Apply Advanced PROC SQL Techniques for Data Analysis

Instructor: EDUCBA

Access provided by Burma Academy

5 modules

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

5 modules

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

Design advanced PROC SQL queries using conditional logic, views, subqueries, and reusable SQL patterns.
Optimize PROC SQL performance through efficient joins, indexing, query tuning, and debugging techniques.
Troubleshoot and maintain complex SQL workflows for scalable, enterprise-grade data analysis in SAS.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

20 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 5 modules in this course

By the end of this course, learners will be able to design advanced PROC SQL queries, apply conditional logic, build reusable views, optimize query performance, and troubleshoot complex SQL workflows within the SAS environment.

This course provides an in-depth, hands-on exploration of advanced PROC SQL concepts, moving beyond basic querying to focus on real-world data manipulation, reporting, automation, and performance optimization. Learners will progressively develop skills in creating derived data, managing character and numeric transformations, implementing CASE logic, enforcing data integrity with constraints and keys, and designing efficient joins and indexes. The course also covers advanced topics such as debugging techniques, query tuning, subqueries, and matrix-style SQL solutions for multi-dimensional analysis. By completing this course, learners gain practical expertise required for data analyst, SAS programmer, and reporting specialist roles, enabling them to write efficient, maintainable, and scalable SQL code. What makes this course unique is its end-to-end PROC SQL focus—combining logic, performance, automation, and troubleshooting—supported by structured modules, practice quizzes, and graded assessments aligned to real enterprise use cases. This course is ideal for learners who want to apply, analyze, and optimize PROC SQL for professional data analysis and reporting workflows.

This module introduces core PROC SQL techniques for creating numeric and character data, applying logical conditions, exploring metadata, and generating structured reports, enabling learners to build a strong foundation in SQL-based data manipulation within SAS.

What's included

9 videos4 assignments

9 videos Total 72 minutes

Creating Numeric Data 7 minutes
Creating Aliases 7 minutes
Logical Operator 6 minutes
Aligning Characters 5 minutes
Extracting Information from String 8 minutes
Data with Count Function 11 minutes
Non Consecutive Values 9 minutes
PROC SQL Dictionary 11 minutes
PROC SQL Report Generator 10 minutes

4 assignments Total 60 minutes

Building and Shaping Data 10 minutes
Working with Character Data 10 minutes
Advanced Data Exploration 10 minutes
Graded-Foundations of Data Creation & Manipulation in PROC SQL 30 minutes

This module focuses on creating reusable SQL views, managing libraries, formatting query output, and implementing grouping and conditional logic to build professional, readable, and maintainable PROC SQL reports.

What's included

9 videos4 assignments

9 videos Total 77 minutes

PROC SQL Report Generator Continues 8 minutes
Defining Views 9 minutes
Changing Table Via View 6 minutes
Managing Library References 7 minutes
Formatting Output in Proc SQL 8 minutes
Formatting Output Using Scalar Expression 7 minutes
Sub Setting Group with Having Clause 8 minutes
Coding Logic in Proc SQL 12 minutes
Coding Logic in Proc SQL Continues 12 minutes

4 assignments Total 60 minutes

Advanced Reporting Techniques 10 minutes
Managing Libraries and Formatting 10 minutes
Grouping and Conditional Logic 10 minutes
Graded-Reporting, Views, and Output Control 30 minutes

This module covers advanced SQL logic, automation through macro variables, data population techniques, and enforcement of data integrity using constraints and relational keys in PROC SQL.

What's included

9 videos4 assignments

9 videos Total 76 minutes

More on Coding Logic in Proc SQL 6 minutes
Coding Proc SQL 10 minutes
Creating Multiple Macro Variable 11 minutes
Identifying Duplicate Row from Coding 3 minutes
Creating Populating Data in SQL 9 minutes
Create Table Using Like Clause 9 minutes
Adding Data Using Select Query 6 minutes
Check Constraint in Proc SQL 12 minutes
Establishing Primary and Foreign Keys 10 minutes

4 assignments Total 60 minutes

Advanced Logic Implementation 10 minutes
Data Validation and Deduplication 10 minutes
Enforcing Data Rules 10 minutes
Graded-Logic, Automation, and Data Integrity 30 minutes

This module emphasizes query optimization through indexing strategies, efficient join techniques, and performance analysis to handle complex, multi-table PROC SQL queries effectively.

What's included

9 videos4 assignments

9 videos Total 84 minutes

Modifying Updating Tables 12 minutes
Creating Simple and Composite Index 12 minutes
Coding Complex Queries 8 minutes
Equi Joins and Reflexive Joins Queries 10 minutes
Performance Computations in Joins 7 minutes
Joins in Proc SQL 8 minutes
Joins in Proc SQL Continues 6 minutes
Complex Queries in Proc SQL 11 minutes
Comparing Complex Queries in Proc SQL 12 minutes

4 assignments Total 60 minutes

Optimizing Data Structures 10 minutes
Join Fundamentals and Performance 10 minutes
Advanced Join Strategies 10 minutes
Graded-Performance, Indexing, and Joins 30 minutes

This module equips learners with advanced debugging techniques, performance tuning strategies, subquery implementations, and matrix-style SQL solutions for solving complex analytical problems in PROC SQL.