Description
This introductory course will showcase reproducible research through a simple analysis example. It will provide participants with basic knowledge how to prepare an analysis so that other researchers can understand (and eventually reproduce) how figures and statistical tests were created stepwise from the raw data. We will use R (and RStudio) as interpreted programming language. The course will blend on-line lessons on DataCamp with three 1.5 h hands on sessions.
No prior knowledge of R or RStudio is needed.
This course is generously supported by DataCamp by providing free access to online learning material for R for our course.
You will
- comprehend the importance of reproducible research.
- learn basic programming in R.
- recognize the difference between data visualisation options.
- understand the process towards a fully reproducible analysis notebook.
- get an introduction how to calculate simple descriptive and inferential statistics in R.
Lecturer
Dr. Ulf Tölch|QUEST Center for Transforming Biomedical Research, Berlin Institute of Health
Meggie Danziger|QUEST Center for Transforming Biomedical Research, Berlin Institute of Health