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.
q364c8|
Find a path to becoming a SAS. Learn more at:
OpenCourser.com/topic/q364c8/sa
Reading list
We've selected 30 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 designed to help readers prepare for the SAS certification exam. It covers all of the topics that are covered on the exam.
Covers SAS Viya, which is the latest version of SAS.
Classic and widely recommended starting point for anyone new to SAS programming. It provides a user-friendly introduction to the most commonly used features of the SAS language through clear explanations and practical examples. It's an excellent resource for gaining a broad understanding and is often used as a supplementary text in introductory courses.
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.
Covers SAS business intelligence, which set of tools and techniques for analyzing data and making decisions.
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.
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.
Covers advanced topics in SAS programming, such as data mining, statistical modeling, and business intelligence.
This is an official preparation guide for the SAS Base Programming certification exam. It comprehensively covers the objectives tested on the exam and is suitable for both new and experienced users looking to solidify their foundational knowledge and earn a certification. It includes practice questions and a workbook with sample scenarios.
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.
Focuses on practical data management techniques using SAS. It's a valuable reference for anyone dealing with real-world data challenges, covering topics like data cleaning, transformation, and validation. It's particularly useful for professionals working with large and complex datasets.
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.
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.
Covers SAS statistical analysis, including topics such as regression, ANOVA, and logistic regression.
Covers SAS for big data, which set of tools and techniques for working with large datasets.
Covers SAS visual analytics, which set of tools and techniques for visualizing data and making decisions.
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/q364c8/sa
Save
