SAS Programming Foundations for Data Analysis

Data is the backbone of modern decision-making, but raw data is rarely ready for analysis. SAS is a trusted global standard for data management, and learning how to program with it opens doors to powerful data science and analytics workflows. This text-based course guides you from absolute beginner to confidently writing your own SAS programs. You will learn how to read different data sources, clean and restructure datasets, and generate clear summary reports. What you'll learn: - Understand foundational SAS syntax, rules, and the structure of DATA and PROC steps. - Access and import data from various formats, including Excel spreadsheets, text files, and modern structured data. - Explore and validate datasets to identify missing values, duplicates, and data quality issues. - Prepare and transform data by filtering rows, selecting columns, and creating new variables. - Analyze data using basic statistical procedures and generate clear, readable reports. - Apply clean coding practices and debugging techniques to troubleshoot program errors. You will start with core terminology and syntax rules before moving step-by-step through importing, cleaning, and analyzing real-world data scenarios. This course is designed entirely for beginners, and no prior programming or data analysis experience is required. Start reading today to build a strong foundation in SAS programming and take control of your data.