Business Analytics Using R - A Practical Approach

Business Analytics Using R - A Practical Approach

English | EPUB | 2017 | 280 Pages | ISBN : 1484225139 | 5.88 MB

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics.
This book will discuss and explore the following through examples and case studies:
An introduction to R: data management and R functions
The architecture, framework, and life cycle of a business analytics project
Descriptive analytics using R: descriptive statistics and data cleaning
Data mining: classification, association rules, and clustering
Predictive analytics: simple regression, multiple regression, and logistic regression
This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book.

Download:

http://longfiles.com/g5y38teq6msy/Business_Analytics_Using_R_-_A_Practical_Approach.epub.html

[Fast Download] Business Analytics Using R - A Practical Approach


Ebooks related to "Business Analytics Using R - A Practical Approach" :
Troubleshooting Citrix XenDesktop
Troubleshooting Citrix XenDesktop
Tableau 10 Business Intelligence Cookbook
SAP Data Services 4.x Cookbook
Apache Spark for Data Science Cookbook
MySQL in a Nutshell
Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice
Microsoft SQL Server 2005 Programming For Dummies
Microsoft SQL Server 2008 Management and Administration by Ross Mistry
Machine Learning and Knowledge Discovery in Databases
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.