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

1

Predictive Modeling for Disease Risk and Patient Outcomes

2

Classification Techniques for Diagnostics

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

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

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

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

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

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

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

1

End-to-End Healthcare Case Studies: Hospital Readmission Analysis

2

Predicting Patient Length of Stay Disease Outbreak Prediction Models

1

Building a Predictive Model for Diabetes Risk

2

Segmenting Patients for Population Health Management

3

Creating an EHR Data Dashboard

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

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