SAS Advanced Programming | SAS Data Analyst
Data Management
7 Weeks / 175 Hours


Introduction – Learning SAS – Advanced

Welcome to Qtech-Sol, where our dedication to specialized education extends into the domain of Clinical Science, recognizing the vital role that Clinical SAS Programmers play in the realm of clinical research. Our comprehensive program is thoughtfully designed to cater to the unique needs of individuals aspiring to excel in this crucial capacity.

At Qtech-Sol, we are deeply committed to nurturing the next generation of Clinical SAS Programmers. We invite you to embark on your journey towards becoming a highly skilled and sought-after professional, where your contributions will significantly advance medical research and ultimately enhance patient outcomes. Join us in shaping the future of clinical data management through the mastery of SAS software, data analysis, and visualization in the SAS Graphs and SAS Stat modules, unlocking limitless possibilities in the field of clinical research.

In the ever-evolving landscape of healthcare, Clinical SAS Programmers are instrumental in ensuring the precision, integrity, and regulatory adherence of clinical trial data. As clinical research protocols continue to grow in complexity, and the demand for robust data management escalates, proficient professionals who can adeptly handle data throughout its lifecycle are in high demand.

Our curriculum places a strong emphasis on the foundational responsibilities that Clinical SAS Programmers shoulder. This encompasses the meticulous collection, validation, cleaning, and reporting of clinical data. We recognize the pivotal role that Clinical SAS Programmers play in maintaining data quality, facilitating regulatory submissions, and contributing to the seamless execution of clinical trials.

What sets our educational program apart is its strategic focus on equipping students with the specialized knowledge and practical skills required to excel as Clinical SAS Programmers. We provide comprehensive training on industry-standard tools, data management best practices, and compliance with regulatory guidelines. Specifically, we emphasize the effective utilization of SAS (Statistical Analysis System) software for clinical data analysis and visualization.

By enrolling in our program, students gain a competitive edge in securing highly coveted employment opportunities as Clinical SAS Programmers. They are well-prepared to contribute their expertise to pharmaceutical companies, biotechnology firms, medical device manufacturers, clinical research organizations (CROs), and research clinics.

Course Name :  Learning SAS – Advanced
(Role based Lessons – Case Scenarios, Job Tasks with Solutions)
Course Code :  SSAS (SAS Stat and Graphs Modules)
Experience Level :  Entry Level
Qualification :  Bachelors
Student Category :  Recently Graduated / Career Changer
Course Material : This course contains and delivers 16 Lessons.

This comprehensive program consists of lessons, organized into three distinct modules (CDOT, BSAS and SSAS), designed to be completed over a span of 16 weeks and includes lessons delivered in various formats, such as narrated presentations, course reading materials (chapters), quizzes for practice (15 sets), tests (10 sets), short questions, and role-based tasks with accompanying solutions.

Every lesson encompasses diverse delivery methods, including:

  1. Narrated Presentations: Engaging presentations accompanied by voiceovers to enhance comprehension.
  2. Course Reading Material: Comprehensive chapters designed to facilitate an in-depth understanding of the subject matter.
  3. Practice Quizzes: A set of 15 quizzes to reinforce learning and assess your progress.
  4. Assessment Tests: Ten different test sets to evaluate your grasp of the material.
  5. Short Questions:Succinct questions to encourage critical thinking and quick recall.
  6. Role-Based Tasks: Practical exercises tailored to specific roles, accompanied by detailed solutions for comprehensive learning.
Delivery Type

SIP – Self-Paced Online with Support

Course Duration

SSAS-SIP Delivery – 6 Weeks / 45 Days (Self-Paced)


Below are the details of the SAS Stat and SAS Graph modules you can expect to learn in our program, in addition to Base SAS, SAS Macros, and SAS SQL offered in Basic Learning.

