R Programming Training by Experts

;

Our Training Process

R Programming - Syllabus, Fees & Duration

THE ART OF R PROGRAMMING

    INTRODUCTION
    • Why Use R for Your Statistical Work?
    • Object-Oriented Programming
    • Functional Programming?
    • Functional Programming?
    INSTALLING R
    • Downloading R from CRAN
    • Installing from Source
    GETTING STARTED
      How to Run R
      • Interactive Mode
      • Batch Mode
    First R Session
      Introduction to Functions
      • Variable Scope
      • Default Arguments
      Preview of Some Important R Data Structures
      • Vectors, the R
      • Character Strings
      • Matrices
      • Lists
      • Arrays
      • Data Frames
      VECTORS
        Scalars, Vectors, Arrays, and Matrices
        • Adding and Deleting Vector Elements
        • Obtaining the Length of a Vector
        • Matrices and Arrays as Vectors
        Declarations
        Common Vector Operations
        • Vector Arithmetic and Logical Operations
        • Vector Indexing
        • Generating Useful Vectors with the : Operator
        • Generating Vector Sequences with seq()
        • Repeating Vector Constants with rep
        Vectorized Operations
        • Vector In, Vector Out
        • Vector In, Matrix Out
        NA and NULL Values
        • Using NA
        • Using NULL
        Filtering
        • Generating Filtering Indices
        • Filtering with the subset() Function
        • The Selection Function which
        A Vectorized if-then-else: The ifelse() Function
        • Extended Example: A Measure of Association
        • Extended Example: Recoding an Abalone Data Set
        Testing Vector Equality
        Vector Element Names
        More on c()
      MATRICES AND ARRAYS
        Creating Matrices
        • General Matrix Operations
        • Performing Linear Algebra Operations on Matrices
        • Matrix Indexing
        • Filtering on Matrices
        Applying Functions to Matrix Rows and Columns
        • Using the apply() Function
        • Extended Example: Finding Outliers
        • Adding and Deleting Matrix Rows and Columns
        • Changing the Size of a Matrix
        More on the Vector/Matrix Distinction
        Avoiding Unintended Dimension Reduction
        Naming Matrix Rows and Columns
        Higher-Dimensional Arrays
      LISTS
        Creating Lists
        General List Operations
        • List Indexing
        • Adding and Deleting List Elements
        • Getting the Size of a List
        Accessing List Components and Values
        Applying Functions to Lists
        • Using the lapply() and sapply() Functions
      ARRAYS
      • Naming Columns and Rows
      • Accessing Array Elements
      • Check if an Item Exists
      • Amount of Rows and Columns
      • Array Length
      • Manipulating Array Elements
      • Calculations Across Array Elements
      DATA FRAMES
        Creating Data Frames
        • Accessing Data Frames
        Other Matrix-Like Operations
        • Extracting Subdata Frames
        • More on Treatment of NA Values
        • Using the rbind() and cbind() Functions and Alternatives .
        • Applying apply()
        Merging Data Frames
        • Extended Example: An Employee Database
        Applying Functions to Data Frames
        • Using lapply() and sapply() on Data Frames
      FACTORS AND TABLES
        Factors and Levels
        Common Functions Used with Factors
        • The tapply() Function
        • The split() Function
        • The by() Function
        Working with Tables
        • Matrix/Array-Like Operations on Tables
        • Extended Example: Extracting a
        Other Factor- and Table-Related Functions
        • The aggregate() Function
        • The cut() Function
      R PROGRAMMING STRUCTURES
        Control Statements
        • Loops
        • Looping Over Non vector Sets
        • if-else
        Arithmetic and Boolean Operators and Values
        Default Values for Arguments
        Return Values
        • Deciding Whether to Explicitly Call return()
        • Returning Complex Objects
        Functions Are Objects
        Environment and Scope Issues
        The Top-Level Environment
        • The Scope Hierarchy
        • More on ls()
        • Functions Have (Almost) No Side Effects
        No Pointers in R
        Writing Upstairs
        • Writing to Nonlocals with the Super assignment Operator
        • Writing to Nonlocals with assign()
        When Should You Use Global Variables?
        Replacement Functions
        • What’s Considered a Replacement Function?
        Tools for Composing Function Code
        • Text Editors and Integrated Development Environments
        The edit() Function
        Writing Your Own Binary Operations
        Anonymous Functions
      DOING MATH AND SIMULATIONS IN R
        Math Functions
        • Extended Example
        • Cumulative Sums and Products
        • Minima and Maxima
        Functions for Statistical Distributions
        Sorting
        Linear Algebra Operations on Vectors and Matrices
        • Extended Example: Vector Cross Product
        • Set Operations
        Simulation Programming in R
        • Built-In Random Variate Generators
        • Obtaining the Same Random Stream in Repeated Runs
      INPUT/OUTPUT
        Accessing the Keyboard and Monitor
        • Using the scan() Function
        • Using the readline() Function
        • Printing to the Screen
        Reading and Writing Files
        • Reading a Data Frame or Matrix from a File
        • Reading Text Files
        • Introduction to Connections
        • Extended Example
        • Accessing Files on Remote Machines via URLs
        • Writing to a File
        • Getting File and Directory Information
      STRING MANIPULATION
        An Overview of String-Manipulation Functions
        • grep()
        • nchar()
        • paste()
        • sprintf()
        • substr
        • strsplit()
        • regexpr()
        Regular Expressions
        • Extended Example
      R DATA INTERFACES
        R - CSV Files
        • Reading a CSV File
        • Analyzing the CSV File
        • Writing into a CSV File
        R - Excel Files
        • Install xlsx Package
        • Reading the Excel File
        R - Binary Files
        • Writing the Binary File
        • Reading the Binary File
        R - XML Files
        • Reading XML File
        • XML to Data Frame
        R - JSON Files
        • Install rjson Package
        • Read the JSON File
        • Convert JSON to a Data Frame
        R - Database
        • RMySQL Package
        • Connecting R to MySql
        • Querying the Tables
        • Query with Filter Clause
        • Updating Rows in the Tables
        • Inserting Data into the Tables
        • Creating Tables in MySql
        • Dropping Tables in MySql
      GRAPHICS
        Creating Graphs
        • The Workhorse of R Base Graphics: The plot() Function
        • R - Pie Charts
        • R - Bar Charts
        • R - Boxplots
        • R - Histograms
        • R - Line Graphs
        • R - Scatterplots
        • Starting a New Graph While Keeping the Old Ones
        • Extended Example
        • Adding Points: The points() Function
        • Adding a Legend: The legend() Function
        • Adding Text: The text() Function
        • Pinpointing Locations: The locator() Function
        • Restoring a Plot
        • Customizing Graphs
        • Changing Character Sizes: The cex
        • Changing the Range of Axes: The xlim and ylim Options
        • Graphing Explicit Functions
        • Extended Example
        Saving Graphs to Files
        • R Graphics Devices
        • Saving the Displayed Graph
        • Closing an R Graphics Device
        Creating Three-Dimensional Plots
      R Statistics
        R Statistics Intro
        R Data Set
        R Max and Min
        R Mean Median Mode
        R Percentiles
      INSTALLING AND USING PACKAGES
        Package Basics
        Loading a Package from Your Hard Drive
        Downloading a Package from the Web
        Installing Packages Automatically
        Installing Packages Manually
        Listing the Functions in a Package

