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Understand key principles of R programming. Join today to learn from an R programming expert.

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Course Duration

25 Hrs.

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  • R is an open-source statistical programming language and framework that's extensively used for a wide range of scientific applications, comprising machine learning. R is one of the popular skill requirements for job openings in AI and Data Science. This specific R Programming Training in Gurgaon has been specially designed to be focused on the practical section of coding in R - instead of letting you know about every function and method out there. This specific course will help you know every side in detail. You will this language offers a wide series of statistics-related libraries and offers a preferred environment for statistical computing and design.
  • If you genuinely want to pursue this field and looking for an institution to get started, then Croma Campus. Yes, its being considered as one of the best R Programming Training Institute in Gurgaon so far, where you will not only end up imbibing a detailed insight into this subject but placement assistance as well.

R Programming Training in Gurgaon

About-Us-Course

  • After enrolling in R Programming Online Course, you will get the opportunity to examine each part of this subject in a much more explained manner. Our trainers will also help you to understand every section more easily.
    • In the beginning, you will first know its fundamentals.

      Further, you will receive sessions concerning how to install R and R Studio

      You will also get to know about how to manipulate R Data Frames, plotting Data Using R, analyzing Real Datasets using R, organizing your Code in R, and building your own Functions in R.

      Moreover, you will also get the opportunity to know how to load Excel Files with R

      You will also know how to aggregate and sort Data

      Our trainers will also let you know how to install External Libraries to Power up R.

      You will also end up plotting Data Using R.

      Moreover, you will end up acquiring detailed information on R Programming in an explained manner.

  • R Programming is genuine of a well-paid direction. There has been a lot of stirs concerning the salary package in this field. But it really pays well. Yet, if you want to know about the exact salary slabs, getting started with R Programming course will be useful for your career.
    • A fresher R Programmer earns around Rs 3,92,000 per annum.

      Likewise, an experienced R Programmer will earn Rs 5,00,000 per annually.

      By imbibing more skills, and work experience in this specific direction, your salary structure will eventually get better.

      With this valuable accreditation in hand, you will get the chance to enter a good workplace.

      By turning into a freelancer as well, you will end up making more additional income.

  • Well, in the present scenario, R programming is one of the most common tools utilized for data science which is a worth-pursuing direction. Well, numerous high-profile organizations are utilizing the R language and are hiring R programmers across the globe. If your interest lies in this direction, opting R Programming Training in Gurgaon will be suitable for your career.
    • By getting started with this course, you will turn into a knowledgeable R Programmer.

      Enrolling in this course will allow you to analyze this subject right from the scratch.

      By knowing its every side, you will end up acquiring a higher position.

      Your basic R Programming knowledge will get strengthened.

      You will have several international jobs offers in hand as well.

  • There is a wide range of tasks that an R Programmer has to execute. If you also aspire to turn into a skilled R Programmer, you must know some of these roles. To analyze the job roles in a detailed manner, you must get associated with a proper R Programming Training Institute in Gurgaon respectively.
    • Firstly, you will have to create simulations and graphical representations.

      You will also have to execute data analysis procedures.

      Your main job role will comprise coding, troubleshooting, and visualization.

      Further, you will have to design statistical models and procedures

      In fact, you might also have to build machine learning and statistical analysis tools for the business.

      Often, you will have to take in your teammate's suggestions, and solve their query as well.

  • Well, at the moment, you will find numerous highlighting reasons to get started with this specific course. Moreover, by acquainting information concerning R Programming Training in Gurgaon, you will grow in this field a bit quicker and obtain a higher position as well. By associating with a legitimate R Programming Training Institute in Gurgaon, you will get to know some of the main reasons to learn this course.
    • One of the main reasons is its hugely increasing demand for skilled professionals in R Programming.

      Moreover, it has a wide bright future ahead.

      By knowing this technology, you will be able to execute coding without the need of compiler.

      You will get a series of job roles in this field as well.

      Immense openings for skilled developers in huge companies.

  • Moreover, you will find various organizations hiring skilled R Programmers. So, if you are aim is to obtain a job post completing the course, then you genuinely don't have to worry at all as you will surely end up getting into a well-established setup. So, getting started with R Programming Training in Gurgaon will be appropriate for your career.
    • Our faculty members will help you in clearing the interview by often conducting a mock test.

      The main agenda of R Programming Training in Gurgaon is to assist you to get settled in a well-established workplace.

  • From past few years, Croma Campus has been considered the best R Programming Training in Gurgaon. It targets delivering qualitative training in numerous instances. So, if you are also looking to obtain detailed information concerning Tableau, getting associated with Croma Campus will be an ideal move toward your career.
    • Getting in touch with us will give you ample chances to obtain the latest information concerning the R Programming course.

