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Introduction to R for Business Intelligence
book

Introduction to R for Business Intelligence

by Jay Gendron
August 2016
Intermediate to advanced
228 pages
4h 44m
English
Packt Publishing

Overview

Master the essentials of using R for Business Intelligence in this practical guide. Through real-world use cases, learn to manipulate data, build predictive models, and create interactive dashboards to communicate insights effectively.

What this Book will help me do

  • Extract, clean, and analyze complex datasets for business applications.
  • Perform advanced statistical and machine learning techniques like predictive modeling and clustering.
  • Gain proficiency in creating interactive dashboards using R and the Shiny package.
  • Develop real-world analytics skills that enhance decision-making processes.
  • Integrate Business Intelligence workflows using R for operations, marketing, and finance domains.

Author(s)

None Gendron is an expert in data science and business analytics, passionate about teaching professionals to make data-driven decisions. With extensive experience in R programming, None has a knack for breaking down complex topics into easily digestible knowledge. Their practical approach ensures readers not only understand but can directly apply the concepts.

Who is it for?

This book is ideal for data analysts, business professionals, and entry-level data scientists looking to enhance their analytical skills. If you're familiar with basic R programming and aspire to derive actionable insights from data in the business context, this is the resource for you. It will also resonate with those in operations, marketing, or finance seeking to integrate data analysis into their decision-making.

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Publisher Resources

ISBN: 9781785280252