Business Analytics Using R - A Practical Approach

Business Analytics Using R - A Practical Approach

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...

Full description

Bibliographic Details
Main Authors: Hodeghatta, Umesh R. author (author), Nayak, Umesha. author
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2017.
Edition:1st ed. 2017.
Subjects:
Big data.
Computer programming.
Programming languages (Electronic computers).
Data mining.
Information storage and retrieval.
Mathematical statistics.
R (Computer program language).
Big Data.
Programming Techniques.
Programming Languages, Compilers, Interpreters.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Probability and Statistics in Computer Science.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630331606719
Table of Contents:
  • Overview of business analytics
  • Introduction to R
  • R for data analysis
  • Introduction to descriptive analytics
  • Business analytics process and data exploration
  • Supervised machine learning : classification
  • Unsupervised machine learning
  • Simple linear regression
  • Multiple linear regression
  • Logistic regression
  • Big data analysis : introduction and future trends.

Similar Items