Data Science - MDSCCS202

Welcome to the Data Science MDSCCS202! This repository provides a comprehensive resource for learning data science using Python. Whether you are a beginner or an experienced practitioner, this handbook covers essential topics and tools to equip you with the skills needed for data analysis and machine learning.

📖 Book and Online Resource

You can find the complete content of the book available online for free. Explore interactive Jupyter notebooks for each chapter, which include explanations and code examples to help you learn and apply data science techniques using Python.

🛠️ Tools and Libraries Covered

NumPy: Efficient numerical computations.
Pandas: Data manipulation and analysis.
Matplotlib: Data visualization.
Seaborn: Statistical data visualization.
Scikit-learn: Machine learning algorithms.

📝 How to Use This Resource

Clone the Repository:

git clone https://github.com/jakevdp/PythonDataScienceHandbook.git

Navigate to the Directory:
```
cd PythonDataScienceHandbook/notebooks
```
Open Jupyter Notebook:
```
jupyter notebook
```
Explore Notebooks: Open and interact with the Jupyter notebooks to learn data science concepts.

📂 Repository Structure

notebooks/: Contains the Jupyter notebooks for each chapter.
data/: Sample datasets used in the book.
figures/: Figures and images used in the book.

🗓️ Class and Lab Schedule

Class Sessions:
- Tuesday: 9:30 AM - 10:30 AM
- Thursday: 11:00 AM - 1:00 PM
Lab Sessions:
- Monday: 2:00 PM - 4:00 PM

🌐 Related Resources

Happy learning and coding! 🚀