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.
Der Werkzeugkasten des Data Scientist
Der Werkzeugkasten des Data Scientist
Instructors: Localization Team
Access provided by Pak Portal 25
Gain insight into a topic and learn the fundamentals.
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
21 assignments
Taught in German
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There are 4 modules in this course
Offered by
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