Programmer ▪ Analyst ▪ Designer ▪ Administrator ▪ QA ISO 9001 : 2008 Certified Institute

R Language Course Content

  1. Overview

    R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

    R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.

  2. R Language Course Outline

    Overview of R Programing. Why R Programing?
    • R Programing Environment setup
    • R - Reserved Words
    • R - Variables and Constants
    • R - Operators
    • R - Programming if...else
    • R - Programming for loop
    • R - while Loop
    • R - break & next
    • R - repeat Loop

    Functions
    • Function Return Value
    • R - Environment & Scope
    • R - Recursive Function
    • R - Switch Function
    • R - String Handling

    R - Vectors
    • R - Lists
    • R - Matrices
    • R - Arrays
    • R - Factors
    • R - Data Frames
    • R - Packages
    • R - Data Reshaping

    Data Import/Export (ETL)
    • R - CSV Files
    • R - Excel Files
    • R - Binary Files
    • R - XML Files
    • R - Web Data
    • R - Database

    My SQL Server - Database Envrionment
    • DDL Statement
    • DML Statement
    • Where clause, Operator
    • Order By
    • Function
    • Group By, Having
    • Data type
    • Constrains/Integrity
    • Subquery
    • Union
    • Join

    Basic Data Visualization
    • R - Pie Charts
    • R - Bar Charts
    • R - Boxplots
    • R - Histograms
    • R - Line Graphs
    • R - Scatterplots

    Advanced Data Visualization
    • Heat Map
    • Mosaic Map
    • Map Visualization
    • 3D Graphs
    • Correlogram

    Statistics
    • R - Mean, Median & Mode
    • R - Linear Regression
    • R - Multiple Regression
    • R - Logistic Regression
    • R - Normal Distribution
    • R - Binomial Distribution
    • R - Time Series Analysis

    Statistics – Extended
    • R - Nonlinear Least Square
    • R - Decision Tree
    • R - Random Forest
    • R - Survival Analysis
    • R - Chi Square Tests

    R Text Mining
    • Loading Texts
    • Preprocessing
    • Stage the Data
    • Explore your data
    • Focus!
    • Word Frequency
    • Plot Word Frequencies

    Relationships Between Terms
    • Term Correlations
    • Word Clouds!
    • Clustering by Term Similarity
    • Hierarchal Clustering
    • K-means clustering

Navigate to

Advertisment

ad

X

Request a call back