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# "R Programming Training" is no longer available

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Malleshwaram, Bangalore

Course ID: 45823

Malleshwaram, Bangalore

No Reviews Yet

## About the Course

Further to the training query, we appreciate your interest in learning. Please walk-in for free /Demo class on with prior information. We do have fast track & regular batch also - weekdays & weekends.

R Course Content:

1 â?? How R Works

• Data mining Using Statistical packages

• A Few concepts Before Starting

2â??R-Packages  /Sorting

• R-Calculator

• Assigning Values To Variables

• Vector Creation

• Generating Repeats

• What is rep Function

• Generating Factor Levels

• Sorting Process

• Transpose Function

• Stack Function Used

3 â?? Functions & Reading Data from External Files

• Merge Function

• Strsplit Function

• Matrices

• Matrix Manipulation

• Row Sums

4â?? Generating Plots and Pie Charts

• Line Plots

• Bar Plots

• Bar Plots For Population

• Histogram

• Pie Chart Components

5 â?? Analysis of Variancy (ANOVA)

• One Way Analysis of Variance

• Two Way Analysis of Variance

6 â?? What is Cluster Analysis

• K-Means Clustering

• Cluster Algorithm Working

7 â?? Association Rule Mining Affinity Analysis

• Association Rule Mining Affinity Analysis

8 â?? Two Variable RelationShips

• Linear Regression

• Dependent And Independent Variables

• Scatter Plots

9 â?? Database connectivity & Logistic Regression

• Logistic Regression

• Examples of Logistic Regression

• Logistic Regression in R

• Predication

10 â?? ROC Curve in R

• Confusion Matrix

• ROC Curve in R

• Sensitivity & Specificity

• Data Base Connectivity RODBC

• Reading Data to ODBC Tables

• Function (Mean)

• Examples Of Function

11 â?? Integrating R with Hadoop

• Methods to integrate two popular open source softwares for Big Data analytics: R and Hadoop

• -Integrating R with Hadoop using RHadoop and RMR package

• Exploring RHIPE (R Hadoop Integrated Programming Environment)

• Writing MapReduce Jobs in R and executing them on Hadoop

Case Study-Project Work

• Predict Annual Restaurant Sales Based on Objective Measurement

• Data Overview

• Data Fields

• Evaluation using RMSE

• Feature Engineering / Selection

Not decided yet.

## About the Trainer

5 Avg Rating

3 Reviews

4 Students

36 Courses

Mr. Nandu Y is a consultant who has 7+ years of experience in Development & Training of C/C++, Android,JAVA, J2EE&J2ME in the area of Mobile Application development, e-Security, Network Programming and Cryptography. Presently working as a Senior Software Developer. he is trained various corporate clients Mphasis, TCS, IBM, Samsung India, Sony India, Teleca India, Sasken Communication, Philips Electronics India Ltd & many More.

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