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Learn R Programming Language - Training & Certification
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Learn R Programming Language - Training & Certification

R Programming Language - Certification

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Modes of Delivery

Online Classroom

Collaborative, enriching virtual sessions, led by world class instructors at time slots to suit your convenience.

Classroom

Our classroom training provides you the opportunity to interact with instructors and benefit from face-to-face instruction.

Team/Corporate Training

Our Corporate training is carefully structured to help executives keep ahead of rapidly evolving business environments.
Group Discount: 10.00% for 2 people 15.00% for 3 to 4 people 20.00% for 5 and above people

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Descripton

One of the leading programming languages, R is widely used for statistics and data modelling. Its popularity can be attributed to the fact that is that it is sophisticated, extremely versatile and flexible and can be applied in a variety of fields,  including data science, engineering, business, medicine and pure science. R allows data analysis using a variety of statistical techniques, such as linear and nonlinear modelling, classical statistical tests, time-series analysis, to name a few; and also has capabilities to produce a range of graphics including charts, plots, graphs and so on that can be used for presentations.

Our course offers an expert's-eye overview of how these advanced tasks fit together in R as a whole along with practical examples. Through hands on exercises and in-depth coaching you will get a thorough understanding of R, its data structures, data processing functions and data summarizing with R.

What You Will Learn

  • Basics of R - Learn to install R studio - Explore R language fundamentals, including basic syntax, variables, and types
  • Data Structures - Learn about the different data structures that R can handle. Create and manipulate regular R lists, tuple etc.
  • Conditional Statements - Learn about control and loops statements
  • Object Oriented Programming - Learn to write user defined functions and object oriented way of writing classes and objects. Use functions and import packages
  • Querying and Filtering - Learn how to apply various data processing functions in R. These operations can be useful to describe data and perform certain operations on it
  • Summarizing - Learn to Summarize the data which helps you to take necessary steps for further analysis
Prerequisites

While there are no prerequisites, participants would benefit if they have elementary programming knowledge.

Who should Attend?

This course is for you if:

  • You are interested in the field of data science and want to learn R programming from scratch
  • You are new to R or are self-taught and you are looking for a more robust, structured learning program
  • You're a Software or Data Engineer interested in learning R Programming

KnowledgeHut Experience

Instructor-led Interactive Classroom Experience
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest tools and training.

Learn through Doing
Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied in the real world.

Mentored by Industry Leaders
Our support team will guide and assist you whenever you require help.

Advance from the Basics
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals
Get reviews and feedback on your final projects from professional developers.

Instructor led Live Training

  • 20 hours Live Sessions
  • 8 hours MCQs and Assignments
  • 16 hours of Hands-on with R
  • Includes Use Cases
Tools and Technologies used

  • R
  • R Studio







key Fetures

20 hours of Instructor led Training
8 hours of Assignments
Comprehensive Coverage on Basic and Advanced R

Curiiculum

Module1- Intro to R Programming

Learning Objectives: Get an idea of what is R. Why R is so popular tool among Data Scientists.

Topics

  • What is R?
  • Why is it in demand?

Hands-on: No hands-on

Module2- Installing and Loading Libraries

Learning Objectives:  Learn how to install R and its components.
Learn how to install and load libraries
Learn frequently used libraries

Topics

  • Installation of R - step by step
  • Installing Libraries
  • Getting to know important Libraries

Hands-on:  Know how to install R, R Studio and other libraries

Module3- Data Structures in R

Learning Objectives: Learn about data structures in R

Topics

  • List
  • Vectors
  • Arrays
  • Matrices
  • Factors
  • String
  • Data Frames

Hands-on: Write R Code to understand and implement R Data Structures

Module4- Control & Loop Statements in R

Learning Objectives: Learn all about loops and control statements in R

Topics

  • For Loop
  • While Loop
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement

Hands-on: Write R Code to implement loop and control structures in R

Module5- Functions in R

Learning Objectives: Learn how to write custom functions, nested functions and functions with arguments

