R Programming
REASONS TO CHOOSE
- In-depth knowledge of R programming and how to set up the R environment.
- Understand the concept of data reshaping and regression in R.
- Learn how to name, access, and manipulate the list elements.
R programming
Become the master of R Programming
R Programming
R Programming Training Course Outline
- Introduction to R
- Evolution of R
- Characteristics of R
- Environment Setup of R
- Basic Syntax of R
- Data Types
- Vectors
- Lists
- Matrices and Arrays
- Factors and Data Frames
- R Variables and Operators
- Decision Making
- Basics of Loops
- Repeat Loop
- While Loop
- For Loop
- Loop Control Statements
- Function, Strings and Vectors
- Introduction to R Lists
- Creating List
- Naming, Accessing and Manipulating List Elements
- Merging Lists
- Convert Lists to Vector
- Matrices and Arrays
- Overview of R Factors, Data Frames and Packages
- R Data Reshaping
- Working with Data in R
- Introduction to Databases
- Charts and Graphs in R
- Regression in R
- Linear Regression
- Multiple Regression
- Logistic Regression
- Normal and Binomial Distribution
Price – From £1295
Contact us for pricing information and receive upto 20% discount.
Who should attend this R Programming Training?
Anyone who wishes to build their proficiency in using R programming language can attend this course. This course is ideal for:
- Business and IT Professionals
- Survey Researcher
- Risk Analyst
- Data Scientists and Data Engineers
R Programming Prerequisites
There are no formal prerequisites for this course.
R Programming Training Course Overview
R is a programming language and software environment for graphic representation, statistical analysis, and reporting. This R Programming course is designed to provide a thorough knowledge of the working and environment setup of R.
Delegates will learn all of the concepts of R such as R variables, operators, data types, etc. During this course, delegates will learn how to name, access, and manipulate list elements and will also learn how to convert lists to vectors. Delegates will acquire knowledge on working on various files in R such as CSV files, Excel files, binary files, XML files, and JSON files. By the completion of this course, delegates will be able to create boxplots and scatterplots.