Summer Schools

Data scientists are becoming indispensable for research and scientific work in and across all disciplines. Especially young researchers profit from knowing about the scope and application areas of data science, its implications for scientific inquiries, and the skills required by a data scientist to be productive in a world deluged by data.

In cooperation with the Institute for Computer Science, Göttingen International, the University Medical Centre, and other partners at the Göttingen Campus and abroad, the eResearch alliance organizes International Summer Schools on Data Science. These summer schools aim to improve existing knowledge and skills of young researchers and pave their way in becoming a data scientist.

Topics and methods covered

  • Dealing with data across the data life cycle
  • Best Practices in data management
  • Methods (modeling, statistics, mining, …)
  • Infrastructures and platforms
  • Application examples
  • Ethical, legal, and social aspects

Data Science Summer School 2019

Topics, application and further information

Data Science Summer School 2018

Topics
Report available in GWDG-News (edition 8-9/2018)

Data Science Summer School 2017

Topics
Report available in GWDG-News (edition 8-9/2017)
Data Science Summer School on Twitter (#DS3GOE)

 

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