Data Science Workshop - Introduction to Data Science in R -

This introductory workshop on the 23. May 2018 provides training in data mining with the R environment. Examples presented in the workshop will focus on applications in natural and life sciences. R is a quickly developing tool for data analysis, embraced both by academia and industry (Google, Microsoft or Facebook). This workshop will introduce attendees to key concepts of data science and give a hands-on experience without requiring a previous knowledge of R.

The workshop is part of the two conferences:

Since the IBID 2018 is an open access conference, participation is free of charge.

The workshop will cover fundamental topics including:

Exercises from this workshop employ data from life sciences, with a special focus on biomedical sciences and bioinformatics. Despite that fact, skills mastered during this event can be easily transferred to other applications.

Target audience:

The course is tailored for attendees with little to no experience with R. Any programming experience is welcomed, but not required to participate in the workshop. Topics touched during the workshop stuits equally needs of participants from industry and research.


To participate in this course you are required to bring your own laptop, with a recent version of R (http://cran.us.r-project.org/) and Rstudio (https://www.rstudio.com/products/rstudio/download/). To install necessary packages and download data run in R the following script:



Although the event is free of charge, participants must register under https://ibid-2018.b2match.io/signup, as available places are limited and information is required for certified participation. Participation in the free IBID conference is not necessary.

The registration is open until 21 May 2018.

Limited number of participants: 21 of 30 places left


Michał Burdukiewicz is a bioinformatician at University of Wrocław with 10 years of experience with R. As part of his PhD research he is working on bioinformatical tools that can be used for prediction of amyloidogenicity. He is passionate about open-source scientific software, Michał established Wrocław R User Group and organizes WhyR 2018 conference. Michał is author of several research papers, R software packages and R-based web-server applications.

Stefan Rödiger studied pharma-biotechnology and forensics and holds a doctoral degree in medical sciences. He is group leader at the Brandenburg University of Technology Cottbus – Senftenberg, where he works in the field of medical bioinformatics and bioanalytics. He has more than 13 years of experience with R. He is passionate about open-source scientific software and contributed to the R graphical user interface and integrated development environment RKWard. Stefan is author of several research papers, R software packages and contributed to web-server applications.