SAS Advanced Programming | SAS Data Analyst
Course:  SAS Advanced Programming
Code:  SSAS (Stat and Graphs).
Virtual – Job Focused Self-Paced Online.
(Along Exercise Solutions – Role based tasks)
Post Training Assistance (PTA):
Includes resume support, narrative and mock.
Duration:  6 Weeks / 175 Hours
Online Access :
Qtech-Learning Management System (Q-LMS)
Fees : $487.00 USD
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Course Description:

Qtech-Sol is a Clinical Science Training Provider. This course provides Advanced learning to work as SAS Programmer / Data Analyst. The program includes programming concepts using SAS Stat and Graph Modules. The course emphasizes about role and tasks performed by SAS Programmer to Analyze and Report clinical data captured from clinical trials or post marketing surveillance (Pharmacovigilance data). The course curriculum is designed to give an edge to obtain job as Clinical SAS Programmer / Analyst with Pharmaceuticals, Financial banking, Biotech, Clinical Research Organizations (CROs).

This Advanced SAS Programmer includes concepts using Clinical Data to manage and report Information. The student will learn concepts as Introduction to Statistics, Hypothesis Testing, One-Sample T-tests, Paired T-tests, Two-Sample T-tests, Analysis of Variance (ONE-and TWO-WAY), Linear and Multiple Regression with Diagnostics, Categorical Data Analysis, Graphs Producing Bar and Pie Charts along with Enhanced Output, Plots, ODS and 3D and Geographic reports.

  • 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.

    SAS software is required to participate in this programming course.

  • Learning Outcomes:
    The Benefit Student Gains

    The Benefit Student Gains

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

    The program objective is to help and meet the following career pathways, after completing this practicum program. Students can apply for below open job titles based on highest education background and prior experiences (if any).

  • SAS Programmer
  • Statistical Programmer
  • Programmer Analyst
  • Clinical Data Analyst
  • Data Scientist
  • SAS Data Analyst

It is designed to provide programming personnel and analysts or interested candidates with the skills necessary to produce simple reports and data sets as well as providing an understanding of how to SAS to present and analyze data. The focus of the course is to consider SAS in the data processing environment and provide a strong background for programmers to tackle advanced SAS programming skills. All Two modules SAS Stat, SAS Graphs, are available in our online learning management system.


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

  • This SAS CDOT 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 learned 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.

    Navya C

  • The Clinical Data Oriented SAS Program (CDOT) topics were very helpful to rate me. Chapters were organized better for easy readability. Very good self-paced SAS classes.

    Nisha Devi M

  • Category:
    Data Management
  • Duration:
    06 Weeks / 175 Hours
  • Price:
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