Data Analytics Project Template

Abstract

1. Introduction

A project template to quick start data analytics and machine learning task.

It is convenient to adopt a good project structure having support of git when starting with a project for data analysis and machine learning. This project is made for Visual Studio Code (vscode) but can be used in any IDE.

2. Objective

A python project starter template for data-analytics and data-science.

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

3. Key Features / Modules

• Jupyter Notebook
• matplotlib
• data directory git ignored
• module finder for code sharing

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/janishar/data-analytics-project-template.git
cd data-analytics-project-template

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 janishar and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.