Python for Data Professionals in Healthcare

Overview

This comprehensive learning path is designed for data professionals in the healthcare industry who want to leverage the power of Python. Learn how to use Python for a wide range of data analysis scenarios in healthcare through practical use cases, and discover how AI is transforming the healthcare industry.Explore and analyze healthcare data with Python.Practice Python coding and create visualizations.Discover AI innovation and applications in healthcare.

Syllabus

• Introduction to Python for Healthcare
Overview of Python and its relevance in healthcare
Setting up a Python development environment
• Python Basics
Python syntax and basic programming concepts
Data types and structures
Control flow and functions
• Data Handling with Python
Working with libraries: Pandas, NumPy
Importing and exporting healthcare data
Data cleaning and preprocessing techniques
• Exploratory Data Analysis (EDA) in Healthcare
Descriptive statistics for healthcare data
Data visualization using Matplotlib and Seaborn
Identifying trends and patterns in healthcare data
• Healthcare Data Analysis Use Cases
Time series analysis for healthcare data
Patient data analysis and population health management
Predictive modeling for healthcare outcomes
• AI and Machine Learning in Healthcare
Introduction to machine learning concepts
Supervised vs. unsupervised learning
Implementing basic models using Scikit-learn
• Python for AI Applications in Healthcare
Natural language processing for clinical text analysis
Image processing for medical imaging data
Case studies of AI applications transforming healthcare
• Data Ethics and Privacy in Healthcare
Understanding HIPAA and healthcare data privacy
Ethical considerations in data analysis and AI
• Building Visualizations for Healthcare Insights
Advanced data visualization techniques
Interactive dashboards with Plotly and Bokeh
Communicating findings effectively to stakeholders
• Capstone Project
Define a healthcare data problem
Apply learned skills to analyze and visualize data
Present a comprehensive solution involving Python and AI techniques
• Course Summary and Future Directions
Recap of key concepts learned
Resources for further learning and professional growth in Python and AI in healthcare

---

Taught by

Wuraola Oyewusi and Matthew Lungren MD MPH

---

Subjects

Programming