R Programming Course Overview

R Programming Training Course Outline

Module 1: Introduction to R

  • R Programming Language
  • Evolution of R
  • Features of R
  • Advantages and Disadvantages of R
  • Applications of R
  • Environmental Setup of R
  • Basic Syntax of R

Module 2: Data Types

  • Introduction
  • Various Data Types

Module 3: R Variables and Operators

  • R Variables
  • R Operators

Module 4: Decision Making

  • if Statement
  • if-else Statement
  • Switch Statement

Module 5: Basics of Loops

  • While Loop
  • For Loop
  • Nested Loop
  • Repeat Statement
  • Break Statement
  • Next Statement

Module 6: Functions, Strings, and Vectors

  • R Functions
  • R Strings
  • Vectors

Module 7: Introduction to R Lists

  • What is R List?
  • How to Create Lists in R Programming?
  • How to Name List Elements in R Language?
  • How to Access R List Elements?
  • Manipulating List Elements
  • Merging Lists
  • Convert Lists to Vector

Module 8: Matrices and Arrays

  • Matrices in R
  • Array in R

Module 9: Overview of R Factors, Data Frames, and Packages

  • Factors
  • Data Frames
  • Operations on R Data Frames
  • Packages

Module 10: R Data Reshaping

  • Introduction to R Data Reshaping
    • Merging Data Frames
    • Melting the Data
    • Casting the Data

Module 11: Working with Data in R

  • Data Manipulation in R
  • Data Clean Up
  • Reading and Exporting Data
  • Importing Data

Module 12: Introduction to Databases

  • R Databases
  • Steps to Install Package in the R Environment

Module 13: Charts and Graphs in R

  • Introduction

Module 14: Regression in R

  • Regression Analysis
    • Linear Regression
    • Logistic Regression
  • Multiple Regression
  • Normal Distribution
  • Binomial Distribution

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Who should attend this R Programming Course?

The R Programming Courses in the United States are designed to provide individuals with a comprehensive understanding of how to perform statistical analysis and data visualization using the R programming language. This course can be beneficial for a wide range of professionals, including:

  • Data Analysts
  • Data Scientists
  • Statisticians
  • Business Analysts
  • Data Engineers
  • Quantitative Analysts
  • Market Researchers

Prerequisites of the R Programming Course

There are no formal prerequisites to attend the R Programming Courses. However, a basic knowledge of computers and programming would be beneficial for the delegates.

R Programming Training Course Overview

This course in the United States on R Programming provides a comprehensive introduction to the world of programming. Its significance in modern data-driven industries like finance, healthcare, and technology cannot be overstated. With the growing demand for data professionals, this training becomes essential for individuals seeking expertise in data manipulation and analysis using R.

Proficiency in R Programming is indispensable for professionals in the United States aiming to excel in the data analytics sphere. Data Scientists, Statisticians, and Analysts benefit immensely from this course. R's versatility allows professionals to process and visualize complex data sets, enabling informed decision-making. With in-depth knowledge gained from this course, professionals can elevate their careers by efficiently handling real-world data challenges.

This intensive 1-day training in the United States equips delegates with practical skills to harness the power of R Programming. Through hands-on sessions and interactive modules, delegates will delve into R's core concepts, mastering data manipulation, statistical analysis, and visualization techniques. The course focuses on real-life scenarios, ensuring delegates gain actionable insights. By the end of the Courses, delegates will possess a strong command of R, enabling them to analyze intricate datasets, derive meaningful conclusions, and present data-driven solutions effectively.

Course Objectives

  • To understand the fundamentals of R Programming language
  • To learn data manipulation techniques using R
  • To gain proficiency in statistical analysis and hypothesis testing
  • To master Data Visualization using advanced R packages
  • To apply R for real-time data analytics scenarios
  • To develop expertise in handling large datasets efficiently
  • To learn to create interactive dashboards using R Shiny
  • To practice coding and problem-solving through hands-on projects

After completing this training in the United States, delegates will possess a valuable skill set that enhances their professional prospects. They'll be better equipped to handle data, automate tasks, and contribute to software development projects. Programming Courses sets them on a path to success in the rapidly evolving digital landscape.

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What’s included in this R Programming Course?

  • World-class Training Sessions from Experienced Instructors 
  • R Programming Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led R Programming Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's R Programming Course, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

R Programming Course FAQs

R Programming is a statistical computing language utilized for data analysis and visualization. Widely employed in various fields, it offers extensive libraries and tools for statistical techniques, making it a preferred choice for Statisticians and Data Analysts.
R Programming language is crucial in data analysis, data science, statistical computing, bioinformatics, finance, research, visualization, reporting, web development, education, and more.
There are no formal prerequisites for attending this training course.
This course offers comprehensive training in statistical analysis, data science, and data visualization using R. It equips delegates with practical skills, enhances career prospects, fosters community engagement, and facilitates continuous learning in data science.
R Programming includes statistical analysis, data visualization, data manipulation, programming language capabilities, community support, interactivity, open-source nature, extensibility through packages, integration with other tools, and support for reproducible research practices.
The time it takes to learn R Programming varies depending on factors like prior programming experience, the intensity of study, and learning goals. However, beginners can gain basic proficiency in R within a few weeks to a few months with consistent effort.
The difficulty of learning R Programming depends on factors such as prior programming experience, familiarity with statistical concepts, and learning pace.
This course comes with a 1-day training session from experienced trainers, a digital delegate pack, and a certificate upon completion of the course.
The duration of this course spans 1 day.
Should you encounter any difficulties accessing the course materials, our customer support team is available to assist and promptly resolve any issues you may encounter.
The Knowledge Academy in the United States is a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking Programming Courses.
The training fees for R Programming Course certification in the United States starts from $1595
The Knowledge Academy is the Leading global training provider for R Programming Course.
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Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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