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Курс от Johns Hopkins University
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Der Werkzeugkasten des Data Scientist
Курс от Johns Hopkins UniversityО курсе
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.
Навыки, которые вы освоите
R ProgrammingVersion ControlR (Software)GitHubData ScienceGit (Version Control System)Software VersioningData Analysis SoftwareSoftware InstallationGeneral Science and ResearchStatistical ProgrammingData AnalysisBig DataIntegrated Development EnvironmentsSoftware Development ToolsDevelopment EnvironmentStatistical ReportingRmarkdown
Программа курса
4 модулей · 60 учебных материалов
01Data Science – Grundlagen17 материалов
Willkommen zum Werkzeugkasten des Data Scientist
WillkommenЧтениеEine Anmerkung zur ErläuterungЧтениеWarum automatisierte Videos?ВидеоWarum automatisierte Videos?PLUGINУчитесь у экспертов
Localization Team
Преподаватель курса
Jeff Leek, PhD
Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences