R Programming online training in hyderabad

R Programming online training in hyderabad

R Programming Online Training in Hyderabad


R Programming is a software computing programming language. It is widely used by statisticians and data miners for developing statistical software

Faculty : Real Time Expert   |    Duration : 25hrs    |   Material : Yes   |

Itabhyas videos tutorials

Itabhyas online training is the Best   R Programming  Online Training in Hyderabad, Bengaluru, Chennai, India.

About R Programming

R Programming is a software computing programming language. It is widely used by statisticians and data miners for developing statistical software .R programming is a specialized tool for data analysis and practical. After completion of the course students will be able to handle live projects.

The Course objectives

    A part from general topics candidate will be able to handle special topics such as

  • In depth Knowledge on R programming language
  • Understanding of statistical analysis like linear and logistics , cluster analysis and forecasting
  • Knowledge on Database Connectivity , Reading data to ODBC Tables
  • Linear Regression, Logistic Regression
  • Understand Integration of R with Hadoop
  • Prepare a comprehensive Case Study on R Programming using Hadoop

Who should go for this course?

  • IT professionals who wants to become a data scientists
  • Data analyst
  • SAS Developers
  • Statistical students
  • Business intelligence professionals

R Programming Online Training batches will start every week. Make a call on +91-9030403937 or send a mail to info@itabhyas.com For

R Programming Online Training in Hyderabad, Bengaluru, Chennai, India.

R Programming Online Training Course Content

Introduction to Data Science

  • Introduction to Data, Tables, Database, ETL, EDW
  • What is Data Science?
  • Popular Tools
  • Role of Data Scientist
  • Analytics Methodology

    R Introduction

  • Introduction to R Foundation
  • Software Installation on Various Operating Systems
  • Introduction to Real Time Applications
  • Introduction to Popular Packages

    R Syntax

  • A gentle introduction to R expressions
  • Variables
  • Functions


  • Grouping values into vectors
  • Arithmetic Operations on Vectors
  • Graphs with them


  • Creating and graphing two-dimensional data sets
    Summary Statistics
  • Sum, Mean, Average, Minimum and Maximum
  • Median, Percentile and standard deviation


  • Creating and plotting categorized data
    • Data Frames

    • Organizing values into data frames
    • Loading frames from files and merging them

      Working With Real-World Data

    • Testing for correlation between data sets
    • Linear models and installing additional packages

      Probability Distribution

    • The Normal Distribution
    • The t Distribution
    • The Binomial Distribution
    • The Chi-Squared Distribution

      Basic Plots

    • Strip Charts
    • Histograms
    • Boxplots
    • Scatter Plots
    • Normal QQ Plots

    Intermediate Plotting

    Continuous Data

    • Multiple Data Sets on One Plot
    • Error Bars
    • Adding Noise (jitter)
    • Multiple Graphs on One Image
    • Density Plots
    • Pairwise Relationships
    • Shaded Regions
    • Plotting a Surface

    Discrete Data

  • Barplot
  • Mosaic Plot
    • Miscellaneous Options

    • Multiple Representations on One Plot
    • Multiple Windows
    • Print to A File
    • Annotation and Formatting

      Indexing Into Vectors

    • Indexing with Logical
    • Not available or Missing Values
    • Indices with Logical Expressions

      Two Way Tables

    • Creating a Table From Data
    • Creating a Table From Directory
    • Tools for Working with Tables
    • Graphical Views of Tables

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