of experience are restrained from leveraging this powerful tool for lack of programming knowledge and skills. This course is designed to address this critical need.

From a base with little or no prior programming experience, R Programming will build your knowledge of programming concepts and constructs and train you to implement solutions confidently in R. Beginning with an introduction to the language and to RStudio, we cover most of R's data types and structures, conditional statements, loops and functions. Delegates also learn how to import and save data files, implement exceptions and error handling for robust code and, produce some common visualization charts. Finally, there is a demonstrative example of how to carry out Linear regression and two univariate data hypothesis tests, a test for a hypothesized proportion and a mean.

Please note, this is not a course in statistics but in programming. The illustrative examples are designed as demonstrations and do not discuss underlying statistics. We have a follow-up Statistics course for this.

Approach:

We believe in learning-by-doing and take a hands-on approach to training. Delegates are provided with all required resources, including data, and are expected to code along with the instructor.

Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered.

After every major topic, practical exercises are used to consolidate understanding of concepts on which we build gradually. Example solutions will be available for the delegates to take away at the end of the course.

Course Objectives

This course aims to provide the delegate with the knowledge to be able to:

• Write scripts and run them
• Use R's inbuilt functions
• Write their own functions
• Use programming principles and constructs to craft solutions in R
• Produce Charts
• Exploit existing knowledge in statistics, data science and machine learning to leverage R's powerful libraries in these domains.

Who will the Course Benefit?

This course will benefit anyone who works or intends to work with R for statistics, machine learning or data science by increasing their programming proficiency in R.