1. To understand the basics of Python coding language, its applications in machine learning and how it is utilized in healthcare research. 2. To learn the fundamental concepts of artificial intelligence and how it can apply to medical data analysis. 3. To gain knowledge of machine-learning techniques such as linear and logistic regression and their application in analyzing medical data. 4. To develop hands-on experience working with real-world medical datasets, specifically data coming from drug trials, and learn how to process and analyze this data using Python. 5. To comprehend the process of implementing data science techniques in a practical setting, and develop the ability to translate this knowledge into independent research or professional healthcare settings.