Certificate in SAS Clinical Trial Data Analytics

The Certificate in SAS Clinical Trial Data Analytics is an industry-focused 6-month (144-hour) professional certification program designed to equip learners with the complete skillset required to work in clinical research, clinical programming, pharmaceutical analytics, CRO analytics, and global drug development environments. Delivered by Handson System, this program combines Base SAS, Advanced SAS, and Clinical Trials (SDTM, ADaM, TLF) into a comprehensive, job-ready training experience.

Learners gain access to industry-standard SAS software, real-world datasets, structured course materials, global certification guidance, and hands-on project work relevant to clinical trial reporting. Taught by experienced SAS clinical programmers, this course blends theory with practical exposure to ensure graduates can confidently work on clinical data management, statistical reporting, and regulatory submissions.

This program covers clinical trial workflows, CDISC standards, data preparation, SAS programming, SQL, macros, data validation, TLF generation, ODS graphics, and full project implementation using oncology or other clinical data.

Whether you are from life sciences, pharmacy, biotechnology, biostatistics, bioinformatics, microbiology, pharmacovigilance, or IT, this course provides a powerful pathway into the rapidly growing clinical research and pharmaceutical analytics industry.

Key Program Highlights (Based on Provided Content)

Learn Directly from Industry Experts

The program is taught by senior SAS clinical programmers with years of real-world experience in CROs, pharma companies, and global clinical research environments.

Hands-on Real-World Projects

Work with authentic clinical datasets, complete SDTM and ADaM mapping, generate TLFs, and apply clinical programming standards used by regulatory agencies like FDA, EMA, PMDA, and MHRA.

Global SAS Certification Preparation

Receive complete guidance to clear SAS Base Programming Global Certification, with mock tests, doubt-clearing sessions, and focused mentoring.

Career-Focused Training

Gain industry-relevant skills to work in clinical trials, pharmacovigilance, medical coding, data management, biostatistics, and drug development analytics.

100% Practical and Job-Oriented

Includes ODS graphics, SAS procedures, macro automation, SQL joins, data validation, statistical analysis, TLF creation, and CDISC-compliant programming.

Curriculum Overview

Module I: Base SAS Programming (Global Certification Level)

• Creating datasets, libraries, importing Excel & delimited files

• Data step processing, filtering, KEEP/DROP, DATE handling

• PROC SORT, PROC IMPORT, PROC PRINT, PROC MEANS, PROC FREQ

• DO loops, data type conversion, PROC TRANSPOSE

• Debugging SAS programs & fixing logic/syntax errors

• Summary reports and exporting data

• SQL for joins, subqueries, set operators, and labeling

Module II: Advanced SAS Programming

• Advanced PROC SQL for summarization, grouping, HAVING filters

• Removing duplicates, DISTINCT, inline views

• Data set options (KEEP=, DROP=, RENAME=, OBS=)

• Invocation options (INOBS=, OUTOBS=, NOPRINT)

• Macro programming: variables, SYMPUTX, loops, conditional macros

• SAS macro functions (%SCAN, %SUBSTR, %UPCASE, quoting)

• Debugging with MPRINT, MLOGIC, SYMBOLGEN

• Automating SAS programs using AUTOCALL

Module III: Clinical Trials, SDTM, ADaM & TLF

• Clinical trial workflows, stakeholders, regulatory expectations

• Clinical data management with Base SAS, Macros & SQL

• Preparing clinical trial datasets for analysis

• CDISC SDTM mapping and ADaM creation

• Generating TLF reports using SAS REPORT

• Creating bar charts, scatter plots, survival curves using ODS Graphics

• Data validation, anomaly checks, missing data review

• Statistical analysis for clinical trials

• End-to-end Clinical Data Project using oncology or other datasets

What You’ll Gain

• Mastery of SAS Base, Advanced SAS, and Clinical Trial Programming

• Ability to create SDTM, ADaM, and TLF outputs

• Strong understanding of clinical workflows and regulatory standards

• Skills to work in global CROs, pharma companies, and healthcare analytics

• Resume-building project experience & certificate of completion

Who Should Attend?

• Graduates from Pharmacy, Life Sciences, Biotechnology, Microbiology, Biostatistics

• Clinical Research, Medical Coding, Pharmacovigilance professionals

• Medical Doctors, Clinical Data Managers, Bioinformatics graduates

• Anyone wanting to transition into the Clinical SAS domain