Welcome to 'Base Programming Using SAS 9.4,' a foundational course designed to equip you with the essential skills to effectively manage, manipulate, and analyze data using the industry-standard SAS software. This comprehensive program delves into the core principles of SAS programming, focusing specifically on version 9.4. You will learn how to harness the power of SAS to transform raw data into actionable insights, a critical skill for careers in data science, analytics, research, healthcare, finance, and many other data-intensive fields.Throughout this course, you will gain hands-on experience with the SAS DATA step for reading, creating, and modifying datasets, as well as the SAS PROC step for performing various analytical and reporting tasks. We will cover crucial topics such as data input from diverse sources, data cleaning and validation, subsetting and merging datasets, creating new variables, and generating summary statistics and reports. The curriculum emphasizes practical application through numerous examples and exercises, ensuring you develop a robust understanding of how to write efficient and effective SAS programs.By the end of this course, you will be proficient in fundamental SAS programming techniques, enabling you to confidently prepare data for advanced statistical analysis, automate data processing tasks, and produce professional-quality reports. This course serves as an excellent starting point for anyone looking to build a strong foundation in SAS programming, whether you are aiming for SAS certification, advancing your career, or simply seeking to enhance your data analysis capabilities.
Course Curriculum
0 Sections
42 Hours
No curriculum content has been added to this course yet.
Read various types of raw data into SAS datasets using the DATA step. Perform essential data manipulation techniques, including subsetting, merging, concatenating, and creating new variables. Utilize fundamental SAS procedures (PROC PRINT, PROC SORT, PROC FREQ, PROC MEANS] to analyze and summarize data. Generate clear and concise reports, tables, and listings from SAS datasets. Understand the SAS programming environment, including libraries, data types, and basic debugging techniques. Prepare and validate data for further statistical analysis and reporting.
Basic computer literacy and familiarity with navigating file systems. A fundamental understanding of data concepts, such as tables, variables, and observations. Access to SAS 9.4 software (e.g., SAS OnDemand for Academics, SAS University Edition, or a licensed installation]. No prior programming experience is required, but a logical thinking approach is beneficial.