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Python for Healthcare Data Analytics and Predictive Modeling
https://WebToolTip.com
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 19m | Size: 769.72 MB
Use Python to load, clean, analyze, visualize healthcare data, and build basic predictive models.
What you'll learn
Use Python and Jupyter/Colab to load, clean, and explore real‑world healthcare datasets.
Perform descriptive statistics and create insightful visualizations to uncover trends in clinical and public health data.
Apply core analytics techniques (grouping, aggregation, time‑series analysis, correlation) with libraries like pandas, NumPy, and Matplotlib/Seaborn.
Build and evaluate basic predictive models (e.g., regression, classification) for common healthcare analytics tasks.
Work with common healthcare data formats (CSV, Excel, simple EHR‑style tables) while applying good practices for data quality and reproducibility.
Requirements
Basic computer literacy and ability to install software or use Google Colab.
No prior programming experience required; all necessary Python basics are taught in the course.
Interest in healthcare, public health, or clinical data and a willingness to work with real datasets. |
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