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A User's Guide to Business Analytics (Hardcover)
Loot Price: R3,979
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A User's Guide to Business Analytics (Hardcover)
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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. Chapter
eight deals with statistical inference and discusses the most
common testing procedures. Chapters nine through twelve deal
entirely with predictive analytics. The chapter on regression is
quite extensive, dealing with model development and model
complexity from a user's perspective. A short chapter on tree-based
methods puts forth the main application areas succinctly. The
chapter on data mining is a good introduction to the most common
machine learning algorithms. The last chapter highlights the role
of different time series models in analytics. In all the chapters,
the authors showcase a number of examples and case studies and
provide guidelines to users in the analytics field.
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