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Predictive Analytics with SAS and R

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Manage episode 506661862 series 3683458
Content provided by CyberSecurity Summary. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CyberSecurity Summary or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
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1002 episodes

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Manage episode 506661862 series 3683458
Content provided by CyberSecurity Summary. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CyberSecurity Summary or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
  continue reading

1002 episodes

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