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: 27 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 (8 months ago)
• Default Branch: main
• Last Pushed: 2024-04-14T22:47:28.000Z (7 months ago)
• Last Synced: 2024-10-11T04:47:23.142Z (27 days 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 Python

The 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)