Clinical Research Associate / Coordinator (CRAT)

Clinical Trial Data Analysis and Reporting (CDAR)

This program does not require approval by the Private Training Institutions Branch (PTIB) of the Ministry of Advanced Education, Skills & Training, since the tuition is less than $4000 CAD. As such, PTIB did not review this program.

3 Students Enrolled

The Clinical Trial Data Analysis and Reporting (CDAR) provides intensive learning on how SAS is used in clinical and pharmaceutical industries. How codes, analysis and reports are generated using SAS. The CDAR program emphasizes on real time practice by providing variety of cases study data focusing on Oncology, Cardiology, CNS therapeutics areas. Details on CDISC and how to develop datasets in compliance with Standards, and instructions how data should be used and what parameters should be analyzed in order to successfully complete assigned real time scenario projects.

Our Programs are delivered in 2 Different ways for convenience of student:
• Self-Paced Individual Program (SIP)
– Skill and Job Oriented Certificate programs, delivered as Self-Paced Online with project solutions.
• Self-Paced Blended Program (SBP)
– Skill and Job Oriented Certificate programs, delivered as Self-Paced Online with project solutions. Support thru Email and Phone for queries. Student participates in 7 days Post Training Assistance program for Resume preperation.

Category: SAS Data Analysis and Reporting Lessons: 36 Lessons Duration: 08 Weeks / 200 Hours Language: English
Admission Requirements:

Recommended: An Associate or Bachelor's degree in Statistics, Biostatistics, Biotechnology, Economics, Computer Science, Engineering, Cognitive Science, Data Science, Machine Learning (ML), Artificial Intelligence (AI), Mathematics.

Institutional Scholarship / Promotion:

Institutional Scholarship / Promotion is available for selected on tuition. We review your education background, certifications, and prior experiences (if applicable), to evaluate your eligibility. Qualified student will be provided with the promo code for scholarship on Tuition.
Please Email your resume to Human Resources to check on your eligibility. We will contact you. Qtech's objective is to provide you the right career pathway and advancement required to meet your career goals.

Learning Outcomes:

The Benefit Student Gains

  1. Upgrading the Knowledge required.
  2. Better Resume Placement for promising jobs.
  3. Low Investment, high learnings
  4. Learn from Anywhere, Anytime at your pace.
  5. Job and Title Based Tasks as followed and Practiced in industry
  6. Applying Concept into Real-time (Policies, governance and tools)
  7. Work on Role Based Tasks followed and Practiced in industry
  8. Mocks and Narratives for Client Discussions
  9. Readiness to work with limited support
Career Pathways

Upon completion of the training candidates can apply for positions.

Data Modeler/Data Analyst SAS Data Analyst
SAS Programmer Senior Programmer Analyst
Biostatistician with SAS Programming Data Scientist
SAS Analyst Senior SAS Programmer
Principal Statistician / biostatisticians Programmer Analyst
SAS developer Medical Informatics Analyst
  • Curriculum Overview:

    The CDAR course is designed for individuals who are either SAS Certified or have advanced skills in SAS software functionality. This program is mostly recommended for experienced SAS programmers who are interested in career advancement on clinical field. The course builds upon the concepts presented in the SAS Modules course. Emphasis is placed on how SAS is used in clinical and pharmaceutical industry. The course comprises SAS Business and SAS Projects (Therapeutic Based Projects and Prototype Clinical Data). To ensure the candidates gain practical knowledge and hands on skills in clinical data analysis and reporting in the industry, the teaching/learning and projects will be related to the clinical trials from phase I to phase IV. This includes variety therapeutic areas, such as oncology, ophthalmology, cardiology and central nervous system. Related data analysis and reporting follow each phase of clinical trials.

