Statistical Computing with R Programming Language: a Gentle Introduction

Short course

Online

Free

Description

  • Type

    Short course

  • Level

    Intermediate

  • Methodology

    Online

  • Class hours

    8h

  • Duration

    Flexible

  • Start date

    Different dates available

  • Virtual classes

    Yes

This short course (6 to 8 hours) provides a gentle introduction to the R software and programming environment.
The course is free, and delivered entirely online, so you can work at your own pace at whatever time suits you.
Although the tasks focus on examples from the biosciences it's suitable for anyone who wants to learn the basics of R and computer programming in general.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

On completing the course you'll understand how to:
manipulate data within R
perform basic data analysis procedures
create plots

This short course is for anyone who wants to learn the basics of R, and computer programming in general, although the tasks focus on examples from the biosciences.
It's suitable for undergraduates, graduates and researchers from any field that uses statistical computing.

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 13 years

Subjects

  • Computing
  • Programming
  • Data Types
  • LanguageGreek
  • R Programming
  • R
  • R Programming Language
  • R software
  • Statistical Computing
  • Bioconductor

Course programme

The course is made up of five sections:

  1. Introduction and basics
  2. Variables and data types
  3. Inbuilt functions
  4. Data frames
  5. Plotting

Course materials are taught using pdf documents and videos, with quizzes and assignments provided to test your knowledge.

It should take you approximately 6-8 hours in total to work through the material.

This course provides a foundation for more advanced topics and techniques.

R is an open-source software environment for statistical computing that is rapidly becoming the tool of choice for data analysis in the life sciences and elsewhere. It's developed by a large international community of scientists and programmers and is at the forefront of new developments in statistical computing.

Additionally, R is the foundation of Bioconductor, a similar open-source project focused on the development of bioinformatics analysis tools. Bioconductor rose to prominence when it became the standard environment for the analysis of microarray gene expression data, but it has maintained and extended this position with the advent of new technologies and the integration with different types of ‘omics data.

Understanding R's basic functionality is of benefit to undergraduates, graduates and researchers across diverse fields.

Statistical Computing with R Programming Language: a Gentle Introduction

Free