SAS SQL for Data Analysts

Categories: SAS

About Course

SAS SQL for Data Analysts is a practical course designed to help you master PROC SQL within the SAS environment. You’ll learn how to write SQL queries to retrieve, join, sort, and filter data efficiently—without relying on traditional DATA step coding.

Whether you’re coming from an SQL background or new to it, this workshop bridges the gap between raw data and actionable insights using industry-standard SQL techniques inside SAS. This course is ideal for analysts, researchers, and SAS programmers working with large datasets in domains like finance, healthcare, and marketing.

Course Content

Module 1: Introduction to SQL in SAS
What is PROC SQL? Differences between DATA step and PROC SQL Syntax structure and best practices

Module 2: Data Retrieval with SELECT
Selecting columns and rows Using DISTINCT, ORDER BY, and WHERE

Module 3: Filtering and Conditions
Logical operators (AND, OR, NOT) Range and pattern matching with BETWEEN, LIKE, and IN

Module 4: Joining Tables
Inner join, left join, right join, and full join Joining multiple datasets with ON conditions Handling missing values and join mismatches

Module 5: Aggregations and Grouping
Using GROUP BY, COUNT, AVG, SUM, MAX, MIN Filtering grouped data with HAVING

Module 6: Advanced SQL Techniques in SAS
Using subqueries in SELECT, WHERE, and FROM clauses Creating new columns with CASE statements Combining PROC SQL with macro variables

Module 7: Hands-on Project
Real-world case study: Joining multiple datasets and building a summary report Optimization tips and error handling

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SAS SQL for Data Analysts

About Course

What Will You Learn?

Course Content

Module 1: Introduction to SQL in SAS
What is PROC SQL? Differences between DATA step and PROC SQL Syntax structure and best practices

Module 2: Data Retrieval with SELECT
Selecting columns and rows Using DISTINCT, ORDER BY, and WHERE

Module 3: Filtering and Conditions
Logical operators (AND, OR, NOT) Range and pattern matching with BETWEEN, LIKE, and IN

Module 4: Joining Tables
Inner join, left join, right join, and full join Joining multiple datasets with ON conditions Handling missing values and join mismatches

Module 5: Aggregations and Grouping
Using GROUP BY, COUNT, AVG, SUM, MAX, MIN Filtering grouped data with HAVING

Module 6: Advanced SQL Techniques in SAS
Using subqueries in SELECT, WHERE, and FROM clauses Creating new columns with CASE statements Combining PROC SQL with macro variables

Module 7: Hands-on Project
Real-world case study: Joining multiple datasets and building a summary report Optimization tips and error handling

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About Course

What Will You Learn?

Course Content

Module 1: Introduction to SQL in SAS What is PROC SQL? Differences between DATA step and PROC SQL Syntax structure and best practices

Module 2: Data Retrieval with SELECT Selecting columns and rows Using DISTINCT, ORDER BY, and WHERE

Module 3: Filtering and Conditions Logical operators (AND, OR, NOT) Range and pattern matching with BETWEEN, LIKE, and IN

Module 4: Joining Tables Inner join, left join, right join, and full join Joining multiple datasets with ON conditions Handling missing values and join mismatches

Module 5: Aggregations and Grouping Using GROUP BY, COUNT, AVG, SUM, MAX, MIN Filtering grouped data with HAVING

Module 6: Advanced SQL Techniques in SAS Using subqueries in SELECT, WHERE, and FROM clauses Creating new columns with CASE statements Combining PROC SQL with macro variables

Module 7: Hands-on Project Real-world case study: Joining multiple datasets and building a summary report Optimization tips and error handling

Student Ratings & Reviews

Trending Courses

Trending College Workshops

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Categories

Module 1: Introduction to SQL in SAS
What is PROC SQL? Differences between DATA step and PROC SQL Syntax structure and best practices

Module 2: Data Retrieval with SELECT
Selecting columns and rows Using DISTINCT, ORDER BY, and WHERE

Module 3: Filtering and Conditions
Logical operators (AND, OR, NOT) Range and pattern matching with BETWEEN, LIKE, and IN

Module 4: Joining Tables
Inner join, left join, right join, and full join Joining multiple datasets with ON conditions Handling missing values and join mismatches

Module 5: Aggregations and Grouping
Using GROUP BY, COUNT, AVG, SUM, MAX, MIN Filtering grouped data with HAVING

Module 6: Advanced SQL Techniques in SAS
Using subqueries in SELECT, WHERE, and FROM clauses Creating new columns with CASE statements Combining PROC SQL with macro variables

Module 7: Hands-on Project
Real-world case study: Joining multiple datasets and building a summary report Optimization tips and error handling