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R Deep Dive - Training & Certification
Rated 4.5/5 based on 78 customer reviews

R Deep Dive - Training & Certification

Understand the fundamentals of R

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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

3 Months FREE Access to all our E-learning courses when you buy any course with us

Curriculum

Module 1- 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

Module 2- Installing and Loading Libraries

Learning Objectives: Learn how to install R and its components.
Learn how to install and load libarries
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

Module 3- 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

Module 4- 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

Module 5- 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

Module 6- 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

Module 7- 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

Module 8- 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

Module 9- 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 apply various functions in R o order to process data

Module 10- R for Text Processing

Learning Objectives: Learn how to handle data from different sources and different data formats.

Topics

Extracting unstructured text data from a plain web page

  • Extracting unstructured text data from a plain web page
  • Extracting text data from an HTML page
  • Extracting text data from an HTML page using the XML library
  • Extracting text data from PubMed
  • Importing unstructured text data from a plain text file
  • Importing plain text data from a PDF file
  • Pre-processing text data for topic modeling and sentiment analysis
  • Creating a word cloud to explore unstructured text data
  • Using regular expression in text processing       

Hands-on: Write R code to implement text processing in order to handle data from various sources

Module 11-
Handling large data in R

Learning Objectives: Learn how to work with complex data structures and associated large data

Topics

  • Creating an XDF file from CSV input
  • Processing data as a chunk
  • Comparing computation time with data frame and XDF
  • Linear regression with larger data (rxFastLiner)

Hands-on: Write R code to implement varipous functions in R and apply linear regression using large data

Module 12- 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

Module 13- Case Study

Learning Objective:

Topics

  • Case Study : R Programming

Hands-on: Case Study to explore R

Projects

Covers Data Manipulation and Analysis.

Key Features

30 hours of Instructor led Training
70 hours of Assignments
Comprehensive Coverage on Basic and Advanced R
Learn the use of R’s data analysis tools to process large amounts of data
Work on a project by incorporating R coding, functions and models

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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Prasad Anvekar

SDE 1 at TESCO from Bangalore, India
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Jin Shi

Director at Timber creek Asset Management from Toronto, Canada
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Richard Dsouza

Business Analyst at Valtech from Bangalore, India
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Wily Salim

Services Project Engineer at Lendlease from Sydney, Australia

Frequently Asked Questions

R is more than just a statistical language, it is a programming environment with powerful capabilities providing tools and functions that are much in demand in this age of information overload. Top companies whether they are in business, medicine, engineering or science require data scientists who can analyse tons of data and R is the preferred choice of programming language for these data analysts. Not only does it offer powerful data manipulation capabilities but also offers graphics functions that can be used for sharing information in presentations. This course will introduce you to the world of R and take you from the basics of how to install it and its packages to how to use it for statistical analyses. You will also learn through hands-on exercises and examples how to use R graphics and other functionalities.

  • 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 does offer virtual training. Call us for more information on the same.

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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