1st Edition

Data Analytics
Handbook of Formulas and Techniques



  • Available for pre-order. Item will ship after December 23, 2020
ISBN 9780367537418
December 23, 2020 Forthcoming by CRC Press
296 Pages 33 B/W Illustrations

USD $190.00

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Book Description

Good data analytics is the basis for effective decisions. Whoever has the data has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers.

This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas.

This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as Industrial Engineering, Production Engineering, Project Management, Civil Engineering, Mechanical Engineering, Technology Management, and Business Management worldwide.

Table of Contents

1. Importance of Data in Everyday Decisions. 2. Data Measurement Scales. 3. Introduction to Data Analytics. 4. Mathematical Basis for Data. 5. Formula Categories: Formulas for Descriptive Statistics. Formulas for Estimation and Testing. Formulas for Distribution Functions. Formulas for Analysis of Variance. Formulas for Regression Analysis. Formulas for Quality Control Formulas for Time Series Analysis. Formulas for Categorical Data Analysis. Other Mathematical Formulas.

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Author(s)

Biography

Adedeji Badiru is a professor of systems engineering at the Graduate School of Engineering and Management at the Air Force Institute of Technology. He was previously Professor and Department Head of Industrial Engineering at the University of Tennessee, and Professor of Industrial Engineering at the University of Oklahoma. He is a registered professional engineer (PE), a certified Project Management Professional (PMP), and a Fellow of the Institute of Industrial & Systems Engineers. He is the author of over 30 books, 34 book chapters, and 80 technical journal articles. He is a member of several professional associations and scholastic honor societies.