Introduction to R for Business Intelligence

Introduction to R for Business Intelligence
Introduction to R for Business Intelligence by Jay Gendron
English | 2016 | ISBN: 1785280252 | 228 Pages | EPUB, AZW3, PDF (conv) | 14 MB

Learn how to leverage the power of R for Business Intelligence
Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance.
In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards.
After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.
What you will learn

  • Extract, clean, and transform data
  • Validate the quality of the data and variables in datasets
  • Learn exploratory data analysis
  • Build regression models
  • Implement popular data-mining algorithms
  • Visualize results using popular graphs
  • Publish the results as a dashboard through Interactive Web Application frameworks