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Learn to program in the SAS Language, also known as SAS Base or Base SAS. SAS Programming is awesome for Data Science!
Updated on Sep, 2026
Programming, Programming Languages,
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This is a beginner's course, and the course is designed for beginners interested in generating foundational knowledge and building relevant skills in SAS programming. The course has been divided to provide an excellent foundational approach in learning SAS, which entails an array of applications. We will start with the understanding of the concept of SAS as a powerful software suite that involves the management of data, statistical analysis, and reporting. From there, you'll see that SAS libraries play a very important role when it comes to storing and organizing data. You will learn the different ways to access and manipulate data in SAS using various techniques on how datasets can be transformed and analyzed accordingly. Now that we've gotten some basics under way, let's move further into the basics of SAS programming and concentrate a bit more on data formatting; you'll learn how to format and present data clearly with SAS and visually. Master the art of Merging and Appending data from multiple sources. Techniques will be learned to merge datasets so you may build rich datasets to really analyze. Through this course, you will gain hands-on experience using SAS OnDemand for Academics-a cloud-based platform granting SAS tools access without having to install locally, allowing for easy learning and convenience. You will leave this course with solid SAS programming skills in accessing, manipulating, formatting, and combining data—all necessary steps toward data analysis, reporting, and making decisions in any field. We are excited to start this journey of SAS programming with you. We hope you will find it interesting but rewarding. Welcome to SAS programming!
Objectives of the course are as follows: Develop Core Knowledge about SAS Programming Equip students with the basic concepts and skills to understand and use SAS effectively in data management and analysis. Develop Data Manipulation Techniques Teach learners how to access, transform and manipulate datasets using SAS, improving the ability to work with different sources of data. Master Data Formatting and Presentation: Teaching a learner to present data in an easily readable, aesthetic form, so it is report-ready and decision-ready. Merger of Multiple Sources of Data: Training the learner on merging and appending datasets and preparing comprehensive datasets that can be analyzed through the use of important data integration techniques. Hands-on Experience using SAS OnDemand: Practical experience using SAS OnDemand for Academics, a cloud-based platform ensures the students can apply SAS skills to real-world problems without needing a local installation. The student will gain hands-on experience using SAS OnDemand for Academics and have the opportunity to apply SAS skills to real-world problems at the end of the course without having a local installation.
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