Clean up of Wiki Tutorials

[akhaleghi]

Overview

Update wiki with missing information or outdated links. Provide more detailed description of page descriptions + possibly fill out a tutorial or 2.

Action Items

• remove broken links on wiki
• flag outdated tutorials and pages
• add page descriptions where needed
• contribute to a tutorial

[KarinaLopez19]

Reviewed links in first two tutorials but may need help reviewing with:

• Data Analysis With Python: Pandas, Jupyter, EDA
• Data Analysis With R
• Data Visualization: Pandas, Seaborn, Matplotlib, Tableau, Looker
• Data Engineering: SQL, NoSQL
• Beginner Project (Pokemon): Pandas, requests

Wikis in need of documentation:

• Docker Completely empty
• Text Analysis: nltk, SpaCy Completely empty
• Data Ops: EC2, Lambda, RDS, Athena/Hive, Flask Completely empty, might be possible to share Dev Ops' Community resources here?
• Data Transformations with SQL and Python Completely empty, I can assign this one to myself and complete it
• Stats: Logistic/Linear Regression, Experimental Design, Significance Testing, Bayesian Analysis Completely empty
• https://github.com/hackforla/data-science/wiki/Machine-Learning intro started but nothing else there
• Deep Learning: PyTorch, Keras, HuggingFace bare bones

Could use some development:

• https://github.com/hackforla/data-science/wiki/Our-Work Would be helpful to add some more recent completed projects here e.g., Lalla's crime arrest data analysis
• unsure if this is still getting updated on our website but it's sparse for our team link

Possible new tutorials that can be developed:

• Using Github Actions
• All-about API calls
• Computer setup [Git, Pip/Conda, to helping with your first issue]
• How to guide for proper Project Board issue-writing/getting started at H4LA ds cop
• Developing Dashboards for "Free" (e.g., Looker, Tableau, Plotly)