SAS

SAS Academy for Clinical Programming

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SAS® Academy for Clinical Programming

Calling all statistics, IT and Pharma Graduates for a rewarding career in Lifesciences industry.

About:

The combination of coursework and hands-on learning helps you build a foundation of SAS programming, Clinical research theory and Clinical data analysis skills.

An exhaustive, application based and instructor-led training program directly from SAS developed by Industry experts covering SAS Programming, Clinical Trials, CDISC standards, STDM, ADaM programming and much more.

This training is designed to provide real-world experience through ample of exercises and case-studies on clinical research domain.

Digital Badging

A globally recognized digital badge validates your skills and communicates your specialized training to peers and potential employers.
SAS Learn Badge for Health and Life Science
LEARN

Awarded to those who take and pass a training course from SAS, in most formats.
SAS Certified Badge
CERTIFIED

Awarded to those who show proficiency by passing one or more SAS certification exams.

Get in touch

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Features & benefits

Comprehensive Training

Inclusive of SAS Programming, Clinical Research theory and more.

Hands-on training

Get access to latest SAS software for practical learning experience.

Application based training

Learn how to apply SAS on
Clinical domain.

Globally recognized credentials

Get certified as a Base SAS Specialist & Clinical Trials Programming Professional.

Highly experienced trainers

Training is executed by skilled
SAS trainers.

Instructor-led live training

Inclusive learning methods encourage trainee’s active participation.

Did you know?

Red brain in the bulb surrounded by different data

SAS is the de facto standard for clinical trials, data analysis and reporting for new product submissions to regulatory authorities, such as the US FDA. SAS is widely recognized as the gold standard for determining safety and efficacy for clinical trials. SAS is also the primary mechanism for preparing analysis-ready data for traditional clinical research safety and efficacy analysis activities.