    Download Syllabus - R Programming
    This syllabus is not final and can be customized as per needs/updates
 
10000+
20+
50+
25+

R Programming Jobs in Darwin

Enjoy the demand

Find jobs related to R Programming in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Darwin, chennai and europe countries. You can find many jobs for freshers related to the job positions in Darwin.

  • R Programmer
  • Data Scientist
  • Software Engineer
  • Software Technologist
  • R - Shiny Programmer
  • Analytics Engineer
  • R Programming Trainer

R Programming Internship/Course Details

R Programming internship jobs in Darwin
R Programming Because of its open source credibility, R programming is quickly becoming most in expert in the field of analytics. You'll learn how to build and setup software for a statistical programming environment, as well as how to represent generic programming language concepts in a high-level statistical language. While teaching R Programming in the classroom, our Nestsoft trainers discuss their previous and current project experiences with candidates, allowing them to gain exposure to real-world business experience. Nestsoft is the excellent R programming Training in kerala . However, reasonable experience is required for this. Many large companies, including prominent banks, IT, retail, healthcare, pharmaceutical, supply chain, and logistics industries, adopt R. The course provides students hands-on experience with a variety of R programming principles. We offer training who do not have a background in statistics. With the help of R programming, massive datasets may be analysed in less time. The course is designed with statistics students in consideration.

