Best R Programming Training in Bangalore

Best  R Programming Training in Bangalore at HSR , BTM & Koramangala:

Akshara Software Technologies is providing the best R Programming training in HSR layout, BTM Layout, and koramangala with most experienced professionals. Our trainer working in R Programming and related technologies for more 11 years in MNC’s. We are offering R Programming Classes in Bangalore in  more practical way. We are offering R Programming Classroom training Bangalore, R Programming Online Training and R Programming Corporate Training Bangalore. We framed our syllabus to match with the real world requirements for both beginner level to advanced level. R Programming Classes in HSR conducting in week day ,week end both morning and evening batches based on participant’s requirement. We do offer Fast-Track R Programming Training Bangalore and also One-to-One R Programming Training in Bangalore.Our participants will be eligible to clear all type of interviews at end of our sessions. Our R Programming classes in HSR focused on assisting in placements as well. Our R Programming Training Course Fees is very affordable compared to others.Our Training Includes R Programming Real Time Classes Bnaglore , R Programming Live Classes , R Programming Real Time Scenarios

R Programming Training In Bangalore HSR Layout, BTM & Koramangala:
R Programming Course Details:
  • Duration : 65-70 Hours (Basic +Advance+Automation)
  • Demo and First 3 classes free
  • Real Time training with  hands on Project
  • Assignment and Case Studies
  • Week Day & Week End Batches

An Overview of the R Language Training :

  • Expressions
  • Objects
  • Symbols
  • Functions

Objects Are Copied in Assignment Statements

  • Everything in R Is an Object
  • Special Values
  • Coercion
  • The R Interpreter

R Syntax

  • Constants
  • Numeric Vectors
  • Character Vectors
  • Symbols
  • Operators
  • Order of Operations
  • Assignments
  • Expressions
  • Separating Expressions
  • Parentheses
  • Curly Braces
  • Control Structures
  • Conditional Statements

Loops

  • Accessing Data Structures
  • Data Structure Operators
  • Indexing by Integer Vector
  • Indexing by Logical Vector
  • Indexing by Name
  • R Code Style Standards

R Objects

  • Primitive Object Types
  • Vectors
  • Lists
  • Other Objects
  • Matrices
  • Arrays
  • Factors
  • Data Frames
  • Formulas
  • Time Series
  • Shingles
  • Dates and Times
  • Connections
  • Attributes
  • Class

High-Performance R

  • Monitor How Much Memory You Are Using
  • Monitoring Memory Usage
  • Increasing Memory Limits
  • Cleaning Up Objects
  • Functions for Big Data Sets
  • Parallel Computation with R
  • High-Performance R Binaries
  • Revolution R
  • Building Your Own

Saving, Loading, and Editing Data

  • Entering Data Within R
  • Entering Data Using R Commands
  • Using the Edit GUI
  • Saving and Loading R Objects
  • Saving Objects with save
  • Importing Data from External Files
  • Text Files
  • Other Software
  • Exporting Data
  • Importing Data from Databases
  • Export Then Import
  • Database Connection Packages
  • RODBC
  • DBI
  • TSDBI

Symbols and Environments

  • Symbols
  • Working with Environments
  • The Global Environment
  • Environments and Functions
  • Working with the Call Stack
  • Evaluating Functions in Different Environments
  • Adding Objects to an Environment
  • Exceptions
  • Signaling Errors
  • Catching Errors

Preparing Data

  • Combining Data Sets
  • Pasting Together Data Structures
  • Merging Data by Common Fields
  • Transformations
  • Reassigning Variables
  • The Transform Function
  • Applying a Function to Each Element of an Object
  • Binning Data
  • Shingles
  • Cut
  • Combining Objects with a Grouping Variable
  • Subsets
  • Bracket Notation
  • subset Function
  • Random Sampling
  • Summarizing Functions
  • tapply, aggregate
  • Aggregating Tables with rowsum
  • Counting Values
  • Reshaping Data
  • Data Cleaning
  • Finding and Removing Duplicates
  • Sorting
  • Table

Graphics

  • An Overview of R Graphics
  • Scatter Plots
  • Plotting Time Series
  • Bar Charts
  • Pie Charts
  • Plotting Categorical Data
  • Three-Dimensional Data
  • Plotting Distributions
  • Box Plots
  • Graphics Devices
  • Customizing Charts
  • Common Arguments to Chart Functions
  • Graphical Parameters
  • Basic Graphics Functions

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Demo & More Details ?

Whats-App Or Call –  9686770604

Akshara Software Technologies

HSR Ring Road , Near Silk Board

Location Map : https://goo.gl/maps/9KiwzHxXL6S2

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