SAS Programming Training is a foundational analytics training program designed to equip learners with the skills required to manage, manipulate, and analyze structured data using SAS. This intensive training focuses on core SAS programming concepts, including data step processing, PROC SQL, data manipulation techniques, and reporting. Participants will gain hands-on experience in writing efficient SAS code for data analysis, business reporting, and decision-making use cases across industries such as banking, healthcare, insurance, and retail.

Participants will develop strong foundational skills in SAS programming, including data handling, procedural analysis, and reporting. They will gain the ability to write optimized SAS code for business analytics and improve their data-driven decision-making capabilities in professional environments.

• Data Analysts and Business Analysts
• Reporting Professionals
• Beginners in Data Analytics
• Software Developers transitioning into analytics
• Professionals working with data-driven decision systems

• Basic understanding of data concepts
• Familiarity with spreadsheets (Excel recommended)
• Fundamental knowledge of statistics is beneficial but not mandatory
• No prior SAS experience required

• SAS programming fundamentals and environment understanding
• Data import, export, and dataset management
• Data cleaning and transformation techniques
• PROC SQL querying and data extraction
• Statistical reporting using SAS procedures
• Basic macro usage for automation
• Ability to generate business-ready reports

Upon completion of this training, participants will be able to independently write SAS programs for data extraction, transformation, and reporting. They will be capable of handling real-world datasets, performing analytical operations, and generating structured business reports using SAS procedures and SQL integration.

Introduction to SAS Programming Environment
• Overview of SAS architecture and components
• SAS Studio and Enterprise Guide basics
• Understanding SAS libraries and datasets
• Writing first SAS program

Data Step Fundamentals
• Structure of DATA step
• Reading external data sources
• Creating and modifying datasets
• Working with variables and observations
Data Manipulation Techniques
• Conditional statements in SAS
• Functions for data transformation
• Merging and appending datasets
• Sorting and filtering data

PROC SQL Essentials
• Introduction to PROC SQL
• SELECT queries and filtering data
• Joins and subqueries
• Creating tables using SQL in SAS
Advanced SAS Procedures
• PROC MEANS, PROC FREQ, and PROC SUMMARY
• Data summarization and aggregation techniques
• PROC REPORT for business reporting

Introduction to Macros and Automation
• Basics of SAS macros
• Macro variables and macro programs
• Automating repetitive tasks

Mini Project & Debugging Techniques
• End-to-end data analysis workflow
• Common errors and debugging methods
• Report generation for business scenarios

• SAS programming syntax and structure
• Data step processing and dataset manipulation
• PROC SQL queries and joins
• Data summarization and reporting techniques
• Macro basics and automation logic
• Practical data analysis workflow execution

• Daily hands-on coding exercises
• Practical assignments after each module
• Handson exercises evaluation
• Trainer-led code review and feedback session

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in SAS Programming, validating their expertise in SAS programming fundamentals, data manipulation, PROC SQL, data analysis techniques, reporting, and basic automation using SAS macros.