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 a collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertips of readers.
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 a collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertips of readers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Adedeji B. 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.
Inhaltsangabe
Chapter 1. Essential Data Analytics. Chapter 2. Empirical Model Building. Chapter 3. Data Visualization Methods. Chapter 4. Basic Mathematical Calculations for Data Analytics. Chapter 5. Statistical Methods for Data Analytics. Chapter 6. Descriptive Statistics for Data Presentation. Chapter 7. Data Analytics Tools for Understanding Random Field Regression Models. Chapter 8. Application of DEJI Systems Model to Data Integration.
Chapter 1. Essential Data Analytics. Chapter 2. Empirical Model Building. Chapter 3. Data Visualization Methods. Chapter 4. Basic Mathematical Calculations for Data Analytics. Chapter 5. Statistical Methods for Data Analytics. Chapter 6. Descriptive Statistics for Data Presentation. Chapter 7. Data Analytics Tools for Understanding Random Field Regression Models. Chapter 8. Application of DEJI Systems Model to Data Integration.
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