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本帖最后由 sky420 于 2014-5-18 23:34 编辑
这是JHU specialization的第五门课,看了看介绍好像是主要介绍outline of data analysis and report。刚看了第一个星期的lecture,有一个用logistic regression的很基本的practical study。不过真心感觉他们讲课讲得好一般呀。。。我都是开1.25或者1.5倍速赶紧看完,等quiz遇到不会的,再回去看Notes。。。
Course Website: https://class.coursera.org/repdata-002
Course DescriptionIn this course you will learn the ideas of reproducible research and reporting of statistical analyses. Topics covered include literate programming tools, evidence-based data analysis, and organizing data analyses. In this course you will learn to write a document using R markdown, integrate live R code into a literate statistical program, compile R markdown documents using knitr and related tools, publish reproducible documents to the web, and organize a data analysis so that it is reproducible and accessible to others. Course Content- Structuring and organizing a data analysis
- Markdown and R Markdown
- knitr / RPubs
- Reproducible research check list
- Evidence-based data analysis
- Case studies in air pollution epidemiology and high-throughput biology
Week 1 http://www.1point3acres.com/bbs/thread-97527-1-1.html
Week 2 http://www.1point3acres.com/bbs/thread-98271-1-1.html
Week 3
Week 4
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