This course builds on the foundational programming skills acquired in the introductory course ("Coding in the R Language"; BTC1855H), focusing on advanced techniques for data handling and analysis in the context of digital health using Python-based programming tools. Students will learn how to create interactive dashboards, handle missing data, perform advanced data censoring techniques, and work with real-world biometric and clinical datasets. There will be an emphasis on making sure the data sets used are "dirty" ( i.e., contain errors, inaccuracies, or inconsistencies that can negatively affect the quality and reliability of analysis, processing, or decision-making) to reflect common clinical trial situations. Applications will focus on healthcare related information disseminated from a website related to digital health, product information in healthcare, website design and data collection, regulatory compliance, and social listening in health as a data gathering tool from web traffic.