hackforla / hackforla/data-science
CoP: Data Science: Create Stats Tutorial
- Dominant language
- Jupyter Notebook
- Stars
- 33
- Forks
- 22
- PR merge metrics
- No merged PRs in 30d
Description
### Overview
Update the [Stats](https://github.com/hackforla/data-science/wiki/Statistics) page with resources and an article header.
### Action Items
- [x] Create a Google Doc in the folder provided under resources
- [x] Draft an introductory paragraph explaining what the tutorial resources cover and why a new data scientist would use them for working with data at Hack For LA
- [x] Identify resources with vetted tutorials covering important skills within the tutorial area, adding to the draft
- [ ] Review the draft with the Data Science CoP
- [ ] Add to the wiki page
### Resources/Instructions
#### Wiki page
[Stats Tutorial](https://github.com/hackforla/data-science/wiki/Statistics)
Tutorial Draft - in progress: https://docs.google.com/document/d/1twiVN6-gRqT_HvPWogkURnZLewAjL1pN-tyXxzyzJlE/edit?tab=t.0)
#### Location for any files you might need to upload (drafts, images, etc.)
- [Folder for files related to the Stats tutorial](https://drive.google.com/drive/folders/1MLPi4eo6BaurUDh-fIBW85ZKPE3jDERu)
- [DS: Stats Tutorial Google Doc](https://docs.google.com/document/d/1FMbaMeVRcVQPiIGW3QvO1ah8ocptNFwLiQjTZ-RUhsU/edit)
#### Skills that are core that should be mentioned:
- Descriptive and Inferential Stats
- Logistic/Linear Regression
- Experimental Design
- Significance Testing
- Bayesian Analysis
- Hypotheses Testing
#### Examples of resources that would be useful to include:
- Web how-to/tutorial/walk-throughs
- Youtube playlists or videos demonstrating tools
- Links to blogs or platforms with subject matter experts
Contributor guide
Assessment
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