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  • Knowledge in statistics is key for understanding and conducting scientific research. It is important to have basic statistical literacy in order to design experiments, analyze data and eventually present results and draw reasonable conclusions.
    Statistical analysis can be performed by using a script-based software, which guarantees the traceability and reproducibility of statistical analyses. The software R is optimal for this, since R provides access to a very broad range of (up-to-date) statistical methods, and is also open source. Furthermore, R is the dominating programming language for statistical analyses in Academia and is also widely used in industry.
    Ascertainment of reproducibility is important for evidence-based science and therefore of central concern to scientists.
  • For PhD students and PostDocs who were recruited based on a job offer released on 01/01/2019 or later the participation in the following courses is mandatory:
  • It is recommended to first participate in the course “Introduction to R” and afterward in “Introduction to Statistics” since the exercises of the statistics course require knowledge of R. The course “Reproducible and Open Research” formally does not depend on participation in the other two courses, but it is advantageous to have knowledge in programming and statistics. Moreover, it is recommended to participate in all three courses during the first year as a PhD student or PostDoc at Helmholtz Munich.
  • HELENA students may also check the description of the program here.
  • To apply for the approval of already existing and verifiable programming (R or Python) and/or statistics knowledge, please read the following documents carefully:
    • Checklist
    • FAQ
    • Application form

For questions concerning the approval of already existing programming skills and/or knowledge in statistics please email us.