Basu, Ayanendranath.
A user's guide to business analytics / Ayanendranath Basu, Srabashi Basu. - Boca Raton, FL : CRC Press, ©2016. - xvi, 384 pages : illustrations ; 25 cm
What is analytics? -- Intorducing R -- An analytics software -- Reporting data -- Statistical graphics and visual analytics -- Probability -- Random variables and probability distributions -- Continuous random variables -- Statistical inference -- Regression for predictive model building -- Decision trees -- Data mining and multivariate methods -- Modeling time series data for forecasting.
A User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst. Methods are developed from a fairly basic level to accommodate readers who have limited training in the theory of statistics. A substantial number of case studies and numerical illustrations using the R-software package are provided for the benefit of motivated beginners who want to get a head start in analytics as well as for experts on the job who will benefit by using this text as a reference book. The book is comprised of 12 chapters. The first chapter focuses on business analytics, along with its emergence and application, and sets up a context for the whole book. The next three chapters introduce R and provide a comprehensive discussion on descriptive analytics, including numerical data summarization and visual analytics. Chapters five through seven discuss set theory, definitions and counting rules, probability, random variables, and probability distributions, with a number of business scenario examples. These chapters lay down the foundation for predictive analytics and model building. --
9781466591653 146659165X
Decision making--Statistical methods.
Business planning--Statistical methods.
R (Computer program language)
Data mining.
HD38.7 / B37 2016
658.472
A user's guide to business analytics / Ayanendranath Basu, Srabashi Basu. - Boca Raton, FL : CRC Press, ©2016. - xvi, 384 pages : illustrations ; 25 cm
What is analytics? -- Intorducing R -- An analytics software -- Reporting data -- Statistical graphics and visual analytics -- Probability -- Random variables and probability distributions -- Continuous random variables -- Statistical inference -- Regression for predictive model building -- Decision trees -- Data mining and multivariate methods -- Modeling time series data for forecasting.
A User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst. Methods are developed from a fairly basic level to accommodate readers who have limited training in the theory of statistics. A substantial number of case studies and numerical illustrations using the R-software package are provided for the benefit of motivated beginners who want to get a head start in analytics as well as for experts on the job who will benefit by using this text as a reference book. The book is comprised of 12 chapters. The first chapter focuses on business analytics, along with its emergence and application, and sets up a context for the whole book. The next three chapters introduce R and provide a comprehensive discussion on descriptive analytics, including numerical data summarization and visual analytics. Chapters five through seven discuss set theory, definitions and counting rules, probability, random variables, and probability distributions, with a number of business scenario examples. These chapters lay down the foundation for predictive analytics and model building. --
9781466591653 146659165X
Decision making--Statistical methods.
Business planning--Statistical methods.
R (Computer program language)
Data mining.
HD38.7 / B37 2016
658.472