2019 - Berlin


  • Simon Jockers - Datenguide

  • Andrea Knabe-Schönemann - WikiData

  • Michael Peters - Code for Germany


Data Science Process in the Google Cloud (Henry Webel)

git our shit together (Frie Preu)

Test-driven-development with R and Python (Alexandra Kapp & Frie Preu):

Linux101 - A system scavenger hunt (Christian Moreau)

Pragmatic geodata with R (Ilja)

APIs in Python and R (Jan + Jakob)

Introduction to Python (Lisa, Thomas, Max)

GLEIF Data (Zori)

Missing Data (Regina)

Explainable ML (Rahel)

datengui.de Hackathon with datenguidepy / datenguideR (Konrad, Barbara, Lisa)

Bike data from FixMyBerlin (Nora)

Feature Engineering and Selection for Machine Learning (Soledad)

Introduction to R (Arndt, Yannik)

Visualization of political processes with Open Data (Valentin)

CorrelAid project lead - 10 lessons learned (Chris)

CorrelAidX Netherlands - best practices for local chapters (Joel, Andrew)

Revive the CorrelAid Podcast (Jasmin)

Introduction to RMarkdown + CorrelAid Wiki (Jasmin)

CorrelAidX formats: tidytuesdays and data dialogues (Sylvi, Hendrik)

Get shit done (Arndt)

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