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SAS for dummies
Thousands of businesses use hundreds of SAS products to manage and deliver their data more effectively and create reports that mean something. Are you ready to join them?
Book
Ultimate Statistical Analysis System (SAS) for Data Analytics
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.
eBook
SAS Essentials: Mastering SAS for Data Analytics, 2nd Edition
A step-by-step introduction to using SAS statistical software as a foundational approach to data analysis and interpretationPresenting a straightforward introduction from the ground up, SAS Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples. Keeping different experience levels in mind, the highly-qualified author team has developed the book over 20 years of teaching introductory SAS courses.Divided into two sections, the first part of the book provides an introduction to data manipulation, statistical techniques, and the SAS programming language. The second section is designed to introduce users to statistical analysis using SAS Procedures. Featuring self-contained chapters to enhance the learning process, the Second Edition also includes:Programming approaches for the most up-to-date version of the SAS platform including information on how to use the SAS University EditionDiscussions to illustrate the concepts and highlight key fundamental computational skills that are utilized by business, government, and organizations alikeNew chapters on reporting results in tables and factor analysisAdditional information on the DATA step for data management with an emphasis on importing data from other sources, combining data sets, and data cleaningUpdated ANOVA and regression examples as well as other data analysis techniquesA companion website with the discussed data sets, additional code, and related PowerPoint slidesSAS Essentials: Mastering SAS for Data Analytics, Second Edition is an ideal textbook for upper-undergraduate and graduate-level courses in statistics, data analytics, applied SAS programming, and statistical computer applications as well as an excellent supplement for statistical methodology courses. The book is an appropriate reference for researchers and academicians who require a basic introduction to SAS for statistical analysis and for preparation for the Basic SAS Certification Exam.
eBook
Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques
Here readers can examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data.
Book
Credit Risk Analytics
The long-awaited, comprehensive guide to practical credit risk modeling
Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics.
SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models.
* Understand the general concepts of credit risk management
* Validate and stress-test existing models
* Access working examples based on both real and simulated data
* Learn useful code for implementing and validating models in SAS
Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.
eBook
SAS for Finance
SAS is the ground-breaking tool for advanced, predictive, and statistical analytics. Right from refining your data using power of SAS analytics, you will be able to exploit the capabilities of high-powered package to create accurate financial models. You can easily assess the pros and cons of models to suit unique business needs.
eBook
Design and Analysis of Experiments with SAS
This textbook covers both classical ideas in experimental design and the latest research topics. It clearly discusses the objectives of a research project that lead to an appropriate design choice, the practical aspects of creating a design and performing experiments, and the interpretation of computer data analysis results. Using SAS 9.2 to illustrate the construction of experimental designs and analysis of data, the author presents many applications from the pharmaceutical, agricultural, industrial chemicals, and machinery industries. SAS code and ancillaries are available on the author's website.
eBook