SAS Clinical Trials Learning Subscription
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| Digital courses Unlimited access to digital courses and books in this subscription. |
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| Prepare for certification Unlimited access to certification preparation materials. |
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| Shareable digital badges Earn a digital badge for each completed course. |
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| Hands-on learning and practice Get Full access to SAS software to practice as you learn. |
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About this Subscription
This subscription is specifically designed for professionals either already working or with a desire to work in clinical trials, clinical data management, and biostatistics. Through synthetic raw data, hands-on demonstrations, and practical exercises, you will learn how to effectively use SAS for managing and analyzing clinical trial data.
Learn how to:
- Program with SAS
- Use SAS macros
- Write SQL language in SAS
- Apply the Clinical Data Interchange Standards Consortium (CDISC)
- Build SDTM Domains with SAS Programming
- Build ADaM Datasets with SAS Programming
- Incorporate SAS Macros to Clinical Trials Programming
- Perform data exploration, descriptive statistics, ANOVA, and regression with model diagnostics
- Create and customize graphs using SAS procedures and ODS Graphics
- Generate validated Tables, Listings, and Figures (TLFs) and reports using PROC and ODS tools
Courses Included
Path to SDTM Programming
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COURSE
SAS® Programming 1: Essentials SHOW LESS ︿This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses. If you do not plan to write SAS programs and you prefer a point-and-click interface, you should attend the SAS® Enterprise Guide® 1: Querying and Reporting course.
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COURSE
SAS® Programming 2: Data Manipulation Techniques SHOW LESS ︿This course is for those who need to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the SAS Programming 1: Essentials course and is not recommended for beginning SAS software users.
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COURSE
SAS® SQL 1: Essentials SHOW LESS ︿ -
COURSE
SAS Programming for Clinical Trials 1: Study Data Tabulation Model SHOW LESS ︿This course provides a comprehensive introduction to clinical trials, emphasizing key concepts in clinical research, the role of CDISC in data standardization, and the development of SDTM (Study Data Tabulation Model) domains using SAS programming. Through synthetic raw data, hands-on demonstrations, and practical exercises, you'll learn how to effectively use SAS for managing and analyzing clinical trial data.
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Translate SDTM to ADaM
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COURSE
SAS® Macro Language 1: Essentials SHOW LESS ︿This course focuses on using the SAS macro facility to design, write, and debug macro programs, with an emphasis on understanding how programs that contain macro code are processed.
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COURSE
SAS Programming for Clinical Trials 2: Analysis Data Model SHOW LESS ︿This course will cover the fundamental concepts of ADaM (Analysis Data Model). It includes step-by-step methods to construct datasets with practical examples to gain hands-on expertise in creating ADaM datasets, including the mapping and creation of key datasets such as ADSL and ADAE. You'll also learn to create SAS Macros for repetitive tasks like calculating change from baseline, deriving date variables, creating study day variables, etc.
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Analyze, Visualize, & Report
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COURSE
Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression SHOW LESS ︿This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.
A more advanced treatment of ANOVA and regression occurs in the Statistics 2: ANOVA and Regression course. A more advanced treatment of logistic regression occurs in the Categorical Data Analysis Using Logistic Regression course and the Predictive Modeling Using Logistic Regression course.
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COURSE
SAS® Report Writing SHOW LESS ︿This course teaches you how to create tabular reports using the REPORT and TABULATE procedures. You also learn how to enhance your reports using the Output Delivery System (ODS).
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Data Visualization Using ODS Graphics SHOW LESS ︿This course teaches you how to write SAS programs that use ODS Graphics to produce high-quality data visualizations. ODS Graphics is part of Base SAS.
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Clinical Trials Programming Certification
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CERTIFICATION PREP
SAS Certified Professional: Clinical Trials Programming Using SAS 9.4 SHOW LESS ︿In preparation for this exam, you will demonstrate knowledge of the clinical trials process and data structures, apply statistical procedures to analyze clinical trials data, utilize macro programming for clinical trials data, and report clinical trials results. You will also learn to access, manage and transform clinical trials data.
This Certification requires a pre-requisite certification. You must hold a SAS Certified Specialist: Base Programming Using SAS 9.4 and/or the SAS Certified Professional: Advanced Programming Using SAS® 9.4.
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CERTIFICATION PREP
Practice Exam: SAS Certified Clinical Trials Programming Professional SHOW LESS ︿
SAS Products Covered
- Base SAS
- SAS/STAT
Digital Badges
| Earn a digital badge for each course that you complete and for each credential that you earn. Show off your achievements on your resume and in your social channels to highlight your skills and connect with potential employers. | ![]() |
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Certification Preparation
When you complete the courses in this subscription, you will have the demonstrated skills necessary to prepare you to earn the SAS Certified Professional: Clinical Trials Programming Using SAS 9.4 credential.

“I think the self-paced training was the BEST I’ve ever taken. The videos were short and segmented correctly to keep my attention and the activities and quizzes were just enough to help my confidence.”

