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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.

Created by Johns Hopkins University


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What you’ll learn


From this educational resource you may acquire the skills sought from employers these days. The most relevant technique within the learning opportunity that is frequently requested from employers is Data Science. The most relevant tool is R.

Who will benefit?


Evaluating the description from this learning resource with nearly 10,000 data-related job advertisements, we discover that those in or pursuing Data Scientist roles would benefit the most.