Top 5 Books on Business Analytics with

R

This is the first book endorsed for the candidates who are curious to assimilate Analytics. This books covers almost all the Analytical techniques that are extensively used by the Data Scientists and Business Analysts.

It begins with explaining data mining in trending business scenario and then encapsulate some of the best practices in data mining.

The book makes you familiar with some useful statistical concept like p-value, chi-square which helps in building models.

It then explains the analytic algorithms like Market basket analysis, clustering, link analysis, decision trees, clustering and survival analysis. The book ends up using all the techniques on various industrial examples.

Data Mining Techniques by Michael Berry and Gordon Linoff

This book imparts the substantial initiation to numerous of the most essential packages and functions for importing, manipulating and processing data in R.

It uses diversified examples based on data sets incorporated with R, along with easily simulated data sets, the book is recommended to anyone who wants to learn R.

Data Manipulation in R by Phil Spector

This is a appreciable guide for statistics used in the field of analytics. Initiating from simple central tendency measures to probability distributions to decision theory.

It encrust the essentials of business statistics.

This book is used as course book in most management institutes in India.

This book is recommended for anyone interested in clearing up their concept of Statistics.

Statistics for Management by Richard Levin and David Rubin

A book on the use of analytics in the sports industry. The book studies Oakland Athletics a US baseball team with a payroll budget of less than a 3rd of some of their rivals.

Despite being small they have uniformly been one of the best teams.

The author manifests how they anchoraged analytics to get their benefits.

OA analyzed metrics that were different from the ones conventionally looked at, but which they thought were more admissible to winning.

This book explains a good example of analytics being used innovatively.

Moneyball by Michael Lewis

The book relates how some of the supreme companies in the world are using analytics to their competition.

The book is full of case studies of successful application of analytics from fields as assorted as retail to pharmaceuticals to sports to telecom.

This book is a valuable resource for anyone interested in understanding how companies like Amazon, Netflix and Capital One have developed analytics as their key differentiator.

Competing on Analytics by Thomas Davenport