By the end of this course, learners will be able to construct efficient PROC SQL queries, apply SQL functions and aggregations, combine data using joins and set operators, automate queries with macro variables, and manage data and metadata within the SAS environment. Learners will also gain the ability to create, update, and maintain structured datasets while adhering to best practices in SQL-based data management.
Apply PROC SQL Fundamentals for Data Analysis in SAS
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Construct efficient PROC SQL queries using functions, aggregations, joins, and set operators in SAS.
Automate and parameterize SQL queries using macro variables for scalable data analysis workflows.
Manage, update, and maintain structured datasets and metadata following SQL best practices in SAS.
Details to know
Shareable certificate
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Recently updated!
February 2026
Assessments
24 assignments
Taught in English
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There are 6 modules in this course
This module introduces the fundamentals of PROC SQL in SAS, focusing on core concepts, basic syntax, and essential SELECT operations. Learners gain a strong foundation in how SQL operates within the SAS environment, enabling them to retrieve, organize, and summarize data efficiently.
What's included
8 videos4 assignments
This module explores SQL functions and aggregation techniques in PROC SQL, emphasizing data summarization, ordering, and clause usage. Learners develop the ability to manipulate data values and control query output using built-in functions and sorting logic.
What's included
8 videos4 assignments
This module focuses on transforming query results into reusable datasets and applying advanced filtering logic. Learners practice creating new columns, eliminating duplicates, and structuring complex queries using inline views and conditional logic.
What's included
8 videos4 assignments
This module examines relational data concepts in PROC SQL, including keys, joins, subqueries, and set operators. Learners develop skills to combine datasets accurately and analyze relationships across multiple data sources.
What's included
8 videos4 assignments
This module introduces automation techniques by integrating PROC SQL with SAS macro variables. Learners gain experience generating dynamic SQL code and using macro-driven logic to enhance query flexibility and reusability.
What's included
8 videos4 assignments
This module focuses on managing data persistence and metadata using PROC SQL. Learners explore table creation, updates, structural modifications, and metadata-bound libraries to maintain data integrity and governance.
What's included
6 videos4 assignments
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