Potential Tutorials and Guides

[ryanmswan]

Dependency

• Re-evaluate once the tutorial issues are complete.

Overview

Guides and tutorials to be produced to help new data scientists and analysts with tasks assigned to them at Hack for LA.

Action Items

Cop Lead

• [x] Define our top three from the below list
• [ ] Send issue back to product team.

Product team

Make issues for the top three

Resources

Tutorials Folder Docker/Selenium Tutorial

List of potential turorials

• ETL/Data Cleaning: Pandas, statsmodels, scikit-learn #143
• Data Analysis: R #145
• Data Visualization: Pandas, Seaborn, Matplotlib, Tableau #144
• Data Engineering: SQL, NoSQL #147
• Docker: installation (potential standalone guide), building containers, running python from within a container https://github.com/hackforla/ops/issues/13
• Webscraping: Python (Selenium, BeautifulSoup, Requests), Using APIs #146
• Geospatial Data Analysis: GeoPandas, QGIS/ArcGIS #148
• Text Analysis: nltk, SpaCy #153
• Data Ops: EC2, Lambda, RDS, Athena/Hive, Flask #154
• Stats: Logistic/Linear Regression, Experimental Design, Significance Testing, Bayesian Analysis #155
• Machine Learning/Stats: XGBoost, Random Forest #156
• Deep Learning: PyTorch, Keras, HuggingFace #157

[ryanmswan]

Created and assigned the following tickets:

• 143

• 144

• 145

• 146

• 147

[ExperimentsInHonesty]

@akhaleghi I added Ryan's tutorial list to the top section, but I didn't see Create Data Analysis with R Tutorial on there, even though he has made an issue for it. Can you talk with him to find out where it sits in the priority list above, and add it?