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Predictive Analytics with SAS and R
Core Concepts, Tools and Implementation
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126 b
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Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background.
The book starts with an introduction to Analytics where you will learn analytics in decision-making, protective analytics basics, and its implementation in various industries. Next, you will go through types of regression and simple linear regression in detail followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. Moving forward, you will demonstrate Multivariate Analysis and learn how to work with Principal Components Analysis, Factor Analysis, and much more. Towards the end, you will learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models.
After reading the book, you will be able to put predictive analytics principles into practice.
What You Will Learn:
- Understanding modeling, estimating, and evaluating models for forecasting.
- Implementing Partial F-Test and Variable Selection Method
- How to demonstrate each analysis model in R Studio and SAS
- Understanding SLR and MLR Analysis models
Who This Book Is For:
Students and professionals in the field of data analysis and intelligence applications
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