SAS Basic Programming | SAS Data Analyst
Data Management
10 Weeks / 265 Hours


Introduction – Learning SAS – Basics

Welcome to Qtech-Sol, where our commitment to specialized education and training extends into the realm of Clinical Science, recognizing the pivotal role Clinical SAS Programmers play in the world of clinical research. Our comprehensive program is meticulously tailored to meet the specific needs of individuals aspiring to excel in this essential role.

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 mastery of SAS software and data analysis in the modules of Base SAS, SAS SQL, and SAS Macro, unlocking endless possibilities in the field of clinical research.

In today’s rapidly evolving healthcare landscape, Clinical SAS Programmers hold a critical position in ensuring the precision, integrity, and regulatory compliance of clinical trial data. As clinical research protocols continue to advance in complexity, and the demand for robust data management grows, there is an ever-increasing need for proficient professionals who can expertly navigate data from its inception to its final analysis.

Our curriculum places a strong emphasis on the fundamental responsibilities that Clinical SAS Programmers bear. This includes the meticulous collection, validation, cleaning, and reporting of clinical data. We recognize the pivotal role that Clinical SAS Programmers play in upholding 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 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. Particularly, we emphasize the utilization of SAS (Statistical Analysis System) software for clinical data analysis.

By enrolling in our program, students gain a competitive edge in securing highly sought-after 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 – Basics
(Role based Lessons – Case Scenarios, Job Tasks with Solutions)
Course Code :  BSAS (Base, Macros and Sql Modules)
Experience Level :  Entry Level
Qualification :  Bachelors
Student Category :  Recently Graduated / Career Changer
Course Material : This course contains and delivers 32 Lessons.

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

BSAS-SIP Delivery – 8 Weeks / 60 Days (Self-Paced)


Below are details about the SAS modules you can expect to learn in our program, which encompass Base SAS, SAS Macros, and SAS SQL:

Base SAS Module:

  1. Introduction to SAS: Get started with SAS by learning its interface, data step processing, and various components.
  2. Data Manipulation: Explore data manipulation techniques, including data sorting, merging, and transposing, to prepare data for analysis.
  3. Data Exploration and Reporting: Learn how to generate summary statistics, create custom reports, and visualize data using SAS.
  4. SAS Functions: Dive into SAS functions for mathematical calculations, data manipulation, and text processing.
  5. Data Management Techniques: Discover advanced data management techniques such as merging, appending, and subsetting datasets.
  6. Debugging and Error Handling: Master techniques for identifying and resolving errors in your SAS programs.
  7. SAS Procedures: Gain proficiency in using SAS procedures for statistical analysis, data summarization, and reporting

SAS Macros Module:

  1. Introduction to SAS Macros: Learn the fundamentals of SAS Macros, including macro variables, macro programs, and macro functions.
  2. Macro Programming Techniques: Explore advanced macro programming techniques, including parameterized macros, conditional logic, and macro debugging.
  3. Automating Tasks: Discover how to automate repetitive tasks by creating and using SAS Macros effectively.
  4. Macro Storage and Retrieval: Understand how to store and retrieve macros for reuse in different programs and projects

SAS SQL Module:

  1. Introduction to SQL: Get introduced to SQL (Structured Query Language) and learn how it’s used in SAS for data manipulation and retrieval.
  2. Data Querying: Learn how to write SQL queries to extract specific data from SAS datasets, including filtering, sorting, and joining tables.
  3. Aggregating Data: Explore SQL functions for summarizing data, including calculations of counts, averages, and other aggregate statistics.
  4. Subqueries and Joins: Master advanced SQL techniques such as subqueries, joins, and creating views to streamline data analysis.
  5. Data Modification: Understand how to modify data using SQL, including inserting, updating, and deleting records.
  6. Performance Tuning: Learn best practices for optimizing SQL queries for efficiency and speed.

These modules provide a comprehensive foundation in SAS programming, including data manipulation, reporting, automation through macros, and advanced data querying using SQL.

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 completing the SAS modules offered at Qtech-Sol, students will acquire a comprehensive set of skills and knowledge that will significantly enhance their capabilities in the field of clinical data management and analysis.

In the Base SAS Module, students will gain a strong foundation in SAS programming. They will learn to navigate SAS’s interface and understand the data step processing, which is essential for data manipulation. Students will become proficient in data manipulation techniques, such as sorting, merging, and transposing datasets, which are crucial for preparing data for analysis. Additionally, they will master the art of data exploration, report generation, and data visualization using SAS. Understanding SAS functions will empower students to perform mathematical calculations, manipulate data efficiently, and process text effectively. The module also covers advanced data management techniques like merging, appending, and subsetting datasets. Students will be equipped with debugging and error-handling skills to identify and resolve issues in their SAS programs. Finally, the module will enable students to utilize SAS procedures for statistical analysis, data summarization, and reporting, making them proficient in conducting data-driven analyses.

