Welcome & Orientation

This document outlines the script for an introductory video to a course titled “Python for Clinical Trials: A Modern Alternative to SAS for Data Analysis & Reporting.” The course is designed for clinical research professionals, SAS programmers, biostatisticians, and data scientists who want to leverage Python’s open-source flexibility and powerful libraries for clinical data management, statistical analysis, and regulatory-compliant reporting. It highlights Python’s advantages over traditional tools like SAS, covering topics from data manipulation and visualization to CDISC standards, machine learning, and regulatory considerations. The course emphasizes hands-on learning with practical exercises and direct comparisons between SAS and Python functionalities to help participants transition their skills.

This document outlines the script for an introductory video to a course titled "Python for Clinical Trials: A Modern Alternative to SAS for Data Analysis & Reporting." The course is designed for clinical research professionals, SAS programmers, biostatisticians, and data scientists who want to leverage Python's open-source flexibility and powerful libraries for clinical data management, statistical analysis, and regulatory-compliant reporting. It highlights Python's advantages over traditional tools like SAS, covering topics from data manipulation and visualization to CDISC standards, machine learning, and regulatory considerations. The course emphasizes hands-on learning with practical exercises and direct comparisons between SAS and Python functionalities to help participants transition their skills.