https://github.com/nathanaelmutua/british-airways-data-science-challenge
My solutions for the Forage program: web scraping, data cleaning, analysis, and visualization to extract business insights. Demonstrates practical data science skills for real-world problem-solving.
https://github.com/nathanaelmutua/british-airways-data-science-challenge
british-airways dataanalysis internship-task jupyter-notebook python
Last synced: 4 months ago
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My solutions for the Forage program: web scraping, data cleaning, analysis, and visualization to extract business insights. Demonstrates practical data science skills for real-world problem-solving.
- Host: GitHub
- URL: https://github.com/nathanaelmutua/british-airways-data-science-challenge
- Owner: NathanaelMutua
- Created: 2025-02-07T04:48:33.000Z (4 months ago)
- Default Branch: master
- Last Pushed: 2025-02-16T14:02:26.000Z (4 months ago)
- Last Synced: 2025-02-16T15:19:07.917Z (4 months ago)
- Topics: british-airways, dataanalysis, internship-task, jupyter-notebook, python
- Language: Jupyter Notebook
- Homepage:
- Size: 107 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# British Airways Data Science Challenge
## Description
My solutions for the Forage program: web scraping, data cleaning, analysis, and visualization to extract business insights. Demonstrates practical data science skills for real-world problem-solving.
## Task 1
### Scrape data from the web
The first thing to do will be to scrape review data from the site [Skytrax](https://www.airlinequality.com/airline-reviews/british-airways/)
I wil use Jupyter Notebook to perform data gathering, cleaning and analysis.