In the SAS Macros Module, students will delve into the world of SAS macros—a critical skill for automating repetitive tasks. Starting with an introduction to SAS macros, they will grasp the fundamentals, including macro variables, programs, and functions. As they progress, students will explore advanced macro programming techniques, allowing them to create parameterized macros, implement conditional logic, and effectively debug macros. By the end of this module, students will be capable of automating tasks efficiently, saving time and effort. They will also learn how to store and retrieve macros, ensuring their reusability across different programs and projects.

The SAS SQL Module equips students with the knowledge and skills needed for advanced data querying and manipulation. Beginning with an introduction to SQL, students will understand how this powerful language is integrated into SAS for data retrieval and manipulation. They will learn to write SQL queries to extract specific data from SAS datasets, including techniques for filtering, sorting, and joining tables. The module covers SQL functions for summarizing data, providing students with the ability to calculate counts, averages, and other essential aggregate statistics. As they progress, students will master advanced SQL techniques such as subqueries, joins, and creating views, streamlining data analysis processes. Understanding data modification techniques, including inserting, updating, and deleting records, ensures students are well-rounded in SQL capabilities. Lastly, students will learn performance tuning best practices, allowing them to optimize SQL queries for efficiency and speed.

By completing these SAS modules, students will emerge with a strong command of SAS software, ready to tackle the intricacies of clinical data management and analysis with confidence.

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.

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.

Learnings SAS – Basics

1. About SAS Institute: Gain an understanding of SAS Institute, its history, and its significance in the field of

2. Introduction to SAS: Familiarize yourself with SAS, exploring its core functionalities and applications.

3. Components of SAS Program and Code Writing: Learn the key components of SAS programs and develop the skills to
write SAS code effectively.

4. Running SAS Programs: Discover how to execute SAS programs and process data.

5. Mastering Fundamental Concepts: Dive deep into fundamental SAS concepts, building a strong foundation for data

6. Diagnosis and Correcting Syntax Errors: Develop the ability to identify and rectify syntax errors in SAS code.

7. SAS Options: Explore various SAS options for customizing program behavior.

8. Types of Input Statements: Delve into the world of input statements, understanding how to read and manipulate data.

9. SAS Format and Informatics: Learn about SAS formats and informatics to enhance data presentation and

10. Using Advanced Input Techniques: Master advanced techniques for data input and manipulation.

11. SAS Date and Time: Understand SAS date and time functions for managing temporal data.

12. Subsetting, Combining, and Sorting Datasets: Learn how to subset, combine, and sort datasets effectively.

13. Merging and Updating Data: Explore techniques for merging and updating data in SAS.

14. Performing Conditional Processing: Gain proficiency in performing conditional processing to manage data.

15. Performing Iterative Processing – Looping: Understand iterative processing and looping mechanisms in SAS.

16. Creating Customized List Reports: Learn how to create customized list reports to present data effectively.

17. Arrays: Explore the use of arrays in SAS for efficient data manipulation.

18. Creating Enhancing List and Summary Reports: Develop skills to create and enhance list and summary reports.

19. Creating Proc Tabulate: Discover the power of PROC TABULATE for advanced data summarization.


20. Fundamentals of Macros: Build a foundation in SAS macros, understanding their purpose and functionality.

21. Macro Application: Explore practical applications of macros in data processing and automation.

22. Macros Program Structure: Learn the structure of macro programs and how to create them.

23. Macros Statements: Understand macro statements and their role in programming.

24. Macro Variables: Dive into macro variables, exploring their creation and usage.

25. Macro Functions: Explore macro functions for advanced macro programming.

26. Writing Macro Programs: Develop the skills to write effective macro programs for automating tasks.


27. Introduction to the SQL Procedure: Get introduced to the SQL Procedure and its applications in data retrieval.

28. Retrieving Data from a Single Table: Learn how to retrieve data from a single table using SQL.

29. Retrieving Data from Multiple Tables: Explore techniques for retrieving data from multiple tables through SQL

30. Creating and Updating Tables and Views: Understand how to create, update, and manage tables and views using SQL.

31. Programming with the SQL Procedure: Apply SQL programming techniques to solve practical problems.

32. Practical Problem-Solving with PROC SQL: Engage in hands-on problem-solving exercises using PROC SQL for real-world applications

This comprehensive curriculum provides a thorough understanding of SAS programming, including data manipulation, automation with macros, and data querying with SQL, empowering students with valuable skills for data analysis and management.

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.