Learn how to use Python data analysis for a range of practical use cases in the healthcare industry.
Overview
Syllabus
Introduction
- Python data analysis in healthcare
- What you should know
- How to use the exercise files
- Data analysis in healthcare
- Types of data in healthcare
- Sources of healthcare data
- Databases and storage for healthcare data
- Data analysis tools and technologies for healthcare data
- Healthcare data analytics use cases
- Explore patient visit demo dataset
- Save and load the patient visit demo dataset (different format)
- Demography analysis of the patient visit demo dataset: Part 1
- Demography analysis of the patient visit demo dataset: Part 2
- Trend analysis of patient visit demo dataset: Part 1
- Trend analysis of the patient visit demo dataset: Part 2
- Wait time analysis of the patient visit demo dataset: Part 1
- Wait time analysis of the patient visit demo dataset: Part 2
- Correlation analysis of the patient visit demo dataset
- Cost and insurance analysis of the patient visit demo dataset: Part 1
- Cost and insurance analysis of the patient visit demo dataset: Part 2
- Explore the pharmacy sales demo dataset
- Medication class analysis: Part 1
- Medication class analysis: Part 2
- Medication demand forecast using Prophet: Part 1
- Medication demand forecast using Prophet: Part 2
- Explore laboratory patient experience demo dataset with Plotly
- Sentiment analysis of patient experience reviews using TextBlob
- Explore the public health facilities geolocation demo dataset using GeoPandas: Part 1
- Explore the public health facilities geolocation demo dataset using GeoPandas: Part 2
- Interactive map for public health facilities geolocation demo dataset using folium: Part 1
- Interactive map for public health facilities geolocation demo dataset using folium: Part 2
- Interactive map for public health facilities geolocation demo dataset using folium: Part 3
- Practical data manipulation and wrangling using pandas: Part 1
- Practical data manipulation and wrangling using pandas: Part 2
- Using Python to analyze your healthcare data
Taught by
Wuraola Oyewusi