    36. Aggregate Reporting



    Knowledge of the clinical domain:

    1. Elementary SAS Concepts

    2. SAS Efficiency Programming

    3. Introduction to Clinical Trials

    4. Types and Data in Clinical Trials

    5. Clinical Trial Protocol Development

    6. Elements of CRF Design

    7. Electronic Data Capture (EDC)

    8. Good Clinical Practices

    9. Good Documentation Practices

    10. Workflow Instruction Request

    11. Documentation Templates

    12. Introduction to Data Validation

    13. Data Based Validation

    14. Protocol Based Validation

    15. Basic of Statistics

    16. Statistical Analysis Planning

    17. Elements of Hypothesis Testing

    18. Basic of Efficiency

    19. Integrated Summary of Effectiveness (ISE)

    20. Integrated Summary of Safety (ISS)

    21. Clinical Data Interchange Standards Consortium

    22. Preparing Analysis Data sets

    23. Creating Tables Listing and Graphs (TLG)

    24. Understanding Various Therapeutics Areas

    25. Data Based Therapy

    26. Introduction to Phase I Studies

    27. Oncology Project

    28. Introduction to Phase II Studies

    29. Ophthalmology Project

    30. Introduction to Phase III Studies

    31. Cardiology Project

    32. Introduction to Phase IV Studies

    33. Central Nervous Systems (CNS) Project

    34. Introduction to Pharmacovigilance

    35. Pharmacovigilance Reporting



    1. About SA Institute

    2. Introduction to SAS

    3. Components of SAS Program and Code Writing

    4. Running SAS Programs

    5. Mastering Fundamental Concepts

    6. Diagnosis and Correcting Syntax Errors

    7. SAS Options

    8. Types of Input Statements

    9. SAS Format and Informats

    10. Using Advanced Input Techniques

    11. SAS Date and Time

    12. Subsetting, Combining and Sorting Datasets

    13. Merging and Updating Data

    14. Performing Conditional Processing

    15. Performing Iterative Processing – Looping

    16. Creating Customized List Reports

    17. Arrays

    18. Creating Enhancing List and Summary Reports

    19. Creating Proc Tabulate


    1. Fundamentals of Macros

    2. Macro Application

    3. Macros Program Structure

    4. Macros Statements

    5. Macro Variables

    6. Macro Functions

    7. Writing Macro Programs


    1. Introduction to the SQL Procedure

    2. Retrieving Data from a Single Table

    3. Retrieving Data from Multiple Tablets

    4. Creating and Updating Tables and Views

    5. Programming with the SQL Procedure

    6. Practical Problem-Solving with PROC SQL



    1. Introduction to Statistics

    2. Hypothesis Testing

    3. One-Sample T-tests

    4. Paired T-tests

    5. Two-Sample T-tests

    6. Analysis of Variance (ONE-WAY)

    7. Analysis of Variance (TWO-WAY)

    8. Linear Regression

    9. Multiple Regression

    10. Regression Diagnostics

    11. Categorical Data Analysis


    1. Producing Bar and Pie Charts

    2. Enhancing the Output in the Graphs

    3. Producing Plots

    4. ODS (Output Delivery System)

    5. Creating 3rd and Geographic Reports


    Exposure to daily roles and responsibilities

    1: Data Based Validation

    2: Protocol Based Validation

    3: Elements of Hypothesis Testing (Pk, Pd and Dose)

    4: Preparing Analysis Datasets and CDISC

    5: Therapeutic Areas: Oncology Project

    6: Therapeutic Areas: Ophthalmology Project

    7: Therapeutic Areas: Cardiology Project

    8: Therapeutic Areas: Central Nervous System (CNS) Project

    9: Aggregate Reporting Process

    10: SAS Efficiency Programming

    11. Open CDISC Validator



5.00 average based on 3 ratings

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  • Thanks to Q tech for helping me to get back to workforce within 2 months. The CDAR program task-based exercises, provided me insight of role performed in real-time allowing me to get started at job right away.

    Maureen D (Texas)

    Julee A – NYC

  • This SAS CDAR training gave me a real-time job experience. The learning process was gradual, and the tasks were very interesting and very useful for gaining hands-on experience. I learnt more when compared to my previous knowledge before starting this course. All the tasks and scenarios were different, and it was a very good learning experience.

    Maureen D (Texas)

    Navya C – Dallas, Texas

  • The Clinical Data Oriented SAS Program (CDAR) topics was very helpful to rate myself. Chapters were organized better for easy readability. Very nice self-paced SAS classes.


    Nisha D M K, Philadelphia, PA