Ultimate Statistical Analysis System (SAS) for Data Analytics

Key Features
? Solve practical problems using SAS with real-world case studies that provide hands-on experience.
? Clear, step-by-step tutorials that guide you through various SAS procedures, ensuring easy understanding and application.
? Explore an extensive range of SAS capabilities, from basic data management to advanced analytics and reporting techniques.

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.

With its accessible writing style and emphasis on real-world applications, this book is a practical guide that empowers readers to unlock the full potential of their data. Whether you’re analyzing customer behavior, optimizing business processes, or conducting academic research, this handbook will be your trusted companion on the journey to mastering SAS and making informed decisions based on data-driven insights.

What you will learn
? Master the skills to import, clean, and transform data using SAS’s powerful data manipulation tools.
? Gain the ability to conduct hypothesis testing to build regression models to analyze data relationships.
? Learn to design and produce compelling data visualizations that effectively communicate your data findings.
? Develop proficiency in advanced SAS programming techniques to tackle intricate analytical tasks.

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

About the Authors
Vishesh Dhingraholds an MBA in Marketing from Bharati Vidyapeeth and a Bachelor’s in Computer Science and Engineering from Guru Gobind Singh Indraprastha University. He completed the Executive Course on Advanced Analytics at IIM Calcutta, enhancing his expertise in the field. With a career spanning renowned organizations such as EXL Service, Genpact, and Wipro Limited, Vishesh has honed his skills in diverse domains including banking, healthcare, and insurance.

With over 7 years of experience in the technology landscape, Vishesh is a seasoned professional in SAS, adept at navigating its applications in multifaceted projects. Beyond SAS, he has demonstrated proficiency in a spectrum of technologies, from Snowflake to machine learning, Python, data science, deep learning, and image Processing.