David Schmudde / Oct 04 2019
Outreach
Newsletters
- The Data Science Roundup by Tristan Handy of Fishtown Analytics ↩️ VCS + Science
- Machine Learnings by Sam DeBrule of Journal ↩️ VCS + Science
- Data Science Weekly by Hannah & Sebastian @ Twitter for scholarship announcement
- Data Machina: Getting started with Clojure and MXNet on AWS in Data Machina #149 - Paid Subscription
- Kaggle Newsletter (only for Kaggle accounts)
- Data is Plural (only shares datasets)
- The Wild Week in AI (still active?)
- Machine Learning (theory - maybe not a good fit?)
- Statistical Modeling, Causal Inference, and Social Science (more of a blog)
- Walking Randomly (more of a blog)
- Flowing Data: Nathan Yau
- Data Science Association Newsletter
Forums
Reddit
Data Science
- r/datascience: Remember the reddit self-promotion rule of thumb: "For every 1 time you post self-promotional content, 9 other posts (submissions or comments) should not contain self-promotional content."
- r/datasets
- r/mathpics
Computer Science
- r/scipy, r/numpy
- r/compsci, which is different than r/programming or r/LearnProgramming
- r/programming
Science
- r/bioinfomatics (has programming "flair")
- r/science: submissions must pertain to recently published, peer-reviewed research in a reputable journal (has computer science category)
Model-Driven Authoring
- r/journalism
- r/explorables
Languages
- r/julia
- r/python
- r/ipython
- r/jupyter
- r/learnpython
Education
Learn Data Science by Nitin Borwankar Copyright (c) 2013, Alpine Data Labs
- Principles and Techniques of Data Science: This is the textbook for Data 100, the Principles and Techniques of Data Science course at UC Berkeley. Homeworks, labs, projects: https://github.com/DS-100/sp19 Course design: https://youtu.be/HITIm3KoU2UCourse website: http://www.ds100.org/sp19/
Podcasts
- Cognicast
Tutorial and Workshop Inspiration
Community
- R-Ladies Global co-founder Hannah Frick