Sign up to save your podcasts
Or
Share Predictive Analytics with SAS and R
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Predictive Analytics with SAS and R
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
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
View all episodes
By CyberSecurity Summary
2.2
55 ratings
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
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
More shows like CyberSecurity Summary
View all
Hacked
188 Listeners
SANS Internet Stormcenter Daily Cyber Security Podcast (Stormcast)
650 Listeners
CyberWire Daily
1,031 Listeners
Darknet Diaries
8,116 Listeners
Cybersecurity Today
176 Listeners
This Week in Linux
36 Listeners
Defense in Depth
74 Listeners
Cybersecurity Headlines
138 Listeners