ibm-data-science-labs

Hands-on notebooks, scripts, and resources from IBM's Data Science course modules.

IBM Data Science Course Repository

This repository contains hands-on labs, exercises, and notes from the IBM Data Science course. It is intended for practice, reference, and version control of course-related materials.

Contents

• Jupyter Notebooks (Python, R)
• Git and GitHub practice files
• Data science mini-projects
• Markdown notes and summaries
• Version control experiments

Technologies Used

• Python & R
• Jupyter Notebook / JupyterLab
• Git & GitHub
• IBM Skills Network Labs

Getting Started

To run the notebooks:

1. Clone this repository
2. Open in JupyterLab or Google Colab
3. Run cells and explore outputs

Purpose

This repository is for educational use only, aligned with IBM’s Data Science curriculum. It supports personal learning, version control practice, and collaborative exploration.

Author

Dileep
Lead curriculum designer and instructor
Tuxtla Gutiérrez, Chiapas, Mexico

📄 License

This repository is for academic use. No commercial use or redistribution without permission.