Business Analytics with R

R is a free, open source language used for statistical computing, Data visualization, Data manipulation and Data exploration. It’s easy to install and use. R is one of the best data Analyst tool in the market. The course is designed to give in depth knowledge with lots of practical training.

Course Objective

After completion of the course student have an expertise on following areas

  • Be an expert in using R for Data manipulation, Data visualization and data exploration.
  • Learn how to do programming with R
  • In depth knowledge of Predictive Analytics with R.
  • Complete understanding of R setup 

Who should do this course – SAS Professionals, IT Manager, Data Analysts and Hadoop Professionals.

Prerequisite: - The person should have good Analytical skills, Basic programming knowledge (C, C++)

Introduction to R Programming

  • What is R
  • Role Of Analytics in Companies
  • History Of R
  • Features Of R
  • Basics Of R , R-Studio , R Markdown
  • Data Types , Variable assignment

Obtaining and Managing R

  • Installation Of R
  • Packages
  • Input / Output
  • R Interfaces
  • R Library

Vectors

  • Analyse behaviour using vectors
  • Comparing vectors
  • Selection from vectors
  • Sorting Of vectors

Matrices

  • Work with matrices in R
  • Computation with matrices
  • Comparing matrices
  • Selection from matrices
  • Sorting of matrices

Data Management

  • Reading Data
  • Writing Data
  • Reading data files with tables
  • Files connection
  • Reading lines of text files

Data Frames

  • Learn how to create data frames
  • Data sets and structure
  • Selection from data frames
  • Sorting of data frames

Lists

  • How to create list
  • List and data structure
  • Selection and sorting of list

Importing Data into R

  • Importing data from flat files
  • Importing data from excel
  • Importing data from databases
  • Importing data from the web

 

  • Writing Functions

 

  • Function Arguments and options

 

  • Loops

 

  • Graphics and Plotting using R

 

  • Data Manipulation and Cleaning Data in R

 

  • Pattern Matching

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