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Welcome
Syllabus
I : Data Fundamentals and Preparation
Foundations of Data
1
Basic Concepts of Data
2
Structured, Semi-structured and Unstructured Data
3
Data in Organizations
4
Big Data
Data for Decision Making and Preparation
5
Role of Data in Decision Making
6
Data Types by Levels of Measurement
7
Meaning and Rationale of Data Analysis
8
Data Preparation: Cleaning, Munging, Normalization and Transformation
II : Exploratory and Confirmatory Data Analysis
Types of Data Analysis
9
Descriptive Data Analysis
10
Exploratory Data Analysis
11
Confirmatory Data Analysis
Analysis Tools with R
12
Univariate Data Analysis with R
13
Bivariate Data Analysis with R
14
Multivariate Data Analysis Tools
III : Predictive Analytics and Modeling Techniques
Methods I: Regression Techniques
15
Multiple Regression
16
Logistic Regression
17
Mediation Analysis
18
Moderation Analysis
19
Implementation of Methods with R
Methods II: Multivariate Analysis
20
Factor Analysis
21
Cluster Analysis
22
Implementation of Advanced Methods with R
IV : Prescriptive Analytics and Optimization
Linear and Integer Optimization
23
Linear Programming
24
Integer Programming
Network Optimization and Simulation
25
Network Optimization
26
Simulation Modelling
References
References
26
Simulation Modelling