Course HackManaging Data AnalysisBy Johns Hopkins University, Jeff Leek, PhD, Brian Caffo, PhD, Roger D. Peng, PhD
In a Nutshell
A step-by-step framework for using data to answer questions delivered by experts from John Hopkins University.
Favorite Quote
Much like songwriting … it's important to realize that data analysis is an art. It is not something yet that we can teach to a computer.
Roger Peng
Introduction
For the uninitiated and even the experts, there are numerous ways in which data can trip us up.
You might ask a badly-framed question that's hard to answer effectively with data, use the wrong type of analysis for the question you've asked, or present your findings poorly so they confuse your audience.
This online course on data analysis is offered via Coursera and produced by John Hopkins University, where lead tutor Roger Peng is Associate Professor of Biostatistics.
Peng is also co-editor of the Simply Statistics blog and an editor for the journal Biostatistics.
Aimed at beginners and those who manage data scientists, the course teaches a five-stage data analysis framework, and seeks to help us understand how data scientists work.
Here are the 3 key insights from this Hack
- 1.With data analysis, you often loop back on yourself
- 2.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc volutpat, leo ut.
- 3.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc volutpat, leo ut.
