Fundamentals of Data Science in Precision Medicine

Welcome to the repository for Fundamentals of Data Science in Precision Medicine.

Overview

This project explores the core concepts, tools, and applications of data science within the field of precision medicine. The course bridges the gap between biomedical data science and scalable computing, with a focus on enabling precision medicine using modern cloud infrastructure. It aims to provide foundational knowledge and practical resources for researchers, clinicians, and students interested in leveraging data-driven approaches to improve healthcare outcomes.

Contents

• Notebooks: Interactive Jupyter notebooks demonstrating key data science techniques.
• Datasets: Example datasets relevant to precision medicine.
• Resources: Curated links to articles, tutorials, and further reading.
• Scripts: Utility scripts for data preprocessing, analysis, and visualization.

Learning Objectives

• Understand the principles of data science and its applications in precision medicine.
• Understand how cloud platforms support biomedical data analysis
• Deploy and scale pipelines for genomic and clinical data
• Apply data science techniques to precision medicine problems
• Collaborate on reproducible, cloud-based healthcare research

Getting Started

1. Clone this repository:

   git clone https://github.com/Mark-Finley/Fundamentals_of_Data_Science_in_Precision_Medicine_and_cc.git

2. Install required dependencies:

   pip install -r requirements.txt

3. Explore the notebooks and scripts.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for improvements or new content.

Contact

For questions or suggestions, please contact oseimarkfinley@gmail.com.