Data Science with R Programming

Last Update January 10, 2022
3 already enrolled

About This Course

Intelligence Gateway’s Data Science with R certification course makes you an expert in data analytics using the R programming language. This data science with R course enables you to take your Data Science skills into a variety of companies, helping them analyze data and make more informed business decisions. With dedicated mentoring sessions, this R course incorporates cutting-edge curriculum to help you develop job-ready skills. Enroll in our R training and build expertise in data science right away.


R Certification Course Overview

The Data Science with R programming certification training covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.



The Big Data Analytics market is expected to reach $40.6 billion by 2023, at a growth rate of 29.7-percent. Randstad reports that pay hikes in the analytics industry are 50-percent higher than the IT industry. Learning R can help you begin a career in data science.


R Certification Course Curriculum



This Data Science with R certification training is beneficial for all aspiring data scientists including, IT professionals or software developers looking to make a career switch into Data analytics, professionals working in data and business analysis, graduates wishing to build a career in Data Science, and experienced professionals willing to harness Data Science in their fields.


There are no prerequisites for this Data Science with R certification course. If you are a beginner in Data Science, this is one of the best courses to start with.

Course Content

Lesson 00 – Course Introduction
Lesson 01 – Introduction to Business Analytics
Lesson 02 – Introduction to R Programming
Lesson 03 – Data Structures
Lesson 04 – Data Visualization
Lesson 05 – Statistics for Data Science-I
Lesson 06 – Statistics for Data Science-II
Lesson 07 – Regression Analysis
Lesson 08 – Classification
Lesson 09 – Clustering
Lesson 10 – Association


R Programming Training FAQs


What is R programming?
R is a programming language and free software developed in 1993, made up of a collection of libraries architectured especially for data science. As a tool, R is considered to be clear and accessible.


Why should I learn R programming?
Data Science is one of the popular career domains among professionals that offers high earning potential. It mostly comprises statistics and R is the bridging language of this domain and is widely used for data analysis. By learning R programming, you can enter the world of business analytics and data visualization. It is a must-have skill for all those aspiring to become a Data Scientist.


What is the recommended learning path after completing Data Science with R Programming certification course?
You can either enroll in our Data Scientist Course or if you are looking to get a University certificate, you can enroll in the Post Graduate Program in Data Science.


How do I become an R Programmer?
To become an R programmer, you need a degree in IT, Computer Science, or any allied field. After this, you can go for an R certification for more comprehensive knowledge.


What is R Programming used for?
R is a programming language that is used for statistical computing graphics for cleaning, analyzing, and presenting data. By seeking an R course, you’ll get the opportunity to learn about R and its applications in detail.


Is the R course difficult to learn?
This Data Science with R course is easy to learn. Anyone can pursue it, whether a fresh IT graduate or professionals like IT professionals, analytics professionals, and software developers.


Is R Programmer a good career option?
R programmers are best suited for industries dealing with Data Science projects based on statistical model implementation for data analysis. They are paid quite well in the industry with a salary starting at $85,000, which may reach $122,000 with only ten years of experience ( Across the world, professionals with Data Science with R certification are in high demand. Presently, there are nearly 1 million R-specific job vacancies globally, making it one of the leading career options. Given this, it will be highly beneficial for you if you seek an R certification along with a degree in Data Science.


How do beginners learn R?
Beginners can learn R by seeking comprehensive R training that will help them have a profound base in R and seek expert-level knowledge. Upon taking the training, they must consider working on R-based projects to gain relevant practical experience.


Is R certification worth it?
Seeking this R training is worth it as it will help you:

  • Gain a basic understanding of business analytics
  • Install R, RStudio, workspace setup, and seek knowledge on the different R packages
  • Master R programming and understand how different statements are executed in R
  • Gain a deeper understanding of data structure used in R and learn how to import/export data in R
  • Define, comprehend and use the various apply functions and DPLYR functions
  • Understand and use the different graphics in R for data visualization
  • Gain a basic understanding of different statistical concepts
  • Gain understanding and know the use of the hypothesis testing method to drive business decisions
  • Understand and utilize linear and non-linear regression models, and classification techniques for data analysis
  • Learn and use the various association rules with the Apriori algorithm
  • Learn and use clustering methods including k-means, DBSCAN, and hierarchical clustering


What are the job roles available after getting an R certification?
After obtaining an R certification, you can seek job roles in the form of:

  • R programmer
  • Data Scientist
  • Data Analyst
  • Data Architect
  • Data Visualization Analyst
  • Geo Statistician
  • Database Administrator
  • Quantitative Analyst


What does an R Programmer do?
The primary responsibility of an R programmer is to use the R programming language for developing scripts that can be used for data manipulation, modeling, prediction, visualization, and reporting. By attaining an R certification, you will better understand the roles and responsibilities of R programmers.


What skills should an R Programmer know?
An R programmer should be skilled at:

  • Statistics
  • Machine learning
  • Programming languages in addition to R
  • Visualization
  • Communication

With this Data Science with R certification, you will be able to acquire these skills and learn much more about R programming and have a flourishing career ahead of you.


What industries use R Programming most?
Industries that use R programming the most are academic, healthcare, consulting, government, insurance, finance, manufacturing, electronics, and technology-based industries. After seeking an R course, you can easily seek job opportunities in these top industries.


Which companies hire R Programmers?
Some of the top companies hiring professionals with R certification are Facebook, Google, American Express, HP, Infosys, IBM, Deloitte, Capgemini, Oracle, Twitter, and Uber.


What book do you suggest reading for R Programming?
While pursuing an R course, you can consider referring to the following top books for more detailed knowledge:

  • An Introduction to Statistical Learning: with Applications in R by Springer
  • R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham
  • Discovering Statistics Using R by Andy Field R
  • For Dummies by Andrie de Vries, Joris Meys
  • The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff


What is the pay scale of R Programmers across the world?
By seeking an R certification, professionals can earn an average salary of $96,481 in a year


Learning Objectives

Business analytics
R programming and its packages
Data structures and data visualization
Apply functions and DPLYR function
Graphics in R for data visualization
Hypothesis testing
Apriori algorithm
kmeans and DBSCAN clustering

Material Includes

  • Business analytics
  • R programming and its packages
  • Data structures and data visualization
  • Apply functions and DPLYR function
  • Graphics in R for data visualization
  • Hypothesis testing
  • Apriori algorithm
  • kmeans and DBSCAN clustering

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All Levels
Duration 64 hours

Material Includes

  • Business analytics
  • R programming and its packages
  • Data structures and data visualization
  • Apply functions and DPLYR function
  • Graphics in R for data visualization
  • Hypothesis testing
  • Apriori algorithm
  • kmeans and DBSCAN clustering
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