Data Science Ecosystem

Project Overview

This project explores the foundational concepts and ecosystem of data science. It introduces basic arithmetic operations and discusses various languages, libraries, and environments commonly used in the data science field. The project is structured to help beginners understand the core components of the data science ecosystem.

Repository Structure

The repository contains the following files:

• DataScienceEcosystem.ipynb: Jupyter Notebook that introduces the data science ecosystem, basic arithmetic operations, and other relevant tools and languages.

Key Features

• Introduction to Data Science Languages and Tools: Overview of Python, R, SQL, and popular tools like Jupyter, Git, and more.
• Basic Arithmetic Operations: Demonstrates simple mathematical operations like addition and multiplication to showcase programming basics.
• Data Science Libraries: Introduction to key data science libraries such as NumPy, Pandas, Matplotlib, and their importance in the data science workflow.

Prerequisites

• Python 3.x
• Jupyter Notebook
• Libraries such as NumPy, Pandas, and Matplotlib installed

To install the required libraries, run:

pip install numpy pandas matplotlib