Aster Health Academy
Post Graduate Diploma in Data Science & Analytics for Healthcare Professionals
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Course sections

Section 1
Fundamentals of Data Science
1
Data Collection and Sources in Healthcare
2
Data Types and Structures: Structured vs. Unstructured Data
3
Introduction to Statistics for Data Science
4
Basics of Data Cleaning, Transformation, and Preprocessing
Section 2
Core Data Science Applications in Healthcare
1
Predictive Modeling for Disease Risk and Patient Outcomes
2
Classification Techniques for Diagnostics
Section 3
Data Manipulation and Visualization with Python
1
Introduction to Python Libraries: NumPy, Pandas, Matplotlib, and Seaborn
2
Working with Pandas for Data Cleaning and Analysis
3
Visualizing Data Trends with Matplotlib and Seaborn
4
DIY Project: Analyzing Patient Data with Python
Section 4
Advanced Python for Healthcare Applications
1
Functions and Modules in Python
2
File Handling for Large Datasets
3
Introduction to Working with APIs for Healthcare Data Retrieval
4
Case Study: Fetchine and Analyzing Healthcare Data from an API
Section 5
Core Concepts of Data Science
1
Data Science Workflow: From Collection to Insights
2
Exploratory Data Analysis (EDA) Identifying Trends and Patterns in Healthcare Data Tools for Summarizing Data
3
DIY Project: Conducting EDA on Hospital Readmissions Data
Section 6
Predictive Analytics in Healthcare
1
Overview of Predictive Analytics
2
Regression Models: Linear Regression for Outcome Prediction
3
Multiple Regression Analysis
4
Case Study Predieting asetypeddieting Patient Recovery Time Using Regression Models
Section 7
Digital Transformation in Healthcare
1
Role of Data Science in Digitizing Healthcare Systems
2
Telemedicine and Remote Monitoring Applications
3
Health Informatics and Decision Support Systems
4
DIY Project: Designing a Simple Healthcare Operations Dashboard
Section 8
Introduction to Healthcare Data Ethics
1
Privacy and Security Challenges in Healthcare Data
2
Ethical Considerations in Al and Predictive Models
3
Regulations and Standards (HIPAA, GDPR, FDA Guidelines)
4
Case Study: Ethical Challenges in Al-Based Diagnostics
Section 9
Introduction to Data Visualization Techniques
1
Storytelling with Data in Healthcare
2
Advanced Chart Types: Heatmaps, Treemaps, and Boxplots
3
Best Practices for Creating Eective Visualizations
4
DIY Project: Building an Interactive Patient Data Dashboard
Section 10
Quantum Computing in Healthcare
1
Basics of Quantum Computing: Simplified Introduction
2
Applications in Drug Discovery and Genomic Analysis
3
Challenges and Future Potential in Healthcare
4
Discussion: How Quantum Could Revolutionize Medical Research
Section 11
Practical Applications of Data Science in Healthcare
1
End-to-End Healthcare Case Studies: Hospital Readmission Analysis
2
Predicting Patient Length of Stay Disease Outbreak Prediction Models
Section 12
DIY Projects for Hands-On Learning
1
Building a Predictive Model for Diabetes Risk
2
Segmenting Patients for Population Health Management
3
Creating an EHR Data Dashboard
Section 13
Capstone Project
1
Goal: Develop a Data Science Solution for a Real Healthcare Challenge
2
Examples: Chronic Disease Management Dashboard Predictive Analytics for Surgery Outcomes
3
Peer Feedback and Evaluation
Section 14
Future Trends and Career Opportunities
1
Emerging Trends: Al, Quantum Computing, and Advanced Analytics
2
Career Pathways in Data Science for Healthcare Professionals
3
Resources for Continuous Learning and Networking

Fundamentals of Data Science

Introduction to Statistics for Data Science

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Fundamentals of Data Science Data Types and Structures: Structured vs. Unstructured Data
Complete
Fundamentals of Data Science Basics of Data Cleaning, Transformation, and Preprocessing
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