Harnessing the Power of Analytics [Paperback]

This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and data management platform. The authors use SAS VIYA to focus on analytics to solve problems, highlight how analytics is applied in the airline and business environment, and compare several different modeling techniques.  They decipher complex algorithms to demonstrate how they can be applied and explained within improving decisions.

Chapter 1. Introduction to Analytics and Data Science.- Chapter 2. Data Types Structure & Data Preparation Process.- Chapter 3. Data Exploration and Data Visualization. Chapter 4. Evaluating Predictive Performance.- Chapter 5. Decision Trees & Ensemble.- Chapter 6. Regression Models.- Chapter 7. Neural Networks.- Chapter 8. Model Deployment.

Dr. Leila Halawi is a tenured associate professor in the Graduate studies department of the College of Aeronautics, Worldwide Campus. She is the program chair for the Master of Aviation sustainability and associate program chair for the master of I.T. Entrepreneurship. Previously, Dr. Halawi served as the MIS Discipline Chair, Chair of the Research Committee for the Senate, and the Director of Research for the College of Business. She developed many of the courses within the MMIS program. She holds a Certification from Sloan C Consortium in Online Teaching and a certificate from Quality Matters on Applying the Q.M. Rubrics (APPQMR). She is an advisory board member and a reviewer for the Enterprise Architecture Body of Knowledge (EABOK), Mitre Corporation. She is a Reviewer for the Journal of lS,