Applied Analytics through Case Studies Using SAS and R

0
1664
Applied Analytics through Case Studies Using SAS and R
Applied Analytics through Case Studies Using SAS and R

Applied Analytics through Case Studies Using SAS and R Book Description:

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 a 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.


You can also get this PDF by using our Android Mobile App directly:

LEAVE A REPLY

Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.