Professional certification in Programming

R PROGRAMMING LANGUAGE TRAINING

Our IT training courses are developed with industry-standards and career-focused technologies.


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Certification
Duration & Study Mode:
Full time, Part-time, Evening and Weekends, Virtual online
Location:
London, Flexible online
Duration: 5 Days / 5 Weeks

R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting. This R Programming course is intended to provide a thorough understanding of R’s operation and environment setup. Participants will learn R concepts such as variables, operators, data types, etc.  During this course, you will learn how to name, access, and manipulate list elements and how to convert lists to vectors. Participants will learn how to work with various files in R, including CSV files, Excel files, binary files, XML files, and JSON files. Delegates will be able to create boxplots and scatterplots after completing this course.

Prerequisites

  • There are no prerequisites to enrol in this course, but a general understanding of the programming language can benefit.

What will you gain after this course

  • In R, grasp the concepts of data reshaping and regression.
  • Discover how to name, access, and manipulate list elements.
  • Gain in-depth knowledge of R programming and how to set up the R environment.

Jobs you can get
with  Your R Programming Qualification

  • Data Scientist 
  • Data Analyst

Corporate Group Training

  • Customized Training
  • Onsite / Virtual
  • Instructor-led Delivery
  • For small to large groups

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Who is this certification for?

  • This course is open to anyone who wants to improve their knowledge of the R programming language. 
  • This course is perfect for Business and IT Professionals, Survey Researchers, Risk Analysts, Data Scientists, and Data Engineers.

Syllabus

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

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