Data Science With R

by Training Singapore Claim Listing

This R programming course in Singapore forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science.

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Course Details

Data Science With R Course Curriculum

This R programming course in Singapore forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science.

By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc

  • Introduction to Data Science Methologies

  • Data Types

  • Introduction to Data Science Tools

  • Statistics

  • Approach to Business Problems

  • An overview of Analytics

  • Models and Algorithms

  • Importance of Data Science

  • Data Science as a Strategic Asset

  • R, Python, WEKA, RapidMiner

 

Overview Of R

Introduction to R

  • Data Structures and Manipulation in R

  • Installing R on Various Operating Systems

  • IDEs for R

  • Steps in R Initiation

  • Installing an R Package

 

Overview Of Business Analytics

  • Introduction to Business Analytics

  • Analytics Technology and Resources

  • Need of Business Analytics

  • Types and Features of Business Analytics

  • Descriptive and Predictive Analytics

  • Business Decisions

  • Analytical Tools

  • Data Science as a Strategic Asset

 

Data Visualization And Manipulation

  • Introduction

  • Types of Graphics

  • Save Graphics to a File

  • Graphics in R

  • Create a word cloud

  • Exporting Graphs in EStudio

 

Hypothesis Testing

  • Need of Hypothesis Testing in Businesses

  • Chances of Errors in Sampling

  • Level of Significance

  • Types of Statistical Hypothesis Tests

  • Test Statistic

  • Types of Errors

  • Use Normal and Student Probability Distribution Functions

  • Objectives of Null Hypothesis Test

  • Use Chi-Squared Test Statistics

 

Logistic Regression Analysis

  • Introduction to Regression Analysis and Usage

  • Types of Regression Analysis

  • Interaction Regression Model

  • Correlation

  • Logit Function

  • Lift charts

  • Decile Analysis

 

Cluster Analysis Classification Models

  • Introduction to Cluster Techniques

  • Examples of Classification

  • Classification Process – Model Construction

  • Data Preparation Issues

  • Basic Algorithm for a Decision Tree

  • Decision Trees in Data Mining

  • Naive Bayes Classifier

  • Clustering Models

  • Use Cases of Clustering

  • DBSCAN Clustering Algorithm

  • Distance Methodologies

  • Hierarchical and Non-Hierarchical Procedure

  • K-Means clustering

  • Central Branch

    Near Tanjong Pagar MRT, Central

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