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Курс от Johns Hopkins University
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The Data Scientist’s Toolbox
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
Программа курса
4 модулей · 60 учебных материалов
01Data Science Fundamentals17 материалов
Welcome to the Data Scientist's Toolbox
WelcomeЧтениеA Note of ExplanationЧтениеWhy Automated Videos?ВидеоWhy Automated Videos?PLUGINУчитесь у экспертов
Jeff Leek, PhD
Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences
Roger D. Peng, PhD
Professor of Statistics and Data Sciences
Brian Caffo, PhD
Professor, Biostatistics