Coursera - The Data Scientist’s Toolbox
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.
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Main message: This RelatedCourseLink introduces the main tools and ideas used by data analysts and data scientists. It aims to equip learners with the conceptual knowledge as well as the practical skills necessary for working with data. This RelatedCourseLink focuses on providing an introduction to the 'Data Scientist’s Toolbox'. It provides a conceptual overview of turning data into actionable knowledge and includes topics such as version control, markdown, git, GitHub, R, and RStudio. It is educational in nature, designed to help learners understand how to turn data into actionable information by exploring a range of concepts and tools associated with working with data.
Keywords: Data Scientist’s Toolbox, Version Control, Markdown, Git, GitHub, R Studio
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