SAS Stat Module:

  1. Advanced Statistical Concepts: Explore complex statistical concepts and methods used in clinical research and data analysis.
  2. Hypothesis Testing: Master hypothesis testing techniques, including parametric and non-parametric tests, to assess the significance of data.
  3. Regression Analysis: Learn about regression analysis to model relationships between variables and make predictions.
  4. Analysis of Variance (ANOVA): Understand how to perform ANOVA to analyze variations among groups and factors.
  5. Non-Parametric Statistics: Explore non-parametric statistical methods for data that does not follow a normal distribution.
  6. Survival Analysis: Gain proficiency in survival analysis techniques commonly used in clinical trials.
  7. Longitudinal Data Analysis: Learn how to analyze data collected over time, including repeated measures and mixed models.
  8. Advanced Graphical Techniques: Explore advanced data visualization methods to present complex data effectively.
  9. Multivariate Analysis: Dive into multivariate statistical techniques for analyzing data with multiple variables.
  10. Practical Applications: Apply statistical concepts to real-world clinical data scenarios.

SAS Graph Module:

The SAS Graph module equips you with the skills to create visually compelling graphs and charts from your data. You’ll learn how to effectively communicate your findings through data visualization. This module covers:

  1. Graphing Fundamentals: Get started with the basics of creating graphs, including selecting the right graph type for your data.
  2. Customizing Graphs: Learn how to customize the appearance and layout of graphs to convey information effectively.
  3. Data Visualization: Explore various techniques for visualizing data, such as bar charts, scatterplots, and histograms.
  4. Advanced Graphing: Dive into advanced graphing features to create complex and informative visualizations.
  5. Interactive Graphs: Understand how to create interactive graphs for dynamic data exploration.
  6. Graphical Best Practices: Learn about best practices in data visualization to enhance the clarity and impact of your graphs.
  7. Real-World Applications: Apply graphing techniques to real clinical data scenarios and reporting.
  8. These modules expand your SAS programming knowledge to include advanced statistical analysis and data visualization, allowing you to effectively analyze and communicate clinical data findings.

    Course Enrollment process

    Qtech-Sol offers a flexible approach to learning through our self-paced online courses. Students have the freedom to commence their studies at their convenience, following a straightforward process.

    1. Member Registration: Begin by registering as a member of our platform
    2. Course Selection: Explore and choose the course that best suits your needs and goals.
    3. Enrollment and Tuition: Complete the enrollment process and make the necessary tuition payment.
    4. Access Learning Materials: Access course materials and resources through our Learning Management System (LMS).
    5. Support and Assistance: Receive support and assistance via email or schedule Google Meet sessions through the LMS.
    6. Course Task Submissions: Submit course-related tasks and assignments as per the provided schedule.
    7. Final Examination: Upon finishing the course, take the final examination to demonstrate your understanding.
    8. Course Completion: Upon successful completion, receive a course completion certificate and a transcript.
    9. Post-Training Support: Take advantage of our post-training support for assistance with resume building, narrative development, and mock interviews.

    This step-by-step process ensures a smooth and flexible learning experience, allowing you to acquire valuable skills and knowledge at your own pace.

    Building Relevant Experience

    Upon successfully completing the SAS Stat and SAS Graph modules at Qtech-Sol, students will acquire a specialized skill set tailored to the unique demands of clinical data management and analysis. These modules offer an in-depth exploration of statistical analysis and data visualization, both of which are integral to the field.

    In the SAS Stat Module, students delve into advanced statistical concepts, hypothesis testing, regression analysis, ANOVA, non-parametric statistics, survival analysis, longitudinal data analysis, multivariate analysis, and advanced graphical techniques. This comprehensive curriculum equips students with the expertise needed to conduct intricate data analyses, model relationships, and interpret complex clinical data effectively.

    In the SAS Graph Module, students focus on data visualization, learning the fundamentals of creating various types of graphs, customizing graph appearance, employing data visualization techniques, and mastering advanced graphical tools. They also discover the art of designing interactive graphs and apply best practices to enhance the clarity and impact of data visualization.

    By completing these modules, students emerge as proficient SAS users with advanced skills in statistical analysis and data visualization, fully prepared to excel in clinical data analysis, make data-driven decisions, and effectively communicate their findings in the clinical research domain.

    Educational Requirements:

    Preferred Qualifications: In our pursuit of nurturing adept Clinical SAS Programmers, we recommend candidates to hold an associate or bachelor’s degree in specific fields that provide a strong academic foundation. These chosen majors or related fields equip individuals with essential knowledge and skills highly relevant to the role of a Clinical SAS Programmer. Eligible majors encompass a diverse range of disciplines, including:

    Statistics: A degree in Statistics equips individuals with a solid grounding in statistical methodologies, which is fundamental for effective data analysis.

