📘 Final Project: Data Science Tools & Concepts

This repository contains the final project notebook for the "Introduction to Data Science(Data Orientation)" course. The project demonstrates core data science tools, languages, libraries, and basic programming skills using the JupyterLite environment.

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🎯 Project Overview

This interactive notebook showcases my understanding of fundamental data science methodologies through a combination of Markdown documentation and Python code cells. It includes:

• Data science languages and libraries
• Common tools used in the data science ecosystem
• Simple arithmetic operations and expressions in Python
• Markdown formatting for structured documentation

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🧠 Key Concepts Covered

📌 Data Science Languages

• Python
• R
• SQL
• Julia
• Scala

📌 Popular Libraries

Python

• Pandas
• NumPy
• Scikit-learn
• Matplotlib
• Seaborn
• TensorFlow
• Keras
• PyTorch

R

• dplyr
• ggplot2
• caret

Julia

• DataFrames.jl

📌 Tools & Environments

Category	Tool Name	Description
Development Env.	Jupyter Notebook	Interactive computing environment
Data Visualization	Tableau	Business intelligence and data visualization
Big Data Processing	Apache Spark	Distributed computing and big data analytics

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