SkillEnable’s R certification course makes you an expert in data analytics using the R programming language. Our R course combines a cutting-edge curriculum with job-ready skills. Join our R programming course today to become an expert!

Deep Dive in R Programming

Professionalize your R Programming Skills

 R programming certification course 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.

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Deep Dive in Data Science, AI & ML

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Taught by experienced

Industry Experts


60 Hours of Live Exhaustive Training Sessions

Industry Experts

No prior coding experience is required to do this course

Industry Approved Certificate upon completion


Active job referrals from 500+ Fortune Companies.

Live Classes on Data Science

Get Dedicated mentoring session from industry experts

Lifetime access to self-paced learning

Join a booming industry

SkillEnable emphasizes developing both interpersonal and interview skills along with a regular curriculum in order to make you the top target of recruiters.

Be a Target Hire

SkillEnable develops interpersonal and interview skills, as well as offering a regular curriculum, so that you are the prime target of recruiters

Industry Relevant Tools

Learn the latest data science tools and practice real-life case studies and capstone projects using industry tools.

Personalized Curriculum

Curriculum that focuses on developing soft skills in individuals

Program Features!

Complete the course and get a completion certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

  • Introduction to R

  • Why R

  • R Vs Python

  • Download & Install Rstudio

  • Hadoop

  • Install new packages

  • Load packages to library

Unit 1

  • Intro R Command Prompt & Script File

  • Basic Syntax

  • Data Types

  • Data Structures

  • Variables

  • Various Keywords

Unit 2

  • Arithmetic Operators

  • Relational Operators

  • Logical Operators

  • Assignment Operators

  • Miscellaneous Operators

Unit 3

  • If Statement

  • If-else Statement

  • else if Statements

  • R Switch Statements

  • R Break Statement

Unit 4

  • For loops

  • While Loop

  • Repeat Loop

  • Functions

  • Built-in Functions

  • Function Arguments

  • Types of Functions

  • Recursion

  • Conversion Functions for Data Types

  • Conversion Functions for Data Structures

Unit 5

  • Strings

  • Vectors

  • Lists

  • Arrays

  • Matrices

  • Factors

  • Joining Columns and Rows in a Data Frame

  • Merging Data Frames

  • Merging Data Frames

  • Data Frame

Unit 6

  • Classes & Object

  • Encapsulation

  • Polymophism

  • Inheritence

  • Abstraction

  • Looping function for objects

  • Explicit coercion

  • Handling Errors in R

  • Condition Handling

  • Debugging

  • Read File

  • Write File

  • Binary Files

  • working with csv file

  • Working with Excel File

  • Working with Binary Files

  • Working with Json File

  • Working with XML File

  • Working with Database

Unit 7

  • Data visualization

  • Line Chart

  • Bar chart

  • Histograms

  • Scatter plots

  • Pie chart

  • Boxplots

Unit 8

  • Mean, Median and Mode

  • Average, Varience and Standard Deviation

  • measure of central tendency & Measure of variability

  • Normal Distribution

  • Binomial Distribution


  • Covarience & Correlation

  • Skewness

  • Kurtosis

  • Hypothesis Testinf

  • Time Series Analysis

Unit 9

  • Introduction to Machine Learning

  • Supervised Vs Unsupervised Learning

  • Regression & Its Types

  • Classifiction

  • Naïve Bayes classifier

  • KNN

  • Clustering

  • Decision Tree

  • Random Forest

  • Hierarchical Clustering

  • DBScan Clustering

  • Deep Learning with R

Week 1-14




Our Selection Process


It's an Intensive and Elite 3 Months Program with an Extensive Selection Process.

Document Verification 

Students will have to submit documents for verification for their credit profiling.

Registration & ISA Signing

Students selected by a final interview by experts will sign the ISA and start the course.

Online Assessment &Interview

Students will go through an assessment on Quantitative, Critical Reasoning, and Interpersonal skills followed by an Interview.


Filling an extensive application forms with academic, professional  and personal background.

Open Source

R is an open-source programming language. So, R is available to anyone without the need for a license or a fee.

Exemplary Support for Data Wrangling

R is a fantastic tool for manipulating data. Dplyr and readr are capable of translating unstructured data into a structured format.

Highly Compatible

R is extremely compatible with a wide range of other programming languages, including C, C++, Java, and Python. It can also be used in conjunction with technologies such as Hadoop and a variety of other database management systems.

Machine Learning Operations

R has a number of characteristics for performing machine learning operations such as classification and regression, as well as features for creating artificial neural networks.


R is often regarded as the statistical lingua franca. This is the primary reason why R outperforms other programming languages when it comes to designing statistical tools.

Benefits of Learning R

Course Details

Top Companies that Hire From Us!

SkillEnable has 500+ Hiring partners who have hired our students for roles like Business Analyst, Data Analyst, Data Scientist, Data Associate, Python & ML Expert, Subject Matter Expert in Data Science, Product Managers, Junior Manager, Financial Analyst & Quality Analyst.