R Training Course - (Statistical Analysis with Rlang)

Who should attend

Analysts, budding data scientists and software developers who want to explore the vast range of analytical and graphical capabilities of R.

Prerequisites

No previous experience of programming is required although familiarity with another programming language would be helpful. Some experience of basic statistical analytical methods (for instance using Microsoft Excel) would also be useful but is not essential.

Live, instructor-led online and on-site training

We appreciate that you need flexibility to fit in with new working situations - whether you're an individual, part of a distributed team, or simply have projects and deadlines to meet. 

Our remote training can take place online in a virtual classroom, with content split into modules to accommodate your scheduling challenges and meet your learning goals. Get in touch today to find out how we can help design a cost-effective, flexible training solution.

As soon as it's safe, we'll return to also offering the on-site custom training courses and programmes upon which we've built our reputation.

Course syllabus

Introduction to R

Overview of the R environment
Getting help
Simple maths

Data in R

Loading and saving data
Types of R object
Making R data objects
Cross tabulation
Working with data objects

Statistical analyses using R

Describing data
Data distribution and sampling
Basic hypothesis testing
Advanced analyses – ANOVA and regression

Using R for graphical summary

Producing graphs using R
Customising graphs
Adding lines, points, symbols and text to graphs
Working with colour
Exporting graphs

Custom solutions using R

Custom functions
Writing and saving scripts
Object classes
Loops and conditional statements
Making the most of results
Developing custom R solutions