🎓 Analytics & Reporting (SAS & CDISC) Certification Programs

Offered by Qtech-Sol Professional Development Center

🔹 Introduction

Analytics & Reporting powers evidence generation in clinical development—turning raw clinical data into submission-ready outputs and insights for sponsors, regulators, and patients. Roles range from SAS programmer to lead statistical programmer responsible for traceability from SDTM → ADaM → TLGs, while ensuring standards (CDISC) and inspection readiness.

Qtech-Sol’s pathway spans essentials to advanced: learn SAS programming, CDISC mapping, analysis dataset build, and production of tables, listings, and graphs, with strong emphasis on Good Programming Practices (GPP), documentation, validation/QC, and delivery bundles aligned to reviewer expectations.

🌟 Best-Fit Program Finder

At Qtech-Sol Professional Development Center, we know every learner’s journey is unique. That’s why we’ve built this Best-Fit Program Finder to match your education, experience, and career goals with the right training program.

Whether you’re a student, career changer, or working professional, our tool helps you quickly discover the program best suited to your background.

🔹 Option A — Manual Filters
Select your Education Major, Level, Experience, Student Category, and Domain from the dropdowns, then click Show Programs to see your best-fit training options.

🔹 Option B — Resume Parse
Paste or upload your resume (Word/PDF), and our AI parser will extract your details to recommend the most relevant programs. Click Parse & Recommend to view suggestions.

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🔹 Available Certification Programs

1. SAS Programming — Basics (SAS-Basics — Foundations)
  • Level: Essentials–Entry (All levels; no prior SAS required)
  • Duration: 6 weeks / 150 hours
  • Curriculum:
    • SAS interface, libraries, DATA step & PROC basics
    • Import/export (CSV, Excel, TXT), formats & informats
    • Sorting, merging, subsetting, basic summary procedures
    • PROC FREQ/MEANS/UNIVARIATE; simple reports with PROC REPORT
    • Intro to PROC SQL and macro variables (lite)
  • Format: LMS lessons, hands-on labs, short quizzes
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2. Statistical Programmer (Functional) (StatProg — Core Role)
  • Level: Entry–Intermediate (SAS-Basics or equivalent)
  • Duration: 8 weeks / 180 hours
  • Curriculum:
    • Clinical programming workflow: specs → build → QC → delivery
    • Good Programming Practices (GPP), validation & documentation
    • Derivations, visit windows, imputation patterns
    • Reusable macros, parameterized programs, version control
    • Issue tracking, audit trails, and reviewer packages
  • Format: LMS lessons, case sims, code reviews & peer-QC drills
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3. SAS Advanced — Statistics & Graphs (SAS-Advanced — Pro)
  • Level: Intermediate–Advanced (1+ year SAS or StatProg)
  • Duration: 6 weeks / 150 hours
  • Curriculum:
    • PROC SQL deep-dive, joins, set operations, performance tips
    • Arrays, hash objects, advanced DATA step techniques
    • Macro language: macros, macro functions, program control
    • ODS & SG procedures: publication-ready graphs & styles
    • Robustness, efficiency, and re-use patterns
  • Format: LMS lessons, advanced labs, mini-projects
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4. Clinical SAS Programmer (Package) (ClinSAS — End-to-End)
  • Level: Cohort Package (Entry→Advanced path)
  • Duration: 12 weeks / 260 hours
  • Curriculum:
    • From raw → SDTM mapping (specs, CT, P21 checks)
    • ADaM build (SL/ASE/ADSL, BDS, TTE), traceability best practices
    • TLG production (shells → programs → QC)
    • Define-xml awareness, reviewer’s guide inputs, delivery bundles
    • Submission readiness, metrics & issue burn-down
  • Format: Structured pathway (SAS-Basics → SDTM → ADaM → TLGs), capstone
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5. Study Data Tabulation Model (SDTM — Mapping)
  • Level: Essentials–Intermediate (CDISC-aware SAS users)
  • Duration: 3 weeks / 60 hours
  • Curriculum:
    • SDTM model & IG overview; domains, keys & relationships
    • Controlled terminology, value-level metadata, special-purpose domains
    • Mapping specs from protocol/CRF; derivations & assumptions
    • Pinnacle 21 validation, common issues & remediation
    • Traceability to ADaM & submission considerations
  • Format: LMS lessons, mapping labs, validation drills
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6. Analysis Data Model (ADaM — Analysis-Ready)
  • Level: Intermediate (SDTM or equivalent experience)
  • Duration: 3 weeks / 60 hours
  • Curriculum:
    • ADaM structures (ADSL, BDS, OCCDS) & analysis variables
    • Traceability from SDTM; parametric vs. derived endpoints
    • Time-to-event, visit windows & censoring logic
    • Metadata/spec writing; QC & reviewer expectations
    • Readiness for TLGs & submission packages
  • Format: LMS lessons, spec labs, derivation exercises
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7. Tables, Listings & Graphs (TLGs — Outputs)
  • Level: Essentials–Intermediate (ADaM-ready datasets)
  • Duration: 3 weeks / 60 hours
  • Curriculum:
    • Shell design & specification alignment (SAP ↔ outputs)
    • PROC REPORT/TABULATE/Rtf/ODS; pagination & styles
    • Listings vs. summaries; safety/efficacy views
    • Graphs via SG procedures; annotation & consistency checks
    • Output QC, compare tools & automation patterns
  • Format: LMS lessons, output labs, QC templates
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8. CDISC Standards — Overview (CDISC — Orientation)
  • Level: Essentials (All roles new to CDISC)
  • Duration: 2 weeks / 40 hours
  • Curriculum:
    • CDISC ecosystem: SDTM, ADaM, Define-xml, CTRG, CT
    • Standards governance & change control
    • Spec-driven development & submission readiness
    • Common reviewer expectations; avoiding frequent pitfalls
    • How CDISC aligns cross-functional teams (Stats/Clin/Reg)
  • Format: LMS lessons, quizzes, guided reading maps
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9. AI in Data & Analytics (AI-DA — Modern Practice)
  • Level: Intermediate–Advanced (Data-savvy programmers)
  • Duration: 4 weeks / 90 hours
  • Curriculum:
    • AI/ML use-cases in clinical analytics: anomaly detection, outliers
    • Assisted TLG checks & spec conformance; code-review aids
    • NLP for spec parsing & QC narratives; pattern mining in logs
    • Governance: data integrity, bias, explainability, validation
    • Pilot→scale adoption plan & guardrails
  • Format: LMS lessons, tool demos, mini-projects
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🛠️ Learning Features & Support

  • AI-powered Learning Management System (Q-LMS)
  • Self-paced role-based lessons, task uploads, and scenario simulations
  • Interactive evaluations, quizzes, and mock deliveries
  • Final exam and Certification of Completion
  • Optional Resume Marketing Services (RMS): Resume prep, mock interviews, job search strategy

✅ Why Join Qtech-Sol?

  • ✔️ Role-based learning aligned to SAS programmer and lead programmer duties
  • ✔️ Standards-driven builds with CDISC traceability and review readiness
  • ✔️ Training aligned with GPP, 21 CFR Part 11, and CDISC guidance
  • ✔️ Career mentorship and RMS job placement support
  • ✔️ Designed for freshers, working professionals, and career changers

🔜 Next Steps