The Data Scientist’s Toolbox

$49.00

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. read more…

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What you'll learn

Week 1

Week 2: Installing the Toolbox

Week 3: Conceptual Issues

Week 4: Course Project Submission & Evaluation

Description

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.

Requirements

Access to a computer or mobile device with an internet connection.

Motivation to learn!

There are no special materials or prerequisite knowledge required for this course.

Who this course is for

Students who are new to this field

Students willing to put in a couple hours to learn about The Data Scientist’s Toolbox

Advanced students wanting to add another skill to their portfolio

Content Creator

Jeff Leek, PhD – Associate Professor, Biostatistics – Bloomberg School of Public Health

Roger D. Peng, PhD – Associate Professor, Biostatistics – Bloomberg School of Public Health

Brian Caffo, PhD – Professor, Biostatistics – Bloomberg School of Public Health

This course includes

Participation Confirmation/Certificate

Option for learning at your own pace

Videos and reading material about the course

Practice tests

Assessed tasks with feedback from other course participants

Evaluated tests with feedback

Evaluated programming tasks

Discussions

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