      Here, you will obtain information regarding its related course.

      Croma Campus will offer you with placement assistance.

      Well, right from the beginning, our faculty members will give you suggestive tips to clear the interview process.

Why you should get started with R Programming?

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CURRICULUM & PROJECTS

R Programming Training

    This course is suggested for all those novices and specialists who are keen on working in the analytics industry. R is suitable for all IT professionals like Big data analytics, Business analytics, scientific research, statistical reporting, Econometrics, social science, business intelligence, and business development. Researchers who perform data analysis with higher dimensional graphs. Students who need R for their courses. Prerequisite It is not necessary to have any prior knowledge of R. R is now well thought out to be not just the most popular open-source analytic tool but the most popular analytics tool in the world

    In this program you will learn:

    • Overview :
    • R Programming Basics.
    • Variable types and data structures in base R.
    • Getting data into the R environment.
    • Data frame manipulation.
    • Handling dates in R.
    • Exploratory Data Analysis (Descriptive Statistics).
    • Working with text data.
    • Control flow & functions.
    • Graphics in R Overview.
    • Advanced R graphics.
    • Inferential Statistics.
    • General Linear Regression Models in R.
Get full course syllabus in your inbox

    Overview:

    • History of R
    • Advantages and disadvantages
    • Downloading and installing
    • How to find documentation
Get full course syllabus in your inbox

    R Programming Basics:

    • Using the R console and R Studio
    • Getting help
    • Learning about the environment
    • Writing and executing scripts
    • Object oriented programming
    • Introduction to vectorised calculations
    • Introduction to data frames
    • Installing and loading packages
    • Working directory
    • Saving your work
Get full course syllabus in your inbox

    Variable types and data structures in base R:

    • Variables and assignment
    • Data types
    • Numeric, character, Boolean, and factors
    • Data structures
    • Vectors, matrices, arrays, data frames, lists
    • Indexing, sub-setting
    • Assigning new values
    • Viewing data and summaries
    • Naming conventions
    • Objects
Get full course syllabus in your inbox

    Getting data into the R environment:

    • Built-in data
    • Reading data from structured text files
    • Reading data using ODBC
Get full course syllabus in your inbox

    Data frame manipulation:

    • Introduction to tables, enhanced data frames
    • Renaming columns
    • Adding new columns
    • Binning data (continuous to categorical)
    • Combining categorical values
    • Transforming variables
    • Handling missing data
    • Merging datasets together
    • Stacking datasets together (concatenation)
Get full course syllabus in your inbox

    Handling dates in R:

    • Date and date-time classes in R
    • Formatting dates for modeling
Get full course syllabus in your inbox

    Exploratory Data Analysis (Descriptive Statistics):

    • Continuous data
    • Distributions
    • Quantiles, mean
    • Bi-modal distributions
    • Histograms, box-plots
    • Categorical data
    • Tables
    • Bar plots
    • Group by calculations
    • Split-apply-combine
    • Reshaping and pivoting data in R (long to wide with aggregation)
    • Melt and cast
Get full course syllabus in your inbox

    Working with text data:

    • Finding and matching patterns in text
    • Stringer package for text manipulation
    • Introduction to regular expressions in R
    • Categorical data wrangling with forcats
Get full course syllabus in your inbox

    Control flow & functions:

    • Truth testing
    • Branching
    • Looping
    • Functions
    • Parameters
    • Return values
    • Variable scope
    • Exception handling
    • Applying functions across dimensions
    • Sapply, lapply, apply
    • Programming with map and purr
Get full course syllabus in your inbox

    Graphics in R Overview:

    • Base graphics system in R
    • Scatterplots, histograms, bar charts, box and whiskers, dot plots
    • Labels, legends, titles, axes
    • Exporting graphics to different formats
Get full course syllabus in your inbox

    Advanced R graphics:

    • Understanding the grammar of graphics
    • Quick plots (qplot function)
    • Building graphics by pieces (ggplot function)
    • Understanding geoms (geometries)
    • Linking chart elements to variable values
    • Controlling legends and axes
    • Exporting graphics
Get full course syllabus in your inbox

    Inferential Statistics:

    • Bivariate correlation
    • T-test and non-parametric equivalents
    • Chi-squared test
Get full course syllabus in your inbox

    General Linear Regression Models in R:

    • Understanding formulas
    • Linear and logistic regression models
    • Regression plots
    • Confounding / interaction in regression
    • Evaluating residuals
    • Scoring new data from models (prediction)
    • Useful plots from regression models
Get full course syllabus in your inbox

    Placement Guide:

