30 Days of Data Analysis Projects 🚀

About This Repository

Welcome to my 30 Days of Data Analysis Projects! This repository contains daily hands-on projects that help me master essential data analysis skills using Python, pandas, NumPy, and statistics. Each project focuses on a specific concept, allowing me to build a strong foundation in data manipulation, transformation, visualization, and analysis.

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🎯 Goals

Through this 30-day challenge, I aim to:
✅ Gain deep hands-on experience in data analysis.
✅ Build a strong foundation in pandas, NumPy, and statistics.
✅ Learn efficient data manipulation techniques for real-world datasets.
✅ Improve my ability to extract insights from raw data.
✅ Develop a portfolio of structured projects for job applications.
✅ Master problem-solving and debugging in Python.

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📌 Project Roadmap

Week 1: Core Data Handling & Exploration

Day 1: Data Cleaning & Preprocessing
Day 2: Data Filtering & Selection
Day 3: Data Transformation
Day 4: Data Aggregation

🔜 Day 5: Merging & Joining Data (In Progress)

🔜 Day 6: Data Reshaping

🔜 Day 7: Weekly Project Challenge

Week 2: Statistics & Probability in Data Analysis

🔜 Day 8: Summary Statistics
🔜 Day 9: Probability & Random Sampling
🔜 Day 10: Working with Distributions
🔜 Day 11: Correlation & Covariance
🔜 Day 12: Experimental Design
🔜 Day 13: Hypothesis Testing
🔜 Day 14: Weekly Project Challenge

Week 3: Data Visualization & Storytelling

🔜 Day 15: Matplotlib Basics
🔜 Day 16: Seaborn Basics
🔜 Day 17: Advanced Data Visualization
🔜 Day 18: Interactive Dashboards
🔜 Day 19: Combining Data & Visualization
🔜 Day 20: Weekly Project Challenge

Week 4: Real-World Case Studies & Capstone Projects

🔜 Day 21: Retail Data Analysis
🔜 Day 22: Financial Data Analysis
🔜 Day 23: Sports Analytics
🔜 Day 24: Social Media Analytics
🔜 Day 25: Healthcare Analytics
🔜 Day 26: Capstone Project
🔜 Day 27-30: Review & Mastery

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📂 Project Structure

Each project folder contains:
📁 dataset/ – The dataset used for analysis
📁 notebooks/ – Jupyter Notebook with the project code
📁 scripts/ – Python scripts for data processing
📄 README.md – Project description, tasks, and insights

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⚡ Tools & Libraries Used

• Python 🐍
• Pandas 🏗
• NumPy 🔢
• Matplotlib 📊
• Seaborn 🎨
• Statistics & Probability 🏛

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📜 License

This repository is for learning purposes. Feel free to use the code but give proper credit.

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📬 Connect With Me

📌 GitHub: [Your GitHub Profile]
📌 LinkedIn: [Your LinkedIn Profile]