Meet a Few of our Industry Experts 🚀 Your Pathway to IT Career

Sphelele

Mobile: +91 94975 90866
Location: Bihar, Online (Darwin)
Qualification: Matric

Experience: Reactjs Nodejs Frontend dev technologies Mobile development Mern stack dev   more..

Kshitij

Mobile: +91 94975 90866
Location: Jharkhand, Online (Darwin)
Qualification: BTech

Experience: Organisation | ZURAVERSE | Software 01 Dec 2020 - 10Jan 2020 Key Skills: JavaScript React Next js ● Part of  more..

Lavleen

Mobile: +91 89210 61945
Location: Dadar and Nagar Haveli, Online (Darwin)
Qualification: M.Tech

Experience: - Proficient in utilizing software development tools and technologies such as HTML CSS PHP Laravel Javascript JQuery Git GitHub GitLab  more..

Stephy

Mobile: +91 9895490866
Location: Changanacherry , Online (Darwin)
Qualification: MCA

Experience: MCA fresher graduate Skills in SQL php Java Microsoft office  more..

Asma

Mobile: +91 91884 77559
Location: chennai, Online (Darwin)
Qualification: Btech CSE

Experience: software development fullstack development reactjs nodejs tailwindcss wix  more..

Rahul

Mobile: +91 89210 61945
Location: Kerala, Online (Darwin)
Qualification: B.tech Graduate

Experience: I have completed 6 months training at Obsqura Zone Tvm on Manual Testing and Selenium Automation testing Skills: Basic Java  more..

Sherin

Mobile: +91 9895490866
Location: Kochi, Online (Darwin)
Qualification: B com

Experience: I am a mern stack developer with good understanding of the work I do and do it thoroughly and fastly  more..

Harsh

Mobile: +91 91884 77559
Location: Gujarat, Online (Darwin)
Qualification: Pursuing B.Tech IT

Experience: My skills and experience encompass a solid foundation in IT security principles bolstered by my Fortinet Certified Fundamentals (FCF) cybersecurity  more..

Astha

Mobile: +91 91884 77559
Location: Maharashtra, Online (Darwin)
Qualification: Btech CSE

Experience: WordPress Plugin development Theme development React JavaScript Jquery Ajax HTML CSS MySQL  more..

Hala

Mobile: +91 94975 90866
Location: Kozhikode, Online (Darwin)
Qualification: Btech computer science

Experience: Having 1 year and 5 month experience as odoo developer Strong knowledge in odoo modules and customization  more..

RITHIKA

Mobile: +91 8301010866
Location: Tamil Nadu, Online (Darwin)
Qualification: B.Tech

Experience: I am an aspiring UX Designer To boldly purse continuous learning and personal growth while creating user friendly products that  more..

Manpreet

Mobile: +91 91884 77559
Location: Uttar Pradesh, Online (Darwin)
Qualification: B.Tech

Experience: I’m a graphic designer… over the three years my designs have specialised in party events where we take a bundle  more..

Rajin

Mobile: +91 9895490866
Location: Kakkanad, Online (Darwin)
Qualification: B tech

Experience: 2 year experience in manual testing and currently done automation testing looking more Opportunitys  more..

Karuppasamy

Mobile: +91 94975 90866
Location: Madurai, Online (Darwin)
Qualification: B.Tech.,IT

Experience: Odoo 11 12 14 python xml NodeJS Postgresql  more..

megha

Mobile: +91 91884 77559
Location: Maharashtra, Online (Darwin)
Qualification: Msc computer science

Experience: I have 2 years of experience in Android development during which I have honed my skills in Java and Kotlin  more..

Ninad

Mobile: +91 91884 77559
Location: Maharashtra, Online (Darwin)
Qualification: B.Tech

Experience: I have good knowledge of linux SQL and cybersecurity With this i have 6 months hands on experience on full  more..

Dhaval

Mobile: +91 89210 61945
Location: rajkot, Online (Darwin)
Qualification: BE -EC

Experience: Hello Sir Dhaval here Greetings for the day ! I am an Odoo developer I want to apply for the  more..

Nowfia

Mobile: +91 89210 61945
Location: Ashtamichira, Online (Darwin)
Qualification: B.tech CSE

Experience: *Manual testing:sdlc stlc levels of testing buglife cycle test case test scenario preparation bugreport preparation *Automation testing :basic work knowledge  more..

Success Stories

The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.

Photos of Training / Internships

Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin
Internship/projects in darwin

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer