https://github.com/toucantoco/data-hiring-case_study-data
https://github.com/toucantoco/data-hiring-case_study-data
Last synced: about 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/toucantoco/data-hiring-case_study-data
- Owner: ToucanToco
- Created: 2021-04-15T09:45:38.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-08-01T21:49:55.000Z (10 months ago)
- Last Synced: 2025-03-25T21:14:44.927Z (2 months ago)
- Language: Jupyter Notebook
- Size: 12.7 MB
- Stars: 1
- Watchers: 4
- Forks: 4
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Toucan Toco - Case Study - Data Analyst
This repository contains all you need to work on the technical test when applying for data analysts positions.
The technical tests consists of following steps below
## 1. Setup your working environment
After cloning or downloading this repository and based on the job offer you applied to, you will need to use one of the following files :
- `Script - Data Analyst.ipynb`
- `Script - Product Data Analyst.ipynb`
- `Script - Data Engineer-Analyst.ipynb`
The recommended librairies you will need to install in your python environment are in the `requirements.txt` file.
If you are not familiar with python environment and jupyter notebooks, You can use directly the Binder environment [](https://mybinder.org/v2/gh/ToucanToco/data-hiring-case_study-data/HEAD)
> âšī¸ Binder environment take a long time to setup, don't worry and wait a little bit, it needs to install all required ressources and python dependencies.
> â ī¸ Binder is also a disposable environment. That's mean if you close your tab and the window, you will lost all your changes.
But If you want still to work locally on your computer, I recommend you to use ressources below after cloning repository.
### Ressources đ
- [Working with Jupyter Notebooks in Visual Studio Code](https://code.visualstudio.com/docs/datascience/jupyter-notebooks)
- [Using Python Environments in Visual Studio Code](https://code.visualstudio.com/docs/python/environments)
## 2. When you are done and you want to submit your work
When you are done you can export in `.ipynb` or `.pdf` version and send the notebook you edited by email to the reviewer ([email protected])
You can also create and submit a pull request with the notebook you edited.
Don't hesitate to also use this email if you have any questions.