    Biostatistics: This major specializes in applying statistical methods to the realm of healthcare and life sciences, aligning perfectly with the requirements of clinical data analysis.

    Computer Science: Computer Science programs offer valuable expertise in programming languages and data manipulation, which are pivotal for SAS software utilization and data analysis.

    Bioinformatics: Bioinformatics combines biology, computer science, and statistics, making it highly relevant for the management and analysis of biological and clinical data.

    Mathematics: A degree in Mathematics provides a strong mathematical background, a critical asset for performing statistical analysis and programming tasks in clinical data management.

    Pharmacy: Pharmacy majors offer insights into drug development and healthcare, particularly valuable for those interested in clinical trials related to pharmaceutical products.

    Life Sciences: Majors such as Biotechnology, or Pharmacology in the Life Sciences domain provide domain-specific knowledge that synergizes well with data analysis skills.

    Clinical Research: Majoring in Clinical Research imparts an in-depth understanding of the clinical trial process and regulatory intricacies, aligning directly with clinical data management roles.

    Public Health: Public Health programs encompass courses in epidemiology, biostatistics, and data analysis, providing vital skills for clinical data management.

    These chosen educational backgrounds establish a sturdy platform for individuals aspiring to pursue a fulfilling career as Clinical SAS Programmers. They not only offer pertinent insights and expertise directly applicable to the field of clinical data analysis and management but also ensure that candidates are well-prepared to excel in the dynamic and critical role of Clinical SAS Programming. While possession of one of these preferred qualifications is encouraged, we also value inclusivity and recognize the unique contributions of applicants with equivalent degrees or relevant experience, fostering a diverse and enriching learning environment within our program.

    Support After Training:

    Your resume is often the first impression you make on recruiters and potential employers. In today’s competitive job market, it’s crucial to ensure that your resume meets industry standards and effectively represents your qualifications. That’s where our Post-Training Assistance (PTA) program comes in.

    Our PTA program offers valuable assistance in resume building, interview preparation, and mock interviews. It’s not just about creating a strong resume; it’s also about understanding the current job market in your area, identifying available positions, gauging salary ranges, and ensuring that your resume aligns with your career goals. During the PTA program, you’ll have the opportunity to engage with our course specialists, taking small but meaningful steps toward your professional success. We’ll work together as a team to help you achieve your career objectives.

       Key Learning Outcomes and Benefits for Students:

    1. Enhancing the knowledge and skills required for your field.
    2. Improving your resume to increase your chances of landing promising job opportunities.
    3. High-value learning at an affordable cost.
    4. Flexibility to learn from anywhere, at your own pace.
    5. Practical tasks aligned with real-world industry practices and job roles.
    6. Application of concepts in real-time scenarios, including policies, governance, and industry tools.
    7. Engaging in role-based tasks commonly practiced in the industry.
    8. Preparation with mock interviews and interview narratives for effective client discussions.
    9. Readiness to work with minimal support, boosting your confidence in your chosen field.
    Professional Organizations and Associations:

    As a dedicated SAS Programmer, active participation in relevant professional organizations and associations is not only advisable but instrumental in your career growth. These specialized groups cater to the unique needs of SAS Programmers and offer an array of valuable benefits. By becoming a member, you gain access to invaluable networking opportunities, a treasure trove of essential resources, and insights generously shared by fellow SAS experts. Your involvement in these associations will not only keep you connected with like-minded professionals but also keep you updated with the latest trends and innovations within the SAS programming domain. The collaborative environment fostered by these organizations can significantly enhance your knowledge, boost your career prospects, and establish meaningful connections within the SAS programming community.

    Stay Informed:

    In the ever-evolving landscape of SAS programming, staying well-informed is not merely an option; it’s a necessity. Capitalize on global clinical resource information sources to ensure you remain at the forefront of the latest news and developments across various facets of your profession. Regularly delve into updates pertaining to SAS programming, statistical analysis, regulatory compliance, and pharmacovigilance. Being well-informed about industry advancements and best practices is not only conducive to your professional growth but also empowers you to make informed decisions that positively influence the quality and efficiency of your SAS programming endeavors. Your commitment to staying informed will not only enhance your expertise but also contribute significantly to the success of clinical data management in your career as a SAS Programmer.

