Data Science for Healthcare is an intermediate-level specialization focused on healthcare data science, machine learning, clinical analytics, and AI. Designed for learners with a basic knowledge of Python, statistics, healthcare terminology, and machine learning, this three-course program builds skills in preparing clinical data, developing predictive and machine learning models, and applying advanced techniques such as medical imaging and clinical natural language processing, with a strong emphasis on interpretability, privacy, and responsible AI. Through hands-on labs and projects grounded in real healthcare use cases, learners develop the ability to design and evaluate data-driven solutions for modern healthcare analytics.
What you'll learn
preparing clinical data
developing predictive models
applying machine learning techniques
using medical imaging
implementing natural language processing in clinical settings
Course objectives
to build skills in data preparation for healthcare analytics
to teach the development of machine learning models tailored for healthcare applications
to explore interpretability and ethical considerations in AI for healthcare