Der Werkzeugkasten des Data Scientist

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio

• Set up R, R-Studio, Github and other useful tools
• Understand the data, problems, and tools that data analysts use
• Explain essential study design concepts
• Create a Github repository

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities