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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.



Career Relevance by Data Role

The techniques and tools covered in The Data Scientist’s Toolbox are most similar to the requirements found in Data Scientist job advertisements.


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Fast Facts

Tools
Git Github R RStudio

Techniques
Data Science Natural Language Processing

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