Foundational SAS Programming for Data Analysis

In today's data-driven industries, the ability to clean, analyze, and report on large datasets is a critical skill. The SAS language remains a cornerstone of data management and statistical analysis across finance, healthcare, and enterprise business sectors. This text-based course guides you through the core concepts of SAS programming, from initial syntax rules to practical data manipulation. You will learn how to read data from various sources, structure your programs using DATA and PROC steps, and prepare datasets for analysis. By studying the written explanations and practicing with structured code examples, you will build the confidence to write clean, efficient SAS code and solve real-world data challenges. What you'll learn: - Understand foundational SAS syntax, rules, and the structure of DATA and PROC steps - Read and import data from external files, raw text, and structured databases - Manipulate variables, merge datasets, and conditionalize data processing logic - Apply built-in SAS functions to clean, format, and transform character and numeric data - Generate descriptive statistics, frequency tables, and structured reports using core procedures - Integrate modern SQL queries within your SAS environment using PROC SQL The course begins with essential terminology, basic programming structures, and environment setups. You will then progress through step-by-step written tutorials covering data transformation, reporting procedures, and modern SQL integration. This course is designed entirely for beginners with no prior programming experience. It is perfect for aspiring data analysts, researchers, and business professionals looking to build a strong foundation in SAS programming. Start reading today to master the essentials of SAS programming and elevate your data analysis skills.