Grafx-IT-Solutions
R-PROGRAMMING
- About
- Duration
R is a programming language and open-source software widely used for statistical computing and data analysis. Developed by statisticians and data scientists, R provides a robust environment for manipulating, visualizing, and modeling data. Its extensive library of packages and functions supports various statistical techniques and machine learning algorithms. R is popular in academia, research, and industries for its flexibility and the vibrant community contributing to its development. With a syntax designed for data analysis, R is a powerful tool for professionals seeking to explore, interpret, and communicate insights from diverse datasets.
Length :45 Hours
Course Content
- R – OVERVIEW
- R – ENVIRONMENT SETUP
- R – BASIC SYNTAX
- R – DATA TYPES
- R – VARIABLES
- R – OPERATORS
- R – DECISION MAKING
- R – LOOPS
- R – FUNCTION
- R – STRINGS
- R – VECTORS
- R – LISTS
- R – MATRICES
- R – ARRAYS
- R – FACTORS
- R – DATA FRAMES
- R – PACKAGES
- R – DATA RESHAPING
- R – CSV FILES
- R – EXCEL FILE
- R – BINARY FILES
- R – XML FILES
- R – JSON FILE
- R – WEB DATA
- R – DATABASES
- R – PIE CHARTS
- R – BAR CHARTS
- R – BOXPLOTS
- R – HISTOGRAMS
- R – LINE GRAPHS
- R – SCATTERPLOTS
- R – MEAN, MEDIAN & MODE
- R – LINEAR REGRESSION
- R – MULTIPLE REGRESSION
- R – LOGISTIC REGRESSION
- R – NORMAL DISTRIBUTION
- R – BINOMIAL DISTRIBUTION
- R – POISSON REGRESSION
- R – TIME SERIES ANALYSIS
- R – NONLINEAR LEAST SQUARE
- R – DECISION
- R – RANDOM FOREST
- R – SURVIVAL ANALYSIS
- R – CHI SQUARE TEST