Applied Analytics through Case Studies Using SAS and R

Deepti Gupta

ISBN 10: 148423524X / ISBN 13: 9781484235249

Published by Apress Aug 2018, 2018

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problemsis the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms.Applied Analytics through Case Studies Using SAS and R is your answer tosolving these business problems by sharpening your analytical skills.What You'll LearnUnderstand analytics and basic data conceptsUse an analytical approach to solve Industrial business problemsBuild predictive model with machine learning techniquesCreate and apply analytical strategiesWho This Book Is ForData scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling. 424 pp. Englisch.

Seller Inventory # 9781484235249

Bibliographic Details

• Title: Applied Analytics through Case Studies Using SAS and R
• Publisher: Apress Aug 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 148423524X
• ISBN 13: 9781484235249
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 23D millimeters 254 millimeters width by 178 millimeters height by 23 millimeters depth
• Weight: 793 grams

About this title

Synopsis

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.  

This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data.  The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. 

Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. 

What You'll Learn  

• Understand analytics and basic data concepts 
  
• Use an analytical approach to solve Industrial business problems 
  
• Build predictive model with machine learning techniques
  
• Create and apply analytical strategies
  

Who This Book Is For

Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.

About the Author

Deepti Gupta completed her MBA in Finance and PGPM in operation research in 2010. She has worked with KPMG and IBM private limited as Data Scientist and is currently working as a data science freelancer. Deepti has extensive experience in predictive modeling and machine learning with an expertise in SAS and R. Deepti has developed data science courses, delivered data science trainings, and conducted workshops for both corporate and academic institutions. She has written multiple blogs and white papers. Deepti has a passion for mentoring budding data scientists.