💻 For Engineering, Computer Science, IT & Math Departments

Enterprise SAS Data Engineering & Business Analytics

A comprehensive 40-hour semester courseware covering the SAS Program Data Vector (PDV), advanced PROC SQL relational merges, and scalable Macro automation. Fully aligned with global analytics hiring criteria.

📥 Download SAS Syllabus & BOS Proposal (PDF) 📅 Book 15-Min Department Briefing
SAS Programming Courseware
📦 Complete Syllabus Pack 🎓 Co-Branded Certs 🧠 Interactive Practice Coach
Curriculum Duration 40 Hours (Theory + Lab Exercises)
Target Students B.Tech / B.E. (CSE/IT), MCA, B.Sc Stats, Data Science
Certification Prep Official SAS Base & Advanced Specialist
Faculty Support Slide Decks, Code Repos, Guided Feedback

40-Hour Unit-by-Unit Syllabus Structure

Turnkey course structure designed for semester elective adoption or intensive placement bootcamps.

Unit 1: SAS Environment, Syntax Architecture & Data Ingestion

8 Hours (4 Theory + 4 Lab)
SAS Studio & Cloud Environment • LIBNAME Engines & Two-Level Names • Ingesting Delimited (CSV), Fixed-Width, and Excel Files with `INFILE` and `PROC IMPORT` • Compilation vs. Execution Phases • Program Data Vector (PDV) Deep Dive.

Unit 2: Data Step Programming, Arrays & State Tracking

10 Hours (4 Theory + 6 Lab)
Conditional Logic (`IF-THEN/ELSE`, `SELECT-WHEN`) • Cumulative Processing with `RETAIN` and Sum Statements • Character, Date & Numeric Functions • BY-Group Processing (`FIRST.` and `LAST.` boolean logic) • Reshaping Multi-Dimensional Data with SAS Arrays.

Unit 3: Relational Data Processing with PROC SQL

10 Hours (4 Theory + 6 Lab)
Set Theory vs. Row-by-Row Execution • Inner, Left, Full Outer Joins • Subqueries & In-line Views • Calculating Summary Statistics and Dynamic Group Re-merges • Dynamic Macro Variable Creation with `INTO :variable SEPARATED BY`.

Unit 4: Advanced SAS Macro Facility & Code Automation

8 Hours (3 Theory + 5 Lab)
Macro Variables & Macro Symbol Table • Macro Functions (`%SCAN`, `%SUBSTR`, `%EVAL`) • Modular Macro Definitions with Positional & Keyword Parameters • `%DO` Loops and Conditional Logic • Dynamic Execution with `CALL SYMPUTX`.

Unit 5: Capstone Project & SAS Certification Simulation

4 Hours (Comprehensive Lab)
Banking & Retail Case Study: End-to-end data pipeline cleaning multi-million row transactional logs, automating monthly executive summaries, and sitting a full timed certification mock exam.
Official Academic Request

Request SAS Elective Syllabus & Campus Quote

Receive the complete 40-hour syllabus proposal (PDF) and schedule an academic briefing for your department.