Predictive Analytics with SAS and R

CyberSecurity Summary

A comprehensive academic text authored by Dr. Ramchandra Sharad Mangrulkar and Dr. Pallavi Vijay Chavan, with a technical review by Dr. Parikshit. The book serves as a guide for students and professionals seeking to enhance their understanding of predictive analytics. It explores core concepts, tools, and implementations across several key areas, including simple and multiple linear regression, multivariate analysis, and time series analysis. The text also covers practical applications of analytics in various industries such as finance, manufacturing, and healthcare, and discusses data sources, collection methods, model evaluation, and common software tools like Tableau, Amazon QuickSight, and SAS Viya. The authors aim to equip readers with the knowledge needed to apply predictive analytics for informed decision-making and career advancement in data analytics.
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