R Programming online training in hyderabad

18 Mar

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

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

Vectors

Grouping values into vectors
Arithmetic Operations on Vectors
Graphs with them

Matrices

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

Factors

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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