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Introduction
Acknowledgements
Accessibility Statement
Adopting or Adapting the Book
1.1 Introduction to Data Analytics and Decision Making
1.3 Careers in Data Analytics
1.4 Data Types, Formats and Repositories
1.5 Data Technologies: Big Data and Cloud Computing
1.6 Stages of Data Analytics
1.7 Predictive Analytics: Statistical Learning & Machine Learning
1.8 Prescriptive Analytics
2.1 Descriptive Analytics
2.2 Data Visualization
Assignment 1
2.3 Data Summarization
3.1 Predictive Analytics
3.2 Regression
3.3 Multiple Linear Regression
3.4 Non-Linear Relationships/Polynomial Regression
3.5 Logistic Regression
Assignment 2
3.6 K-Nearest Neighbours
3.7 Cross Validation
3.8 Resampling
3.9 Feature Selection
4.1 Prescriptive Analytics
4.2 Minimum Cost Network Flow Problem (MCNFP)
4.3 Routing
4.4 Simulation
4.5 Investment Management
4.6 Stochastic Decision Tree Analysis
Assignment 3
4.7 Revenue Management
Assignment 4
Lab 5
Load the following file to practice multiple linear regression.
Logistic_Regression_Template.xlsx
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Data Analytics and Decision Making Copyright © 2022 by Ali AbdulHussein is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.