Topics

  • Writing your own functions (UDF)
  • Calling R Functions
  • Nested Function Calls in R
  • Functions with Arguments
  • Calling R Functions by passing Arguments

Hands-on:  Write R Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required

Module6- Loop Functions in R

Learning Objectives: Lean all about loop functions available in R which are efficient and can be written with single command

Topics

  • apply
  • lapply
  • sapply
  • mapply
  • Tapply

Hands-on:   Write R Code to implement various types of apply functions and understand their usage

Module7- String Manipulation & Regular Expression in R

Learning Objectives:  Learn all about string manipulations and regular expressions. The functions can be extremely useful for text or unstructured data manipulations

Topics

  • stringr()
  • grep() & grepl()
  • regexpr() & gregexpr()
  • regexec()
  • sub() & gsub()

Hands-on:  Write R Code for string manipulation and handle regular expression

Module8- Working with Data in R

Learning Objectives: Learn how to import data from various sources in R. How to write files from R. How to connect to various databases from R

Topics

  • Reading data files in R
  • Reading data files from other Statistical Software
  • Writing files in R
  • Connecting to Databases from R
  • Data Manipulation & Analysis

Hands-on:  Write R Code to read and write data from/to R. Read data not only from CSV files but also using direct connection to various databases

Module9- Querying, Filtering, and Summarizing

Learning Objectives: Learn how to apply various data processing functions in R. These operations can be useful to describe data and perform certain operations on it. This will help you to take necessary steps for further analysis

Topics

  • Pipe operator for data processing
  • Using the dplyr verbs
  • Using the customized function within the dplyr verbs
  • Using the select verb for data processing
  • Using the filter verb for data processing
  • Using the arrange verb for data processing
  • Using mutate for data processing
  • Using summarise to summarize dataset

Hands-on:

  • Write R code to preprocess, to
  • summarize data and basic
  • visualization of the
Module10- Basic Data Visualization

Learning Objectives: Learn basic data visualization techniques to build charts using R

Topics

  • Basic Data Visualization with standard libraries 

Hands-on: Write R code to perform basic visualization of the data

Module11- Case Study

Learning Objectives: Case Study to explore R

Topics

  • Case Study : R Programming

Hands-on: Case Study to explore R

Projects
Covers Data Manipulation and Analysis





Our Students See All

Extremely satisfied. The program was structured in a creative manner, practising what it preached, with plenty of examples and exercises. Facilitator kept training interesting. Knowledgehut Support Team provided excellent service! Thank You!Would surely recommend the training to others.

Attended workshop in November 2017

Attended a 2 day weekend course by Knowledgehut for the CSM certification. The instructor was very knowledgeable and engaging. Excellent experience.

Attended workshop in April 2018

The CSPO Training was awesome and great. The trainer Anderson made all the concepts look so easy and simple. Using his past experience as examples to explain various scenarios was a plus. Moreover, it was an active session with a lot of participant involvement which not only made it interactive but interesting as well. Would definitely recommend this Training.

Attended workshop in July 2018

Great course. An interesting and interactive session to better understand how to succeed in formulating a business case and how to present it effectively.

Attended workshop in May 2018
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SDE 1 at TESCO from Bangalore, India
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Business Analyst at Valtech from Bangalore, India
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Frequently Asked Questions

Glassdoor has ranked Data Science as the best job in America 3 years in a row, with a median base salary of $110000 and 4,524 job openings. This demand is only increasing year on year, making it the fastest growing tech employment area today. Jobs that require knowledge of data science include Data scientist, Analytics Manager, Database Administrator, Data Engineer, Business Intelligence Developer etc. This course will help you learn the R programming language which is one of the most commonly used languages in the Data Science space.

 

  • How to use the R programming language and its environment
  • How to use R functions to manipulate data
  • How to analyze and manipulate data with R

By the end of this course, you would have gained knowledge on the use of R language to build applications on data statistics. This will help you land jobs as data analysts.

There are no restrictions but participants would benefit if they have elementary programming knowledge.

Yes, KnowledgeHut offers this training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are R experts who have years of industry experience.

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our

Refund Policy.

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

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