- eBook:Data Analytics: Handbook of Formulas and Techniques
- Author:Adedeji B. Badiru
- Edition:1 edition
- Data:December 23, 2020
- Pages:272 pages
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.
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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