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.

WHAT YOU WILL LEARN

• Set up R, R-Studio, Github and other useful tools

• Understand the data, problems, and tools that data analysts use

• Explain essential study design concepts

• Create a Github repository

Jeff Leek, PhD

Associate Professor, Biostatistics

Bloomberg School of Public Health

1,303,251 Learners

20 Courses

Roger D. Peng, PhD

Associate Professor, Biostatistics

Bloomberg School of Public Health

1,281,707 Learners

27 Courses

Brian Caffo, PhD

Professor, Biostatistics

Bloomberg School of Public Health

1,303,304 Learners

21 Courses

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