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Open Online Data Meetup
Material and slides from our Open Online Data Meetup (OODM) event series.
The Open Online Data Meetup (OODM) is an online-based meetup series which provides the space to share interesting insights and entertaining stories from the field of data science with other people from the community. OODM is organized by the CorrelAid Education Team together with CorrelAidX Bremen.
OODM 2: "Data Strategy: what it is and why every company needs one"
- Date: 2020-07-22
- Speaker: Sven Thies
2020-07-22_oodm2_sven_data_strategy_correlaid.pdf
4MB
PDF
Slides
OODM 3: "Interactive Science — Using Shiny and R to Make Research Accessible"
- Date: 2020-08-26
- Speaker: Cosima Meyer
OODM 4: "The lazy data scientist: Automating things feat. R, Python, AWS, and a Pi"
How to store thousands of shared bike locations every 4 minutes into a database
- Speaker: Alexandra Kapp
2020-09-23_oodm4_alex_automated_api_querying.pdf
651KB
PDF
Slides
Automated Reporting: Using R, AWS and Datawrapper to Automatically Create Tables and Charts
- Speaker: Yannik Buhl
2020-09-23_oodm4_yannik_automation_datawrapper_aws.pdf
636KB
PDF
Slides (open in Adobe Acrobat)
- additional links
Automating data collection for CorrelAid - A (personal) evolution from Raspberry Pi to AWS
- Speaker: Frie Preu
- additional links
OODM 5: "Untangling Matplotlib: An Interactive Workshop"
- Speaker: Henry Webel
OODM6: "Mobility Data"
Equality in mobility solutions for a world in which data are far from equal
- Speaker: Mark Padgham
2020-12-01_OODM6_equality_mobility_solutions.html
31KB
Binary
Slides
Measurig Air Quality and Counting Vehicles in a German city
- Speaker: Pia Baronetzky
2020-12-01_OODM6_VortragHawaDawa.pdf
2MB
PDF
Slides
Using Mobility Data to Simulate the Impact and Opportunities of Electric Vehicles in the Smart Grid
- Speaker: Marcus Voß
20201201_OODM6_Mobility_and_SmartGrid.pdf
4MB
PDF
Slides
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Contents
OODM 2: "Data Strategy: what it is and why every company needs one"
OODM 3: "Interactive Science — Using Shiny and R to Make Research Accessible"
OODM 4: "The lazy data scientist: Automating things feat. R, Python, AWS, and a Pi"
How to store thousands of shared bike locations every 4 minutes into a database
Automated Reporting: Using R, AWS and Datawrapper to Automatically Create Tables and Charts
Automating data collection for CorrelAid - A (personal) evolution from Raspberry Pi to AWS
OODM 5: "Untangling Matplotlib: An Interactive Workshop"
OODM6: "Mobility Data"
Equality in mobility solutions for a world in which data are far from equal
Measurig Air Quality and Counting Vehicles in a German city
Using Mobility Data to Simulate the Impact and Opportunities of Electric Vehicles in the Smart Grid