- Level Foundation
- Duration 18 hours
- Course by Johns Hopkins University
-
Offered by
About
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.Modules
Willkommen zum Werkzeugkasten des Data Scientist
1
Videos
- Warum automatisierte Videos?
2
Readings
- Willkommen
- Eine Anmerkung zur Erläuterung
Was ist Data Science?
1
Assignment
- Was ist Data Science?
1
Videos
- Was ist Data Science?
Was sind Daten?
1
Assignment
- Was sind Daten?
1
Videos
- Was sind Daten?
Hilfe bekommen
1
Assignment
- Test zur Hilfe
1
Videos
- Hilfe bekommen
Der Data-Science-Prozess
1
Assignment
- Data-Science-Prozess
1
Videos
- Der Data-Science-Prozess
Test zu Modul 1
1
Assignment
- Modul eins: Summativer Test
Installation von R
1
Assignment
- Installation von R
1
Videos
- Installation von R
Installation von RStudio
1
Assignment
- Installation von RStudio
1
Videos
- Installation von RStudio
RStudio-Rundgang
1
Assignment
- RStudio-Rundgang
1
Videos
- RStudio-Rundgang
R-Pakete
1
Assignment
- R-Pakete
1
Videos
- R-Pakete
Projekte in R
1
Assignment
- Projekte in R
1
Videos
- Projekte in R
Test zu Modul 2
1
Assignment
- Modul zwei: Summativer Test
Versionskontrolle
1
Assignment
- Versionskontrolle
1
Videos
- Versionskontrolle
GitHub und Git
1
Assignment
- GitHub und Git
1
Videos
- GitHub und Git
Verknüpfung von GitHub und RStudio
1
Assignment
- Linking Git/GitHub and RStudio
1
Videos
- Verknüpfung von GitHub und RStudio
Projekte unter Versionskontrolle
1
Assignment
- Projekte unter Versionskontrolle
1
Videos
- Projekte unter Versionskontrolle
Test zu Modul 3
1
Assignment
- Modul drei: Summativer Test
R Markdown
1
Assignment
- R Markdown
1
Videos
- R Markdown
Arten von datenwissenschaftlichen Fragen
1
Assignment
- Arten von datenwissenschaftlichen Fragen
1
Videos
- Arten von datenwissenschaftlichen Fragen
Versuchsplanung
1
Assignment
- Versuchsplanung
1
Videos
- Versuchsplanung
Big Data
1
Assignment
- Big Data
1
Videos
- Big Data
Test zu Modul 4
1
Assignment
- Modul vier: Summativer Test
Kursprojekt
1
Peer Review
- Zusammenstellung Ihres Werkzeugkastens
Auto Summary
Discover the essentials of data science with "Der Werkzeugkasten des Data Scientist." This foundational course by Coursera covers key tools and concepts, including version control, markdown, git, GitHub, R, and RStudio. Ideal for beginners, the 1080-minute course offers both conceptual and practical knowledge, available through Starter and Professional subscriptions. Join and turn data into actionable insights!
Localization Team

Jeff Leek, PhD