Data Science for Healthcare

Coursera MOOC / Non-credit USD 49
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Data Science for Healthcare

About this course

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

Skills you'll gain

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