The Python for Health Data Science (PY4HDS) course is designed to equip students with the necessary skills and knowledge to effectively analyze and interpret health-related data using the Python programming language. This course caters to individuals interested in leveraging Python's power and versatility to explore, visualize, and draw insights from health data.
Throughout the course, students will be introduced to fundamental programming concepts in Python and how they can be applied to real-world health data problems. They will learn how to manipulate and clean health data, perform statistical analysis, and create meaningful visualizations using popular Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn.
The course will consist of a combination of lectures, hands-on programming exercises, and real-world health data projects. By the end of the course, students will have developed a solid foundation in using Python for health data science, enabling them to tackle various data challenges in the healthcare domain.