Course Introduction
Joong-Ho Won @ SNU
September 03, 2018
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Acknowledgment
This lecture note is based on Dr. Hua Zhou’s 2018 Winter Statistical Computing course notes available at http://hua-zhou.github.io/teaching/biostatm280-2018winter/index.html.
What is this course about?
Statistics and data science
This course introduces some computing skills and software tools for handling potentially big data.
Statistics, the science of data analysis, is the applied mathematics in the 21st century.
Data is increasing in volume, velocity, and variety.
Classification of data sets by Huber (1994); Huber (1996)
| Data Size | Bytes | Storage Mode |
|---|---|---|
| tiny | \(10^2\) | piece of paper |
| small | \(10^4\) | a few pieces of paper |
| medium | \(10^6\) (MB) | a floppy disk |
| large | \(10^8\) | hard disk |
| huge | \(10^9\) (GB) | hard disk(s) |
| massive | \(10^{12}\) (TB) | hard disk(s); RAID storage |
Course desciption
This course introduces some computing skills and software tools for handling potentially big data.
Read syllabus for a tentative list of topics and course logistics.
References
Huber, Peter J. 1994. “Huge Data Sets.” In COMPSTAT 1994 (Vienna), 3–13. Heidelberg: Physica.
———. 1996. “Massive Data Sets Workshop: The Morning After.” In Massive Data Sets: Proceedings of a Workshop, 169–84. Washington: National Academy Press.