Python for Healthcare Analytics

Discover how Python can automate healthcare analytics, simplify data processing and unlock advanced analytical techniques. This practical course introduces healthcare professionals to Python programming using realistic healthcare datasets and focuses on solving common analytical problems encountered in clinical and public health settings.

No previous programming experience is required.

Learning Outcomes

By the end of this course you will be able to:

• Write basic Python programs.
• Import, clean and manipulate healthcare datasets.
• Perform exploratory data analysis.
• Create professional visualisations.
• Automate repetitive analytical tasks.
• Build simple predictive models.
• Work confidently using Jupyter Notebook.

Course Modules

• Module 1: Introduction to Python
  • Install Python, navigate Jupyter Notebook and learn programming fundamentals.
• Module 2: Python Basics
  • Variables, data types, operators, loops, functions and conditional statements.
• Module 3: Working with Healthcare Data
  • Import Excel and CSV files using pandas.
• Module 4: Data Cleaning
  • Handle missing values, duplicates and inconsistent healthcare data.
• Module 5: Exploratory Data Analysis
  • Summarise datasets and identify trends using descriptive statistics.
• Module 6: Data Visualisation
  • Create charts using Matplotlib and Seaborn.
• Module 7: Automating Healthcare Tasks
  • Automate repetitive reporting and data processing workflows.
• Module 8: Introduction to Machine Learning
  • Build simple predictive healthcare models using scikit-learn.
• Module 9: Healthcare Case Studies
  • Apply Python to infection surveillance, patient outcomes and service evaluation.
• Module 10: Final Project
  • Complete an end-to-end healthcare analytics project using Python.

Skills You’ll Gain

• Python
• pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook
• Data Cleaning
• Machine Learning Fundamentals
• Healthcare Analytics