{"repo":"0PeterAdel/Data-Dyanamos","free":true,"listed":false,"github":"https://github.com/0PeterAdel/Data-Dyanamos","clone":"git clone https://github.com/0PeterAdel/Data-Dyanamos.git","description":"Igniting Innovation Through the Power of Data","language":"Jupyter Notebook","stars":19,"topics":["anal","analysis","humanresources","matplotlib","pandas","powerbi","python","skit-learn","sql","tableau"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"Human Resources Data Dynamos Project Table of Contents 1. Overview 2. Key Features 3. Repository Structure 4. Getting Started 5. Phase Details 6. Project Workflow 7. Contributing 8. License --- Overview The Human Resources Data Dynamos project delivers an end-to-end analytics pipeline for HR data, transforming raw employee information into data-driven insights useful for decision-makers. This repository includes everything from SQL scripts and Python notebooks to BI dashboards and strategic reports. Key Features Modular Phases : Organized into 13 clear, sequential phases covering data collection through reporting. Reproducibility : Environment defined in requirements.txt , with setup scripts and instructions. Multi-Tool Stack : Utilizes SQL, Python (pandas, scikit-learn), Jupyter notebooks, Tableau, Power BI, and standard office docs. Deliverables : Cleaned datasets, visualizations, predictive models, and formal presentations. Repository Structure Getting Started Follow these steps to replicate our environment and explore the analysis: 1. Clone the repo 2. Create a virtual environment Windows: Linux/macOS: 3. Install dependencies 4. Set up database (optional) Load Project-Operations/01.Data-Collection/ .csv into your SQL engine. Execute SQL scripts in 03.Data-Cleaning to create cleaned tables. 5. Run Notebooks Launch Jupyter: Navigate to Project-Operations/06.Data-Analysis and open analysis-part1.ipynb , analysis-part2.ipynb . 6. View Dashboards Tableau: Open Project-Operatio","default_branch":null,"files":null,"tree":[],"storefront":"/r/0PeterAdel","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/0PeterAdel/Data-Dyanamos/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}