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https://github.com/alexandregazagnes/unilasalle-public-resources
UniLaSalle-Public-Ressources : This public repository contains the notebooks and the data used for both : 2nd Year - Practical Statistical Tests 4th Year - Data Analysis with Python
https://github.com/alexandregazagnes/unilasalle-public-resources
data data-analysis data-analytics data-cleaning data-storytelling education educational exploratory-data-analysis python python3 r r-programming rstudio statistics visualization
Last synced: 9 days ago
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UniLaSalle-Public-Ressources : This public repository contains the notebooks and the data used for both : 2nd Year - Practical Statistical Tests 4th Year - Data Analysis with Python
- Host: GitHub
- URL: https://github.com/alexandregazagnes/unilasalle-public-resources
- Owner: AlexandreGazagnes
- License: mit
- Created: 2024-02-27T10:00:56.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-04-14T22:47:28.000Z (10 months ago)
- Last Synced: 2024-10-30T04:55:15.480Z (4 months ago)
- Topics: data, data-analysis, data-analytics, data-cleaning, data-storytelling, education, educational, exploratory-data-analysis, python, python3, r, r-programming, rstudio, statistics, visualization
- Language: HTML
- Homepage: https://github.com/AlexandreGazagnes/Unilasalle-Public-Ressources
- Size: 17.4 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
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# UniLaSalle Public Ressources
## About
Session
Author
2023/2024
Alexandre Gazagnes
This public repository contains the notebooks and the data used for both :
- **2nd** Year - Practical Statistical Tests
- **4th** Year - Data Analysis with PythonThe repository is organized in two main directories: `2a-statistical-tests` and `4a-data-analysis`.
Each of these directories is organized in subdirectories, one for each session of the course.
⚠️ `tests`, `.github`, `docs` and `.utils` directories contains technicals tools not usefull for the course.## About python, jupyter notebooks and the requirements
You have 3 options:
- Locally:- **Install Anaconda https://www.anaconda.com/ or Jupyter https://jupyter.org/install on your machine**
- Use Anaconda or Jupyter installed on the UniLaSalle PC (**Warning ⚠️**: some packages may be missing)
- Online:
- **Use Google Colab https://colab.research.google.com/** (you have to be connected to your google account)
- Use Jupyter online https://jupyter.org/try-jupyter (**Warning ⚠️**: External packages cannot be installed)
## Material
All the material for this course could be found [here](
https://github.com/AlexandreGazagnes/Unilasalle-Public-Ressources).## Sructure
```.
├── 2a-statistical-tests
│ ├── 01-session
│ ├── 02-session
│ ├── 03-session
│ ├── 04-session
│ ├── 05-session
│ ├── 06-session
│ ├── 07-session
│ ├── 08-session
│ └── 09-session
├── 4a-data-analysis
│ ├── 01-session
│ ├── 02-session
│ ├── 03-session
│ ├── 04-session
│ └── 05-exam
├── requirements.txt
```## Troubleshooting
For any question, please feel free to open an issue on the [issue page](https://github.com/AlexandreGazagnes/Unilasalle-Public-Ressources/issues)