Statistical Computing with R Programming Language: a Gentle Introduction
Short course
Online
Description
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Type
Short course
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Level
Intermediate
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Methodology
Online
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Class hours
8h
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Duration
Flexible
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Start date
Different dates available
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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
Start date
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.
Reviews
This centre's achievements
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:
- Introduction and basics
- Variables and data types
- Inbuilt functions
- Data frames
- 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