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Learn R Programming

Learn R Programming

You will learn to work with powerful R tools and techniques. You’ll be able to boost your productivity with the most popular R packages and tackle data structures such as matrices, lists, and factors.

Overview

Description
Use R programming to create data structures and perform extensive statistical data analysis and synthesis.

R is a high-level statistical language and is widely used among statisticians and data miners to develop statistical applications. This solution-based video will be your guide, taking you through different programming aspects with R.

Beginning with the basics of R programming, this video provides step-by-step resources and time-saving methods to help you solve programming problems efficiently. Starting with the installation of R, each recipe addresses a specific problem with a discussion that explains the solution and offers insight into how it works.

You will learn to work with powerful R tools and techniques. You’ll be able to boost your productivity with the most popular R packages and tackle data structures such as matrices, lists, and factors. You’ll see how to create vectors, handle variables, and perform other core functions. You’ll be able to tackle issues with data input/output and will learn to work with strings and dates.

Moving forward, we’ll look into more advanced concepts such as metaprogramming with R and functional programming. Finally, you’ll learn to tackle issues while working with databases and data manipulation.

About the Author

Dr David Wilkins is a biologist with nearly a decade of experience writing R for research applications, particularly high-throughput analysis of genetic data
He has also developed a number of open source R packages

Course Information

Basic Knowledge of R programming is required

Write basic R code
Get to know the nuts and bolts of writing R in RStudio
Discover the basics of variable assignment and expression
Get a tour of the most important data structures in R
Find out how to create, edit, and subset data structures
Get to know a set of techniques for importing data, manipulating data, performing statistical analysis, and producing useful data syntheses

This course is suited for everyone interested in technology (data science)
No prior R programming or data science is neccessary
Some familiarity with some concepts e.g. what is data...what is data science

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Course Specifications

IT and Computing courses are available to study on our learning platform. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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