Hodeghatta, Umesh R <br/><br/>
Business analytics using R - a practical approach 

 - Bangalore  Apress   2022 
 - xvii, 279 p. 
<br/><br/>Overview of Business Analytics<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 1-15<br/>Introduction to R<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 17-36<br/>R for Data Analysis<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 37-58<br/>Introduction to descriptive analytics<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 59-89<br/>Business Analytics Process and Data Exploration<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 91-130<br/>Supervised Machine Learning—Classification<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 131-160<br/>Unsupervised Machine Learning<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 161-186<br/>Simple Linear Regression<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 187-205<br/>Multiple Linear Regression<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 207-231<br/>Logistic Regression<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 233-255<br/>Big Data Analysis—Introduction and Future Trends 
<br/><br/> The book covers both descriptive analytics and predictive analytics. It also discusses business value and how analytics is linked to statistics, machine learning, and artificial intelligence. Most of the books in the market cover only statistics or regression whereas we cover complete analytics and its life cycle<br/><br/>This book explains the concepts backed by examples and case studies which are easy to understand and follow<br/><br/>This book offers the appropriate mix of theory and practice with relevant and useful examples 
<br/><br/><label>ISBN: </label>9781484256770 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Management information systems<br/>Business--Data processing<br/>R (Computer program language)<br/>Data mining<br/>Programming languages (Electronic computers)
<br/><br/><label>Dewey Class. No.: </label>650.0285  / HOD