Primary Navigation (13/9) -- Data Analytics and Decision Making

Primary Navigation Want to create or adapt books like this? Learn more about how Pressbooks supports open publishing practices. Book Contents Navigation 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 Exercises Lab 10 – Part 4 of 4 Load the following file to practice revenue management Revenue (Airline).xlsx Previous/next navigation 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.