📊 Data Analytics Project Template

This repository provides an industry-standard project structure for data analytics.
It is designed to help analysts start projects quickly, stay organized, and collaborate effectively.

Table of Contents

• Project Objective
• Project Files
• Tools and Technologies
• Setup & Installation
• Project Workflow
• Analysis Summary & Key Insights
• Project Structure
• Contributing
• License
• Author

Project Objective

Project Files

Tools and Technologies

Setup & Installation

Project Workflow

Analysis Summary & Key Insights

Project Structure

data_analytics_project_template/
│
├─ data/                    # Data storage
│  ├─ final/                    # Final datasets (ready for reporting/ML models)
│  ├─ interim/                  # Intermediate processed files
│  └─ raw/                      # Raw untouched datasets
│
├─ logs/                    # Logging outputs (script runs, ETL jobs, errors)
│
├─ notebooks/               # Jupyter notebooks (exploration, EDA, visualization)
│
├─ reports/                 # Deliverables for stakeholders
│  ├─ dashboards/           # Power BI/Tableau/Looker dashboards
│  ├─ figures/              # Saved plots, charts, images
│  └─ summary_reports/      # Business-style reports (PDF/Word/Markdown)
│
├─ scripts/                 # Reusable Python scripts
│
├─ sql_scripts/             # All reusable SQL queries
│
├─ .gitignore               # Ignore data, logs, venv, credentials
├─ LICENCE                  # Open-source license
├─ README.md                # Project overview + instructions
└─ requirements.txt         # Python dependencies

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

License

This project is licensed under the MIT License.

Author

Hi, I'm Hemant, a data enthusiast passionate about turning raw data into meaningful business insights.

Let’s connect:

• LinkedIn : LinkedIn Profile
• Email : [email protected]