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Ultimate Statistical Analysis System (SAS) for Data Analytics - Enhance Your Data Analytics Skills Optimize Workflows and Drive Informed Decision-Making Across the Data Landscape with SAS - cover

Ultimate Statistical Analysis System (SAS) for Data Analytics - Enhance Your Data Analytics Skills Optimize Workflows and Drive Informed Decision-Making Across the Data Landscape with SAS

Vishesh Dhingra

Publisher: Orange Education Pvt. Ltd

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Summary

Elevate Your Data Analytics Skills, Optimize Workflows, and Drive Informed Decision-Making Across the Spectrum of Data Professions!

Book Description
The "Ultimate Statistical Analysis System (SAS) for Data Analytics" is your go-to resource for mastering SAS, a powerful software suite for statistical analysis. This comprehensive book covers everything from the basics of SAS for data professionals to advanced topics like clustering analysis and association rules. With practical examples and clear explanations, this book equips readers with the knowledge and skills needed to excel in their roles as data scientists, analysts, researchers, and more. 
Whether you're a beginner looking to build a solid foundation in SAS or an experienced user seeking to expand your proficiency, this handbook has something for everyone. You'll learn essential techniques for importing, cleaning, and visualizing data, as well as conducting hypothesis testing, regression analysis, and inferential statistics. Advanced topics like SAS programming concepts and generating reports are also covered in detail, providing readers with the tools to tackle complex data challenges with confidence. 
Table of Contents

1. Introduction to SAS for Data Professionals
2. Data Import and Export in SAS
3. Data Cleaning and Transformation
4. Data Visualizations with SAS
5. Hypothesis Testing and Regression Analysis
6. Descriptive and Inferential Statistics
7. Advanced SAS Programming Concepts
8. Clustering Analysis with PROC CLUSTER
9. Association Rules in SAS
10. Generating Reports in SAS   
Index
Available since: 07/24/2024.

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