The main objectives of this masterclass are to equip participants with a solid foundation in SAS Programming, data management and analysis, statistics, data mining, machine learning models, and the integration of open source. The program culminates with a SAS Programming certification exam to validate the acquired knowledge and skills.

In addition to theoretical topics, practical lessons will be included, featuring real-world use cases using pharmaceutical data. The program will cover the essential aspects of clinical trials, followed by an introduction to CDISC standards. CDISC is the prevailing regulatory data standard required for the inclusion of clinical trial data in applications seeking medical approvals for drugs, medical devices, and other related areas.

The creation and utilization of standardized clinical datasets to facilitate the analysis of clinical trial data will be a central focus of the use cases assigned to students. These exercises will provide hands-on experience in working with clinical standard datasets, further enhancing their practical skills in data analysis within the context of clinical trials.

Specifically, students will learn to create analysis datasets in CDISC ADaM format, which is the standard format for dataset analysis as per CDISC guidelines. They will gain proficiency in aggregating and transforming SDTM datasets, which represent the collected clinical trial data, following the predefined rules outlined in a sample Statistical Analysis Plan (SAP) provided as part of the training material. This practical exposure will empower students to effectively handle and manipulate clinical trial data in accordance with industry standards.