    • Professional organizations and associations are membership-based groups comprised of people working in a similar field. They can be helpful resources for students to learn more about a field, develop connections and discover related opportunities.

      Check out World-Wide Clinical Resource Information. Follow the resource links to learn what’s happening around the world on current news and updates about Clinical trials, Regulatory, CDM and Pharmacovigilance.


      Qtech-Sol has trained since 2000, many candidates with different education background and skills. Few of them are currently working as directors in top MNC companies.

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

      – Julee A – NYC

      This SAS 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 – Dallas, Texas

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

      – – Nisha D M K, Philadelphia, PA

      Getting Connected

      For additional information please call us on 732.770.4100 or ENQUIRE. One of our course specialists will contact you at earliest possible.

Overview of the Curriculum

Our program is intricately crafted by industry experts, with a primary focus on meeting the precise educational requirements and skill development needs of students and emerging professionals who aspire to excel as Clinical SAS Programmers. This comprehensive training program empowers participants with a profound understanding of the roles and responsibilities inherent to Clinical SAS Programming positions.

The curriculum we offer encompasses both theoretical and hands-on practical components, ensuring a holistic learning experience. Participants gain valuable insights into the intricacies of day-to-day tasks, and they are exposed to a range of industry-specific exercises designed to enhance their skills and knowledge. Our program is finely tuned to prepare individuals for the dynamic and demanding field of Clinical SAS Programming, providing them with the expertise required to excel in this vital role within the clinical data management landscape.

Learning SAS – Advanced – Lessons Offered
Our Clinical SAS Functional Programming program is meticulously designed to provide students and professionals with comprehensive knowledge and hands-on skills necessary to excel in the role of a Clinical SAS Programmer. The curriculum covers a wide array of topics, encompassing both foundational SAS concepts and advanced clinical trial-specific content.
SAS STAT Module:

1. Introduction to Statistics: An overview of basic statistical concepts and their relevance in data analysis.

2. Hypothesis Testing: Understanding hypothesis testing, p-values, and significance levels.

3. One-Sample T-tests: Learning how to perform and interpret one-sample t-tests for comparing sample means to a population mean.

4. Paired T-tests: Exploring paired t-tests for analyzing related samples or before-and-after scenarios.

5. Two-Sample T-tests: Mastering two-sample t-tests to compare the means of two independent groups.

6. Analysis of Variance (ONE-WAY): Introduction to one-way ANOVA for comparing means across multiple groups.

7. Analysis of Variance (TWO-WAY): Extending ANOVA to two-way ANOVA for analyzing two categorical variables.

8. Linear Regression: Understanding simple linear regression for modeling relationships between variables.

9. Multiple Regression: Exploring multiple regression to analyze complex relationships involving multiple predictors.
10. Regression Diagnostics: Learning how to assess and improve regression models using diagnostics.

11. Categorical Data Analysis: Introduction to techniques for analyzing categorical data, including chi-square tests and logistic regression.


12. Producing Bar and Pie Charts: Creating bar charts and pie charts for visualizing categorical data.

13. Enhancing the Output in the Graphs: Customizing and enhancing the appearance of graphs to improve clarity and interpretation.

14. Producing Plots: Learning how to create various types of plots, such as scatterplots, box plots, and histograms.

15. ODS (Output Delivery System): Understanding the Output Delivery System for controlling and managing output in SAS.

16. Creating 3rd and Geographic Reports: Exploring advanced graphical techniques, including 3D graphs and geographic maps, to represent data spatially.

These modules provide a comprehensive foundation in statistical analysis and data visualization using SAS, equipping students with the skills necessary for clinical data analysis and effective communication of findings in clinical research.

Getting in Touch:

For more information, please call us at +1 732.770.4100 / +1 732.207.4564 (WhatsApp) or email Our course specialists will reach out to you promptly to assist you in taking the next steps toward your career goals.