Master SAS Programming – Expert-Led Classes | Sourav Sir
SAS Syllabus & Teaching Methodology | Sourav Sir Classes
πŸ“˜ Complete Academic Blueprint

Syllabus, Exam Structure
& Teaching Methodology

A transparent, intelligent breakdown of what you will study, how each topic is examined, and the precise teaching architecture designed to move you from understanding to mastery β€” step by step.

Conceptual Dependency Flow β€” Build on Every Layer

1
SAS Basics Foundation
2
Data Steps Data Engine
3
PROC Suite Analytics
4
Statistics Reasoning
5
Macros Automation
6
ODS & Report Output

Every SAS journey begins here. Without a solid grip on the environment, all subsequent code is fragile. This unit ensures structural confidence before any data is touched.

  • SAS interface layout: Program editor, Log, Output windows
  • SAS libraries, logical names and LIBNAME statement
  • SAS program structure: DATA step vs PROC step
  • SAS variable types: Numeric, Character, Date
  • SAS naming conventions and commenting practices
Exam Weight
12%

The DATA step is the heart of SAS. It controls how data enters the system, how it is transformed and how it flows. Mastery here unlocks every advanced topic that follows.

  • INPUT, INFILE, SET, MERGE, UPDATE statements
  • Conditional logic: IF-THEN-ELSE, SELECT-WHEN
  • DO loops, DO WHILE, DO UNTIL structures
  • Arrays and restructuring data (reshape logic)
  • Data cleaning: missing values, error handling, coercions
  • Output control: KEEP, DROP, RENAME, WHERE
Exam Weight
22%

PROC procedures are SAS's ready-to-use analytics engines. Each PROC solves a specific category of problem β€” statistical, descriptive, structural or output-oriented. This unit covers the most exam-critical and industry-relevant ones.

  • PROC PRINT, PROC CONTENTS, PROC DATASETS
  • PROC SORT, PROC FREQ, PROC MEANS, PROC SUMMARY
  • PROC TABULATE for cross-tabulation reporting
  • PROC REPORT for professional formatted output
  • PROC SQL β€” full SQL inside SAS
  • PROC TRANSPOSE for data restructuring
Exam Weight
25%

This is where SAS earns its reputation in research. Statistical analysis in SAS is audit-ready, reproducible and globally accepted β€” critical for pharma, finance and government research.

  • PROC UNIVARIATE β€” full distributional analysis
  • PROC CORR β€” correlation matrices and p-values
  • PROC REG β€” linear regression modelling
  • PROC ANOVA & PROC GLM β€” variance analysis
  • PROC LOGISTIC β€” binary and ordinal outcome models
  • Hypothesis testing framework in SAS context
Exam Weight
20%

SAS Macros elevate you from a code-writer to an automation architect. They allow dynamic, reusable programs β€” the difference between a beginner and a professional SAS programmer.

  • Macro variables: %LET, automatic vs user-defined
  • Macro programs: %MACRO / %MEND structure
  • Macro conditionals: %IF-%THEN, %DO loops
  • CALL SYMPUT and SYMGET β€” DATA to macro bridge
  • Macro debugging: MPRINT, MLOGIC, SYMBOLGEN options
  • Practical automation: reusable reporting frameworks
Exam Weight
14%

Knowing how to produce clean, professional output is what separates academic SAS from industry SAS. ODS controls formatting and delivery β€” PDF reports, RTF documents, Excel exports.

  • ODS PDF, ODS RTF, ODS EXCEL destinations
  • Custom formats with PROC FORMAT
  • Labels and display formatting in output
  • TITLE and FOOTNOTE statements for professional reports
  • ODS GRAPHICS for built-in graph generation
Exam Weight
7%

Structural Intelligence β€” Topic Sequencing Strategy

The units above are ordered by conceptual dependency, not alphabetical convenience. Units 1–2 build the operational layer. Units 3–4 unlock the analytical layer. Units 5–6 move into professional production. Skipping ahead disrupts the learning architecture β€” our teaching follows this exact sequence with intentional revision bridges between each unit.

🎯 Target Certification
SAS Certified Specialist: Base Programming Using SAS 9.4 β€” the globally recognised entry credential that validates core SAS competency across industries.
International
⏱️ Exam Duration & Format
110 minutes total. Approximately 60–65 multiple-choice and short-answer questions testing conceptual clarity, code interpretation and output reading.
110 Min
βœ… Passing Score
Minimum 68% to pass. Our course targets 85%+ through structured mock tests, error analysis cycles and timed practice sets.
68% Pass
πŸ“Š Difficulty Distribution
Easy (recall-based): ~25% Β· Medium (application-based): ~50% Β· Hard (analysis of output/errors): ~25%. Medium tier is where most marks are won or lost.
3 Levels

Marking Scheme & Time Allocation Strategy

Unit Questions (est.) Marks Share Ideal Time Priority
SAS Fundamentals 7–8 12% 12 min πŸ”΅ Base
DATA Step 14–15 22% 26 min πŸ”΄ Critical
PROC Suite 16–17 25% 28 min πŸ”΄ Critical
Statistical PROCs 13–14 20% 22 min 🟠 High
Macro Language 9–10 14% 14 min 🟑 Moderate
ODS & Output 4–5 7% 8 min 🟒 Supporting

Question Types β€” Tap to Reveal Strategy

πŸ“„ Code Reading

Given a SAS program, identify the correct output, number of observations or error produced.

