This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses. If you do not plan to write SAS programs and you prefer a point-and-click interface, you should attend the SAS(R) Enterprise Guide(R) 1: Querying and Reporting course.
Learn How To
Use SAS Studio and SAS Enterprise Guide to write and submit SAS programs.
Access SAS, Microsoft Excel, and text data.
Explore and validate data.
Prepare data by subsetting rows and computing new columns.
Analyze and report on data.
Export data and results to Excel, PDF, and other formats.
Use SQL in SAS to query and join tables.
Who Should Attend
Anyone starting to write SAS programs
Prerequisites
Before attending this course, you should have experience using computer software. Specifically, you should:;
Understand file structures and system commands on your operating systems.
Be able to access data files on your operating systems.;No prior SAS experience is needed.
SAS Products Covered
Base SAS
Course Outline
Essentials
The SAS programming process.
Using SAS programming tools.
Understanding SAS syntax.
Accessing Data
Understanding SAS data.
Accessing data through libraries.
Importing data into SAS.
Exploring and Validating Data
Exploring data.
Filtering rows.
Formatting columns.
Sorting data and removing duplicates.
Preparing Data
Reading and filtering data.
Computing new columns.
Conditional processing.
Analyzing and Reporting on Data
Enhancing reports with titles, footnotes, and labels.
Note: If you are taking the e-Learning version of this course, follow the instructions in the Course Overview to either access data in the Hands-On lab or set up data in another SAS environment.
The hands-on lab is preconfigured to support this course and will not support hands-on practice for all your enrolled courses.
Live Instructor Dates 
