Johns Hopkins University

Reproducible Research

This course is part of multiple programs.

Taught in English

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

Instructors: Roger D. Peng, PhD

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Course

Gain insight into a topic and learn the fundamentals

4.6

(4,168 reviews)

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93%

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

What you'll learn

  • Organize data analysis to help make it more reproducible

  • Write up a reproducible data analysis using knitr

  • Determine the reproducibility of analysis project

  • Publish reproducible web documents using Markdown

Details to know

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Assessments

2 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(4,168 reviews)

|

93%

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

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

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There are 4 modules in this course

This week will cover the basic ideas of reproducible research since they may be unfamiliar to some of you. We also cover structuring and organizing a data analysis to help make it more reproducible. I recommend that you watch the videos in the order that they are listed on the web page, but watching the videos out of order isn't going to ruin the story.

What's included

9 videos4 readings1 quiz

This week we cover some of the core tools for developing reproducible documents. We cover the literate programming tool knitr and show how to integrate it with Markdown to publish reproducible web documents. We also introduce the first peer assessment which will require you to write up a reproducible data analysis using knitr.

What's included

9 videos1 quiz1 peer review

This week covers what one could call a basic check list for ensuring that a data analysis is reproducible. While it's not absolutely sufficient to follow the check list, it provides a necessary minimum standard that would be applicable to almost any area of analysis.

What's included

10 videos

This week there are two case studies involving the importance of reproducibility in science for you to watch.

What's included

5 videos1 reading1 peer review

Instructors

Instructor ratings
4.6 (145 ratings)
Roger D. Peng, PhD
Johns Hopkins University
37 Courses1,588,350 learners

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4.6

4,168 reviews

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IM
5

Reviewed on Aug 9, 2019

GG
4

Reviewed on Dec 15, 2016

MF
5

Reviewed on Mar 30, 2022

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