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

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

[ryanmswan]

Created and assigned the following tickets:

• Create ETL/Data Cleaning Tutorial #143
• Create Data Visualization Tutorial #144
• CoP: Data Science: Create Data Analysis With R Tutorial #145
• Create Web Scraping Tutorial #146
• Create Data Engineering Tutorial #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?