2019 - Berlin

Keynotes

• Simon Jockers - Datenguide

• Andrea Knabe-Schönemann - WikiData

• Michael Peters - Code for Germany

Workshops

Data Science Process in the Google Cloud (Henry Webel)

• GitHub repo

git our shit together (Frie Preu)

• Gitlab Repo

• toy repo for participants

• slides****

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

• Python repo

• R repo

• Slides****

Linux101 - A system scavenger hunt (Christian Moreau)

Pragmatic geodata with R (Ilja)

• Slides and links to repositories

APIs in Python and R (Jan + Jakob)

Introduction to Python (Lisa, Thomas, Max)

• Slides and jupyter notebooks

GLEIF Data (Zori)

Missing Data (Regina)

Explainable ML (Rahel)

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

• Python GitHub repo

• R GitHub repo

• Datenguide Website

• Group results from weRnuts3

Bike data from FixMyBerlin (Nora)

• FixMyBerlin Webseite

Feature Engineering and Selection for Machine Learning (Soledad)

Introduction to R (Arndt, Yannik)

• GitHub Repo

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)

• GitHub Repo

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

Get shit done (Arndt)

• GitLab Repo