Data analytics : handbook of formulas and techniques /
Badiru, Adedeji Bodunde, 1952-
Data analytics : handbook of formulas and techniques / Adedeji Badiru. - 1 online resource : illustrations (black and white). - Systems innovation .
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.
9781000297355 1000297357 1000297330 9781000297348 1000297349 9781003083146 1003083145 9781000297331
10.1201/9781003083146 doi
Quantitative research.
Information visualization.
Engineering mathematics.
Business mathematics.
COMPUTERS / Database Management / Data Mining
TECHNOLOGY / Operations Research
MATHEMATICS / Mathematical Analysis
QA76.9.Q36
001.42
Data analytics : handbook of formulas and techniques / Adedeji Badiru. - 1 online resource : illustrations (black and white). - Systems innovation .
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.
9781000297355 1000297357 1000297330 9781000297348 1000297349 9781003083146 1003083145 9781000297331
10.1201/9781003083146 doi
Quantitative research.
Information visualization.
Engineering mathematics.
Business mathematics.
COMPUTERS / Database Management / Data Mining
TECHNOLOGY / Operations Research
MATHEMATICS / Mathematical Analysis
QA76.9.Q36
001.42