Youtube Analytics

Abstract

1. Introduction

The Dataset consists of the trending video statistics from the country of Great Britain - this was chosen to avoid having characters of other languages apart from English.

The above bullet points will be replaced with a much more detailed description once the analysis part begins.

This repository hosts the data and the analytics for the Trending Youtube Video Statistics from Kaggle. This constitutes the project component for the course titled Introduction to Data Science [UE18CS203] at PES University.

2. Objective

This repository contains the work for the Data Science course (UE18CS203)

This project demonstrates how Jupyter Notebook can be applied to a real-world Digital Marketing & SEO 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/Kriyszig/YoutubeAnalytics.git
cd YoutubeAnalytics

Full setup instructions are in the project README.

7. Future Enhancements

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

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by Kriyszig and published on GitHub under the The Unlicense. Please follow the license terms and credit the original author when you use or modify this code.