data_essentials_stage_oct_2023's Introduction

Notes and projects source code from my "Data Essential" training at JEDHA

Main topics & projects

Data visualisation
- Tableau
SQL
- Introduction to SQL
  - Google Cloud, Google BigQuery
- Advanced SQL
Python programming
- Statistics
- Seaborn, Pandas...
AB Testing
Machine Learning
- Regression : Linear regression
- Classification : Logistic regression, Decision tree, Random Forest
- Performances measurements, features importance, monitoring
Final project
- Project : Salaries in San Francisco administration.

I use these slides when I'm a TA at JEDHA. They can be useful if you attend the course and want to come back to a particular point.
The slides are at the root: 00_notes_de_stages.pptx
Sorry, you can't see them online with Github
- You have to download them
- After that, there's a bit of everything, and depending on whether you're in week 01 or 02, not everything will be useful.
- If there are comments, there's a green icon in the top right-hand corner.
- If there are animations, there's a red icon at top left, and of course you have to press SHIFT+F5 to see the slide.

This is the San Francisco project
- Feel free to read the slides (*pptx) before to look at the code
- Many many slides are hidden. Press F5 to run the presentation as it should
- We used these slides during the formal presentation at the end of the training
- I used these slides and some technical information for the validation of Block 6 (RNCP 35288)

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