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.
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