Course Description
Produced Exclusively for DASCA by John Wiley, USA
Course curriculum

1
Introduction to Business Analytics

Overview

Business Decisions and Analytics

Types of Business Analytics

Applications of Business Analytics

Data Science Overview

Conclusion


2
Introduction to R Programming

Overview

Importance of R

Data Types and Variables In R

Operators in R

Conditional Statements in R

Loops in R

R Script

Functions in R

Conclusion


3
Data Structures

Overview

Identifying Data Structures

Demo Identifying Data Structures

Assigning Value to Data Structures

Data Manipulation

Demo Assigning Values and Applying Functions

Conclusion


4
Data Visualization

Overview

Introduction to Data Visualization

Data Visualization Using Graphics in R

GGPlot 2

File Formats of Graphic Outputs

Conclusion


5
Statistics for Data Science 1

Overview

Introduction to Hypothesis

Types of Hypothesis

Data Sampling

Confidence and Significance Levels

Conclusion


6
Statistics for Data Science 2

Overview

Hypothesis Test

Parametric Test

NonParametric Test

Hypothesis test about Population

Hypothesis about Population Variance

Hypothesis about Population Proportions

Conclusion


7
Regression Analysis

Overview

Introduction to Regression Analysis

Types of Regression Analysis Models

Linear Regression

Demo Simple Linear Regression

NonLinear Regression

Demo Regression Analysis with Multiple Variables

Cross Validation

NonLinear to Linear models

Principal Component Analysis

Factor Analysis

Conclusion


8
Classification

Overview

Classification and its types

Logistic Regression

Support Vector Machines

KNearest Neighbours

Naive Bayes Classifier

Demo Naive Bayes Classifier

Decision Tree Classification

Demo Decision Tree Classification

Random Forest Classification

Evaluating Classifier Models

Demo KFold Cross Validation

Conclusion


9
Clustering

Overview

Introduction to Clustering

Clustering Methods

Demo KMeans Clustering

Demo Hierarchical Clustering

Conclusion


10
Association

Overview

Association Rule

Apriori Algorithm

Demo Apriori Algorithm

Conclusion
