EtusivuHae koulutuksiaFundamentals of R

Fundamentals of R

An introduction to R; a mathematical and statistical modelling language used extensively in data analysis and Big Data.
This 3-day course is designed for anyone planning to work with larger Big Data solutions or Machine Learning, or for those studying a vendor specific path, such as Microsoft SQL Server.
By attending this course you will learn how to write programmes using R to create effective statistical outputs and to visualize data using R’s library.

Koulutusmuoto
Remote

Kesto
3 päivää

Hinta
3432 €

An introduction to R; a mathematical and statistical modelling language used extensively in data analysis and Big Data.

This 3-day course is designed for anyone planning to work with larger Big Data solutions or Machine Learning, or for those studying a vendor specific path, such as Microsoft SQL Server.

By attending this course you will learn how to write programmes using R to create effective statistical outputs and to visualize data using R’s library.

Target Audience

Aimed at all who wish to learn the R programming language.

Learning outcomes

At the end of this course attendees will know:

  • Fundamentals of R programming language
  • R data types, containers, arrays, flow control and functions
  • R text manipulation
  • R visualisation packages
  • How to perform data exploration and analysis with R

At the end of this course attendees will be able to:

  • Write R programs for manipulating and analysing data
  • Plot graphs from data sets

Prerequisites

  • No prior knowledge of R is assumed
  • Delegates should already be familiar with basic programming concepts such as variables, scope and functions
  • Experience of another scripting language such as Python or Perl would be an advantage

Course Content

Overview of R

  • An introduction to the R programming language
  • History and capabilities
  • Development environments
  • Assignment
  • Tips

Data: Datatypes and Arithmetic

  • An introduction to most common data types in base R
  • Simple types
  • Composite types
  • Arithmetic
  • Data manipulation

Containers

  • A more detailed look at the most common data types in base R
  • Lists, Vectors, Factors, Data Frames
  • Converting data types

Higher Dimensions

  • A more detailed look at the most common data types in base R
  • Matrices and Arrays
  • Representing 3 or more dimensions

Databases and IO

  • A more detailed look at how to read and write to permanent storage from R
  • Various File Types
  • Databases

Flow

  • A more detailed look at how to control decision making in R for later automation:
  • Selection
  • Iteration

Functions

  • An overview of how to create functions in R
  • How to call functions
  • The use of variadicity in R
  • Design principles for programmers

Text

  • An overview of the functions available in stringr for manipulating text.
  • A brief introduction to regex.
  • Functions for pattern matching and text manipulation

Plotting and Packages

  • Plotting in base R
  • An overview of the community approved packages: Tidyverse
  • Syntax differences
  • Overview of packages for Data Import, Transforming and Cleaning
  • Overview of packages for report creation and dashboarding
  • Overview of packages for Big Data handing and AI
  • Extra: Practical use of ggplot2, ggplotly