Johns Hopkins University
Der Werkzeugkasten des Data Scientist
Johns Hopkins University

Der Werkzeugkasten des Data Scientist

Taught in German

Course

Gain insight into a topic and learn the fundamentals

Localization Team
Jeff Leek, PhD

Instructors: Localization Team

17 hours to complete
3 weeks at 5 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

Details to know

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Assessments

21 quizzes

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There are 4 modules in this course

In diesem Modul werden wir Data Science und die Daten selbst vorstellen und definieren. Wir gehen auch auf einige der Ressourcen ein, die Data Scientists nutzen, um Hilfe zu erhalten, wenn sie nicht weiterkommen.

What's included

5 videos2 readings5 quizzes5 plugins

In diesem Modul helfen wir Ihnen, sich mit R und RStudio vertraut zu machen. Nebenbei lernen Sie einige Grundlagen über beide Tools und warum Data Scientists sie verwenden.

What's included

5 videos6 quizzes5 plugins

In diesem Modul lernen Sie etwas über Versionskontrolle und warum sie für Data Scientists so wichtig ist. Außerdem lernen Sie, wie Sie mit Git und GitHub die Versionskontrolle in Data-Science-Projekten verwalten können.

What's included

4 videos5 quizzes4 plugins

In diesem letzten Modul lernen Sie die Verwendung von R Markdown kennen und erhalten eine Einführung zu drei Konzepten, die für jeden erfolgreichen Data Scientist unglaublich wichtig sind: gute Fragen stellen, Versuchsplanung und Big Data.

What's included

4 videos5 quizzes1 peer review4 plugins

Instructors

Localization Team
8 Courses18,822 learners

Offered by

Recommended if you're interested in Data Analysis

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