Johns Hopkins University

The Data Scientist’s Toolbox

This course is part of multiple programs.

Taught in English

Some content may not be translated

Jeff Leek, PhD
Roger D. Peng, PhD
Brian Caffo, PhD

Instructors: Jeff Leek, PhD

739,564 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(33,857 reviews)

|

96%

18 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll 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

Details to know

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Assessments

21 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(33,857 reviews)

|

96%

18 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

In this module, we'll introduce and define data science and data itself. We'll also go over some of the resources that data scientists use to get help when they're stuck.

What's included

5 videos2 readings5 quizzes5 plugins

In this module, we'll help you get up and running with both R and RStudio. Along the way, you'll learn some basics about both and why data scientists use them.

What's included

5 videos6 quizzes5 plugins

During this module, you'll learn about version control and why it's so important to data scientists. You'll also learn how to use Git and GitHub to manage version control in data science projects.

What's included

4 videos5 quizzes4 plugins

During this final module, you'll learn to use R Markdown and get an introduction to three concepts that are incredibly important to every successful data scientist: asking good questions, experimental design, and big data.

What's included

4 videos5 quizzes1 peer review4 plugins

Instructors

Instructor ratings
4.5 (4,738 ratings)
Jeff Leek, PhD
Johns Hopkins University
32 Courses1,633,317 learners

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Recommended if you're interested in Data Analysis

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4.6

33,857 reviews

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5

Reviewed on Oct 7, 2020

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