May 1, 2024
Updated May 9, 2025
17 minute read
SAS, which stands for Statistical Analysis System, is a powerful software suite used for advanced analytics, business intelligence, data management, and predictive analytics. It allows users to mine, alter, manage, and retrieve data from various sources and then perform statistical analysis on that data. Think of it as a sophisticated toolkit that helps organizations make sense of vast amounts of information, enabling them to make informed, data-driven decisions. This capability is crucial in today's world, where data is generated at an unprecedented rate.
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Reading list
We've selected 19 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
SAS.
Is highly regarded for its example-driven approach, making it ideal for beginners and those who prefer hands-on learning. It progresses from basic concepts to more advanced topics, helping to solidify understanding through numerous code examples. It's a popular choice for self-study and as a companion to introductory SAS courses.
Aimed specifically at beginners, this book guides users through the SAS Studio environment, particularly relevant for those using SAS OnDemand for Academics. It covers basic tasks and introduces writing SAS programs with easy-to-follow, step-by-step instructions. This great resource for those just starting out with SAS and the cloud-based interface.
Focuses on contemporary topics in SAS, specifically machine learning using the SAS Viya platform. It covers various machine learning techniques and their implementation in the modern SAS environment. This is highly relevant for those interested in current data science applications with SAS.
This is the official guide for the advanced SAS programming certification. It is designed for experienced SAS users who want to validate their skills and deepen their understanding of advanced techniques. It includes a workbook with sample scenarios to practice coding solutions.
Provides clear explanations and examples for performing various statistical analyses using SAS procedures. It's a valuable resource for understanding how to apply statistical methods within the SAS environment and interpreting the output. Suitable for those with some statistical background.
Provides a practical approach to data analysis using SAS, focusing on real-world scenarios and techniques. It's a good resource for applying SAS skills to solve practical data problems and gaining hands-on experience.
For users looking to move beyond the basics, this book delves into more advanced SAS programming techniques. It's helpful for optimizing code, working with complex data structures, and utilizing advanced procedures. good next step after mastering the fundamentals.
A practical guide to using SAS functions with numerous examples. is an excellent reference for anyone working with data manipulation and transformation in SAS. It helps users understand and effectively utilize the wide array of SAS functions available.
Comprehensive guide to analyzing categorical data using SAS procedures like PROC FREQ, PROC LOGISTIC, and PROC GENMOD. It's suitable for researchers and statisticians who work with this type of data and need to deepen their understanding of the relevant SAS techniques.
Focuses on the specialized area of analyzing complex survey data using SAS. It's highly relevant for researchers and statisticians working with data from surveys involving stratification, clustering, and unequal weights. It provides detailed guidance on using the appropriate SAS procedures.
A detailed exploration of logistic regression theory and its application using SAS. is valuable for those performing this specific type of statistical modeling and provides a deeper understanding of both the statistical concepts and the SAS implementation.
Designed as a hands-on companion to introductory SAS learning, this workbook provides exercises and projects to reinforce concepts learned from other resources like 'The Little SAS Book' or 'Learning SAS by Example'. It's excellent for solidifying understanding through practice.
Introduces the use of SAS for analyzing mixed models, a common statistical technique in various research fields. It's suitable for graduate students and researchers who need to apply mixed models and provides a solid introduction to the relevant SAS procedures.
Focusing on creating effective data visualizations using SAS, this book is relevant for anyone needing to present their data analysis results clearly and compellingly. It covers various SAS graphical procedures and design principles.
Specifically designed for users familiar with R, this book helps them transition to or understand SAS programming by drawing parallels between the two languages. It's valuable for those with an R background looking to learn or work with SAS.
Is valuable for users who work with both SAS and R, demonstrating how to perform data management, statistical analysis, and graphics in both languages. It highlights the similarities and differences, helping users leverage the strengths of each tool. Useful for professionals in diverse analytical environments.
Part of the popular 'For Dummies' series, this book provides a very basic and accessible introduction to SAS. It's suitable for absolute beginners with no prior programming experience and offers a gentle entry into the world of SAS.
This handbook serves as a quick reference for common SAS data steps and procedures. It's a useful tool for both beginners and experienced users who need to quickly look up syntax and options for various SAS tasks.
While not exclusively a SAS book, this classic text provides a strong foundation in statistical thinking and data analysis, which is essential for effectively using SAS for reporting and decision-making. It helps in understanding the 'why' behind the statistical procedures performed in SAS.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/q364c8/sa
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