    • Tips to clear an Interview
    • Common Interview questions and answers
    • R programming Interview Questions and Answers
    • Resume Building Guide
    • Attempt for the related Global Certification Exam
    • Earn Credentials and Start applying for Jobs
Get full course syllabus in your inbox

    History of R

    Advantages and disadvantages

    Downloading and installing

    How to find documentation

Get full course syllabus in your inbox

    Using the R console and R Studio

    Getting help

    Learning about the environment

    Writing and executing scripts

    Object oriented programming

    Introduction to vectorised calculations

    Introduction to data frames

    Installing and loading packages

    Working directory

    Saving your work

Get full course syllabus in your inbox

    Variables and assignment

    Data types

    Numeric, character, Boolean, and factors

    Data structures

    Vectors, matrices, arrays, data frames, lists

    Indexing, sub-setting

    Assigning new values

    Viewing data and summaries

    Naming conventions

    Objects

Get full course syllabus in your inbox

    Built-in data

    Reading data from structured text files

    Reading data using ODBC

Get full course syllabus in your inbox

    Introduction to tables, enhanced data frames

    Renaming columns

    Adding new columns

    Binning data (continuous to categorical)

    Combining categorical values

    Transforming variables

    Handling missing data

    Merging datasets together

    Stacking datasets together (concatenation)

Get full course syllabus in your inbox

    Date and date-time classes in R

    Formatting dates for modeling

Get full course syllabus in your inbox

    Continuous data

    Distributions

    Quantiles, mean

    Bi-modal distributions

    Histograms, box-plots

    Categorical data

    Tables

    Bar plots

    Group by calculations

    Split-apply-combine

    Reshaping and pivoting data in R (long to wide with aggregation)

    Melt and cast

Get full course syllabus in your inbox

    Finding and matching patterns in text

    Stringer package for text manipulation

    Introduction to regular expressions in R

    Categorical data wrangling with forcats

Get full course syllabus in your inbox

    Truth testing

    Branching

    Looping

    Functions

    Parameters

    Return values

    Variable scope

    Exception handling

    Applying functions across dimensions

    Sapply, lapply, apply

    Programming with map and purr

Get full course syllabus in your inbox

    Base graphics system in R

    Scatterplots, histograms, bar charts, box and whiskers, dot plots

    Labels, legends, titles, axes

    Exporting graphics to different formats

Get full course syllabus in your inbox

    Understanding the grammar of graphics

    Quick plots (qplot function)

    Building graphics by pieces (ggplot function)

    Understanding geoms (geometries)

    Linking chart elements to variable values

    Controlling legends and axes

    Exporting graphics

Get full course syllabus in your inbox

    Bivariate correlation

    T-test and non-parametric equivalents

    Chi-squared test

Get full course syllabus in your inbox

    Understanding formulas

    Linear and logistic regression models

    Regression plots

    Confounding / interaction in regression

    Evaluating residuals

    Scoring new data from models (prediction)

    Useful plots from regression models

Get full course syllabus in your inbox

    Tips to clear an Interview

    Common Interview questions and answers

    R programming Interview Questions and Answers

    Resume Building Guide

    Attempt for the related Global Certification Exam

    Earn Credentials and Start applying for Jobs

Get full course syllabus in your inbox

+ More Lessons

Need Customized curriculum?

Mock Interviews

Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
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FAQ's

Croma Campus provides Best R Programming Training in Gurgaon as per the current industry standards, our training programs will enable professionals to secure placements in MNCs. The R programming language is used for data analysis, data manipulation, graphics, statistical computing, and statistical analysis. In short, R helps you analyze data sets beyond basic Excel file analysis. R is a free software environment that runs on a wide variety of UNIX platforms, Linux, Windows, and Mac OS.

Our strong associations with top organizations like HCL, Wipro, Dell, Birla soft, Tech-Mahindra, TCS, IBM, etc. make us capable to place our students in top MNCs across the globe.

Learn R Programming through our Data Science Certification Course. We will help you master R tool for statistical computing and graphics, Certifications can be done directly from the website.

You will get study material in the form of E-Books, Online Videos, Certification Handbooks, Certification Dumps and 500 Interview Questions along with Project Source material.

Anyone who wishes to establish their career in the IT domain.

Yes, by acquiring adequate guidance, you will find this course easy to understand.

Yes, here, you will surely get placement assistance as you finish the 75% of your course.

You will receive R Programming training from highly qualified experts holding several years of experience in this field.

The ways to connect Croma Campus.

  • Phone number: +91-120-4155255, +91-9711526942
  • Email: - info@cromacampus.com
  • Address: – G-21, Sector-03, Noida (201301)

Career Assistancecareer assistance
  • - Build an Impressive Resume
  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired
Are you satisfied with our Training Curriculum?

If yes, Register today and get impeccable Learning Solutions!

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