Johns Hopkins University

The Data Scientist’s Toolbox

This course is part of multiple programs.

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

Instructors: Jeff Leek, PhD

748,157 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(33,929 reviews)

17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(33,929 reviews)

17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course

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

Shareable certificate

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Assessments

21 assignments

Taught in English

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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 assignments5 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 assignments5 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 assignments4 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 assignments1 peer review4 plugins

Instructors

Instructor ratings
4.5 (4,758 ratings)
Jeff Leek, PhD
Johns Hopkins University
32 Courses1,660,865 learners

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Recommended if you're interested in Data Analysis

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4.6

33,929 reviews

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5

Reviewed on Oct 7, 2020

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4

Reviewed on Sep 10, 2019

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5

Reviewed on Jul 21, 2017

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