Skip to main content

Introduction to R Programming Language

TRAINING COURSE

Introduction to R Programming Language

Details

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques, and is highly extensible. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

In this course you will learn:

  • How to use R studio and Jupyter Notebooks to write R code.
  • R syntax, data types, operators and functions
  • How to analyze data with R.
  • Display your results with R visualizations

Delivery Methods

Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.

Delivery Method Duration Price (excl. VAT)
Classroom 3 days ZAR 8,250.00 Get a Quote
Live Virtual Training 3 days ZAR 6,750.00 Get a Quote

Discounts Available

Save up to 10% by booking and paying 10 business days before the course.

Brochure:

Download Brochure


Information may change without notice.

Audience

  • Data Scientists
  • Programmers
  • BI analysts

Pre-Requisites

Basic Programming, or intermediate excel or similar understanding.

Course Outline / Curriculum

Section 1: Introduction to Basics
Take your first steps with R. Discover the basic data types in R and assign your first variable. 

Section 2: Vectors
Analyze gambling behaviour using vectors. Create, name and select elements from vectors. 

Section 3: Matrices
Learn how to work with matrices in R. Do basic computations with them and demonstrate your knowledge by analyzing the Star Wars box office figures. 

Section 4: Factors
R stores categorical data in factors. Learn how to create, subset and compare categorical data. 

Section 5: Data Frames
When working R, you’ll probably deal with Data Frames all the time. Therefore, you need to know how to create one, select the most interesting parts of it, and order them. 

Section 6: Lists
Lists allow you to store components of different types. Section 6 will show you how to deal with lists. 

Section 7: Basic Graphics
Discover R’s packages to do graphics and create your own data visualizations.

Schedule Dates and Booking

There are currently no scheduled dates.

Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below, and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.

Add me to the waiting list

Should you need this course urgently, the following options are available:

  1. Pay for 6 delegates (whether you have them or not) and we will schedule the course as soon as possible.
  2. If you have fewer delegates and cannot pay for 6, we can negotiate a shortened course where some of the time will be spent in blended learning - watching videos and doing tutorials and exercises with some contact time with the trainer. We would want to discuss what your core needs are so that we cover those aspects. You need to have paid for 3 delegates at least.
Submit Enquiry