課程信息
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第 1 門課程(共 1 門)

100% 在線

立即開始,按照自己的計劃學習。

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完成時間大約為10 小時

建議:4-9 hours/week...

英語(English)

字幕:英語(English), 越南語, 法語(French)

您將學到的內容有

  • Check

    Determine the reproducibility of analysis project

  • Check

    Organize data analysis to help make it more reproducible

  • Check

    Publish reproducible web documents using Markdown

  • Check

    Write up a reproducible data analysis using knitr

您將獲得的技能

KnitrData AnalysisR ProgrammingMarkup Language

第 1 門課程(共 1 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為10 小時

建議:4-9 hours/week...

英語(English)

字幕:英語(English), 越南語, 法語(French)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

Week 1: Concepts, Ideas, & Structure

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.

...
9 個視頻 (總計 72 分鐘), 3 個閱讀材料, 1 個測驗
9 個視頻
What is Reproducible Research About?8分鐘
Reproducible Research: Concepts and Ideas (part 1)7分鐘
Reproducible Research: Concepts and Ideas (part 2) 5分鐘
Reproducible Research: Concepts and Ideas (part 3) 3分鐘
Scripting Your Analysis 4分鐘
Structure of a Data Analysis (part 1)12分鐘
Structure of a Data Analysis (part 2)17分鐘
Organizing Your Analysis11分鐘
3 個閱讀材料
Syllabus10分鐘
Pre-course survey10分鐘
Course Book: Report Writing for Data Science in R10分鐘
1 個練習
Week 1 Quiz20分鐘
2
完成時間為 3 小時

Week 2: Markdown & knitr

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.

...
9 個視頻 (總計 59 分鐘), 2 個測驗
9 個視頻
Markdown5分鐘
R Markdown6分鐘
R Markdown Demonstration7分鐘
knitr (part 1)7分鐘
knitr (part 2) 4分鐘
knitr (part 3) 4分鐘
knitr (part 4) 9分鐘
Introduction to Course Project 14分鐘
1 個練習
Week 2 Quiz10分鐘
3
完成時間為 1 小時

Week 3: Reproducible Research Checklist & Evidence-based Data Analysis

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.

...
10 個視頻 (總計 60 分鐘)
10 個視頻
RPubs 3分鐘
Reproducible Research Checklist (part 1)8分鐘
Reproducible Research Checklist (part 2) 10分鐘
Reproducible Research Checklist (part 3) 6分鐘
Evidence-based Data Analysis (part 1)3分鐘
Evidence-based Data Analysis (part 2) 3分鐘
Evidence-based Data Analysis (part 3) 4分鐘
Evidence-based Data Analysis (part 4) 4分鐘
Evidence-based Data Analysis (part 5) 7分鐘
4
完成時間為 3 小時

Week 4: Case Studies & Commentaries

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

...
5 個視頻 (總計 59 分鐘), 1 個閱讀材料, 1 個測驗
5 個視頻
Case Study: Air Pollution14分鐘
Case Study: High Throughput Biology30分鐘
Commentaries on Data Analysis2分鐘
Introduction to Peer Assessment 232
1 個閱讀材料
Post-Course Survey10分鐘
4.5
455 個審閱Chevron Right

33%

完成這些課程後已開始新的職業生涯

31%

通過此課程獲得實實在在的工作福利

來自可重复性研究的熱門評論

創建者 AAFeb 13th 2016

My favorite course, at least it gives me an argument why scripted statistics is awesome and can be applied to a number of data related activities. Recycling chunks of code has proven useful to me.

創建者 ASJun 23rd 2017

Of course, I liked this course. There was even an extra non-graded assignment. Plus two graded assignments. Quality instruction videos and lots of practice. Everything a learner needs.

講師

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Roger D. Peng, PhD

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

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

Professor, Biostatistics
Bloomberg School of Public Health

關於 约翰霍普金斯大学

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

關於 数据科学 專項課程

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material....
数据科学

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