Strategy β†’

Trace the DATA step line by line. Track the PDV (Program Data Vector). Note where RUN; triggers output. Practice on 3–4 examples per session.

πŸ’‘ Conceptual MCQ

Choose the correct statement, keyword, syntax or behaviour from 4 options based on SAS rules.

Strategy β†’

Learn rules, not just syntax. Focus on default behaviours (e.g., default sort order, default output length). Elimination technique wins here.

πŸ› Error Detection

Identify the line or statement causing an ERROR or WARNING in a given program's LOG output.

Strategy β†’

Learn common LOG messages by heart. Know the difference between ERROR, WARNING and NOTE. Practice reading LOG windows in every class session.

πŸ“Š Output Reading

Interpret a printed table, statistical output or PROC result and answer questions about its values.

Strategy β†’

Run every PROC in class and read the full output β€” not just the answer. Understand what every row and column means. Output literacy is a major differentiator.

πŸ”¬ Concept-First Approach
βš™οΈ Application-Driven Practice
πŸ” Spaced Revision Cycles
πŸ“ Live Code Walkthroughs
🎯 Error-Analysis Sessions
πŸ”­

Concept-to-Application Teaching Architecture

Every topic follows a 4-phase delivery sequence

β–Ό
Phase 1 β€” Concept Anchor
The rule, logic or theory is explained in plain language first. No code. Pure understanding of WHY this feature exists in SAS.
Phase 2 β€” Live Demonstration
Concept is coded live with full LOG and OUTPUT walkthrough. Students observe how the system responds to each statement.
Phase 3 β€” Guided Practice
Students write variations of the same code. Instructor monitors and corrects in real time. Errors are treated as learning events.
Phase 4 β€” Application Challenge
A real-world or exam-style problem is posed. Students apply the concept without hints. Debrief follows with alternative approaches.
πŸ“…

Structured Revision Cycle System

Memory architecture built through spaced repetition

β–Ό
Weekly Capsule Review
Every Friday: 20-minute rapid review of the week's core rules and syntax. Retention-focused, not new content.
Unit-End Assessment
After each unit closes, a written or code-based unit test identifies gaps before the next unit begins.
Cumulative Mock Tests
Monthly full-syllabus mock in exam format with time limit, marking scheme and detailed error analysis post-test.
Error Log Journal
Students maintain a running record of mistakes made in tests and exercises. Each error is revisited in the next revision window.
🧠

Analytical Deep-Dive & Interview Preparation

Beyond certification β€” building real analytical thinking

β–Ό
Why-Behind-the-Code Sessions
Dedicated sessions that go beyond syntax into WHY certain SAS behaviours exist β€” critical for viva, interviews and advanced problem-solving.
Industry Use-Case Mapping
Every major topic is linked to a real pharma, finance or research use case to build contextual intelligence.
Interview Question Bank
Curated set of 100+ SAS interview questions with model answers, discussed progressively as topics are completed.
Problem Decomposition Method
Structured approach to breaking any SAS problem into sub-problems. Particularly useful for complex DATA step and macro challenges.
🎬

Post-Class Recording & Resource Architecture

Learn, relearn and revise on your own schedule

β–Ό
Class Recordings
Every session is recorded. Available within 24 hours. Pause, rewind and rewatch any concept as many times as needed.
Code Handout Per Session
Clean, annotated SAS code file for every class. Study material that mirrors exactly what was demonstrated live.
Topic Summary Cards
Concise one-page visual summaries for each unit β€” ideal for last-minute revision and quick reference during practice.
Question Bank Access
Unit-wise and full-syllabus practice question banks updated to match current exam pattern and difficulty distribution.
8–10:1 Student–Faculty Ratio
1:1 Personal Mentorship Sessions
Weekly Progress Review Cycle
24hr Doubt Resolution Window
100+ Interview Questions Covered
∞ Revision Recordings Access

Student Progress Tracking Model β€” Performance Dimensions

Conceptual Clarity
0%
Code Writing Speed
0%
Error Resolution
0%
Mock Test Performance
0%
Interview Readiness
0%

πŸ“Œ Tracked per student. Reviewed weekly. Action plan updated fortnightly.

Mentorship Framework β€” Tap to Explore Each Layer

πŸ” Diagnostic Entry Test

Before batch begins, every student takes a diagnostic test to map existing knowledge and calibrate starting point.

Outcome β†’

Personalised learning gap map created. Students with prior exposure move faster on mastered units. No one starts blind.

πŸ—“οΈ Accountability Check-Ins

Bi-weekly 10-minute 1:1 check-ins with the mentor to review targets, blockers and next actions.

Outcome β†’

Students stay on track. Procrastination is caught early. Mentors adjust pace, style and focus based on individual responses.

πŸ“ˆ Performance Feedback Loop

After every test, a structured debrief sheet identifies strong zones and critical gaps for each student.

Outcome β†’

Targeted remediation sessions for low-score units. Students receive a specific 3-point action plan, not generic advice.

πŸš€ Final Sprint Programme

Last 2 weeks before exam: intensive revision, full mock tests, error correction and confidence building sessions.

Outcome β†’

Students enter the exam with a 4–5 full mock tests completed, all major error patterns resolved, and a clear time management strategy.

Begin Your Mentored SAS Journey

Small batches mean real attention. When you enroll, you are not joining a crowd β€” you are joining a structured, monitored learning relationship designed to get you results. Call 9062395123 or write to souravsirclasses@gmail.com to discuss your current level and which batch suits you best.