Hr Analytics

Abstract

1. Introduction

El objetivo de liberar esta primera versión es recibir el feedback de la comunidad e ir perfeccionando el tutorial incoporando las sugerencias y correcciones. Para ello pueden comentar directamente acá como un issues cuando sea una corrección o como un comentario si lo que desean hacer es solo comentar algo.

Proyecto de análisis de datos en recursos humanos con fines pedagógicos para personas hispano parlantes

2. Objective

Proyecto de análisis de datos en recursos humanos con fines pedagógicos para personas hispano parlantes

This project demonstrates how Jupyter Notebook can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later with Jupyter Notebook / JupyterLab (or Google Colab)
• pip for dependencies
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/iair/hrAnalytics.git
cd hrAnalytics

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by iair and published on GitHub under the GNU General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.