SAS® Certified Clinical Trials Programming Professional
Get the full academy experience, from fundamental programming skills to practical clinical trials knowledge.
Course Curriculum
17 Courses
+
2 Practice Exams
+
2 Global Certification Exams
This course combines the basic programming skills of the SAS® Clinical Programming Fundamentals track with the hands-on practice of the Applied Clinical Data Analysis and Reporting track to deliver a comprehensive learning experience. The result? You're ready to earn certifications and stand out in your industry.
Course Outline
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Course Topics
Review which topics will be covered in this curriculum.
- Writing SAS programs.
- Manipulating and summarizing data using SAS procedures.
- Creating SAS programs that are reusable and dynamic using macros.
- Processing SAS data using Structured Query Language (SQL).
- Report writing essentials.
- Creating high-quality presentation graphics.
- Introduction to clinical trials and CRO industry.
- Hands-on training on study documents.
- Hands-on training on CDISC standards.
- Deep dive into AdaM.
- SDTM programming.
- AdaM programming.
- Hands-on training creating clinical trial reports.
- Hands-on training creating clinical trial graphs.
- Hands-on training on Define.xml and Reviewer’s Guide.
- Introduction to ANOVA, Regression and Logistic Regression (free e-learning course).
- Evaluation through assessments.
Live Web Experience
Enjoy a classroom experience from your desktop
- Instructor-led training.
- Access to SAS software for practice.
- SAS training without travel.
- Ask questions and get answers in real-time SAS instructors.
- Dedicated coach to guide you.
- Practical study.
- Project work.
- Certification exam vouchers.
Prerequisites
You'll need the following skills and experience before registering for this track.
No prior SAS experience is needed. However, we recommend that you have relevant experience in the pharmaceutical or life science industry – or be a graduate or postgraduate in life sciences, pharmacy, statistics, medical, bio or computer programming.
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