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Open data, Open source and reproducibility of statistical algorithms - 2024

Open data, Open source and reproducibility of statistical algorithms 
Course LeaderPuts, Marco & Mussmann, Ole
Target GroupData Scientists, Statisticians, IT.
Entry Qualifications
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions
  • Basic programming knowledge in Python
Objective(s)
  • Objective is to teach the participants how to use open source and open data.
Contents

-             Using open data: standards and tools to link open data

-             Using and creating open source

-             Licencing types

-             Introduction to GIT

-             Code versioning

-             Markdown Language

-             Introduction to notebooks

-           Running environments

Expected OutcomeThe participants should be able to use open data, know how to use open source and understand the different licences under which open data and open source are published. The participants should be able to use GIT and know environments like gitlab and github. They also know how to document using markdown languages.
Training Methods
  • Presentations and lectures
  • Exercises
Required ReadingNone
Suggested ReadingNone
Required PreparationBasic knowledge of Git and Python are necessary. If not present, the participant should follow the basic courses on git and python on codecademy
Trainer(s)/

Lecturer(s)		Ole Mussmann, Marco Puts

 

 

PRACTICAL INFORMATION

 

    
WhenDurationWhereOrganiserAPPLICATION VIA National Contact Point
4-6.06.20243 daysThe Hague, Netherlands

ICON INSTITUTE

Public Sector GmbH

Deadline: 08.04.2024