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Key Features



About The Program

  1. Introduction to R programming
  2. Learn R-Calculator functionality
  3. Work with Stack, Merge and Strsplit
  4. Understand matrix manipulation
  5. R integration with Hadoop
  6. R environment and various windows
  7. Work with operators, functions and logical statements
  8. Study R graphs and summary reports
  9. Learn about Advanced R and Base R
  • BI Managers and Project Managers
  • Software Developers and ETL Professionals
  • Analytics Professionals
  • Big Data Professionals
  • Those who wish to have a career in R
  • You don’t need any specific knowledge to learn R. A basic knowledge of programming can help you.
Deepneuron follows a rigorous certification process. To become a certified R Programmer,
you must fulfill the following criteria:

  • Online Instructor-led Course
  • Successful completion of all projects, which will be evaluated by trainers
  • Scoring a minimum of 60 percent in the R quiz conducted by Deepneuron
  • Self-paced Course
  • Completing all the course videos in our LMS
  • Scoring a minimum of 60 percent in the R quiz conducted by Deepneuron

R Course Modules

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

What is R ?
History and Features of R
Introduction to R Studio
Installing R and Environment Setup
Command Prompt
Understanding R programming Syntax
Understanding R Script Files
Data types in R
Creating and Managing Variables
Understanding Operators
Assignment Operators
Arithmetic Operators
Relational and Logical Operators
Other Operators
Understanding and using Decision Making Statements
The IF Statement
The IF…ELSE statement
Switch Statement
Repeat Loop
While Loop
For Loop
Controlling Loops with Break and Next Statements
Understanding the Vector Data type
Introduction to Vector Data type
Types of Vectors
Creating Vectors and Vectors with Multiple Elements
Accessing Vector Elements
Understanding Arrays in R
Introduction to Arrays in R
Creating Arrays
Naming the Array Rows and Columns
Accessing and manipulating Array Elements
Introduction to Matrices in R
Creating Matrices
Accessing Elements of Matrices
Performing various computations using Matrices
Understanding and Creating List
Naming the Elements of a List
Accessing the List Elements
Merging different Lists
Manipulating the List Elements
Converting Lists to Vectors
Creating Factors
Data frame and Factors
Generating Factor Levels
Changing the Order of Levels
Creating Data Frames
Matrix Vs Data Frames
Subsetting data from a Data Frame
Manipulating Data from a Data Frame
Joining Columns and Rows in a Data Frame
Merging Data Frames
Converting Data Types using Various Functions
Checking the Data Type using Various Functions
Understanding Functions in R
Definition of a Function and its Components
Understanding Built-in Functions
Character/String Functions
Statistical and Numerical functions
Time and Date Functions
Understanding User Defined Functions (UDF)
Creating a User Defined Function
Calling a Function
Understanding Lazy Evaluation of Functions
Understanding External Data
Understanding R Data Interfaces
Working with Text Files
Working with CSV Files
Understanding Verify and Load for Excel Files
Using written() and ReadBin() to manipulate Binary Files
Understanding the RMySQL Package to Connect and Manage MySQL Databases
What is Data Visualization
Understanding R Libraries for Charts and Graphs
Using Charts and Graphs for Data Visualizations
Exploring Various Chart and Graph Types
Pie Charts and Bar Charts
Box Plots and Scatter Plots
Histograms and Line Graphs
Understanding the Basics of Statistical Analysis
Uses and Advantages of Statistical Analysis
Understanding and using Mean, Median, and Mode
Understanding and using Linear, Multiple and Logistic Regressions ∙ Generating Normal and Binomial Distributions
Understanding Inferential Statistics
Understanding Descriptive Statistics and Measure of Central Tendency
Understanding Packages
Installing and Loading Packages
Managing Packages


Earn your certificate

Our R program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a R Certificate

The knowledge and R skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Data Scientist

DeepNeuron Testimonials


  • What is the objective of our R Regular Certification?

    The objective of the CKA training is to provide extensive coverage on the design and deployment of containers and orchestral tools for applications with special references to R container orchestration tools. With Deepneuron Certified R Administrator course, we ensure hands-on practical experience on creating containers files for R which will help you to master R with confidence.

  • Why should I learn R from Deepneuron?

    Deepneuron R certification is for freshers, experienced individuals who are ready to dive for a real-time case study based industry-specific carriculum specialized curated from professional subject matter experts (SMEs). At Deepneuron, you will explore live projects based on conceptual learnings with details explanations for each and every module for upscaling your current career statistics with advancement.

  • What can I expect after the R Course accomplishment?

    After the completion of the R online course, you will gain expert knowledge in Kubernetes and will be a proficient player to tap Pythontools at a depth level. Moreover, you will be part of the Deepneuron community to leverage the knowledge-base shared by the members around the globe. You will also earn an industry-recognized R certification from Deepneuron.

  • Does Deepneuron offer job assistance?

    Deepneuron actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

  • Is it possible to switch from self-paced training to instructor-led training?

    You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

  • Does the job assistance program guarantee me a Job?

    Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • R for Data Science

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.


    Course completion certificate

    Data Science and Statistics Fundamentals Required 85% of Online Self-paced completion
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with SAS Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in course-end assessment and successful evaluation in at least 1 project
    Machine Learning and Tableau Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
    Big Data Hadoop and Spark Developer Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation of at least 1 project
    Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • How do I enroll for the Data Scientist course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online Data Science courses. Who can help me?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support. portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

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