This is the repository for Ultimate Statistical Analysis System (SAS) for Data Analytics, published by Orange AVA™
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.
● 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.
● Discover the use of clustering analysis and association rules to identify meaningful patterns and relationships in your data.
● Generate professional reports to clearly present your analytical results.