This Course is designed for students at the Beginner level.
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The “SAS® Programming 1: Essentials” course is the perfect starting point for anyone looking to learn how to write SAS programs for data analysis. Designed for beginners, this 21-hour course focuses on the basics of SAS programming, providing the foundational skills needed to access, explore, prepare, and analyze data. Whether you’re entering the field of data science, machine learning, or artificial intelligence, this course offers essential knowledge that will pave the way for more advanced SAS courses.
Throughout the course, learners will become proficient in using SAS Studio and SAS Enterprise Guide to write and submit SAS programs. The course begins with an introduction to the SAS programming process, ensuring that participants understand the key elements of SAS syntax and how to use the various programming tools effectively. Students will also gain hands-on experience accessing data from multiple sources, including SAS libraries, Microsoft Excel files, and text data.
Exploring and validating data is a key component of this course. Learners will acquire skills in filtering rows, formatting columns, and sorting data to uncover meaningful insights. The course also covers data preparation techniques, such as computing new columns and performing conditional processing, which are essential for effective data manipulation.
Once data is prepared, students will learn how to analyze and generate reports, creating frequency and summary statistics reports, while enhancing their outputs with titles, footnotes, and labels. The course also introduces the use of SQL within SAS to query and join tables, which is crucial for anyone looking to perform more complex data analysis.
By the end of this course, learners will be able to write SAS programs to access and analyze data, making them well-prepared for more advanced SAS programming courses. This course is perfect for anyone starting their journey with SAS programming, whether you’re in data science, analytics, or any field that requires data manipulation and reporting.
