Data Science With R Training

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 Vsrious 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

Introduction
Types of Graphics
Save Graphics to a File
Graphics in R
Create a word cloud
Exporting Graphs in EStudio

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

Introduction to Regression Analysis and Usage
Types of Regression Analysis
Interaction Regression Model
Correlation
Logit Function
Lift charts
Decile Analysis

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