The Hack For LA Data Science team is a Community of Practice within the LA brigade seeking to make analytical and machine learning services available to local communities and organizations.
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
A resources section listing vetted tutorials covering important skills within the tutorial area
Resources/Instructions
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
Opted to change the title a bit to better reflect the content. I think maybe the ETL stuff should go in the Data Engineering tutorial, since pipelining feels a bit out of scope here.
ryanmswan
commented
2 years ago
Overview
Update the ETL/Data Cleaning Tutorial with resources and a header explaining
Action Items
Create wiki page in the data-science repo for the listed subject Update the Tutorial with:
Resources/Instructions
Examples of resources that would be useful to include: