北美+德国18所名校数据科学课程汇总（下），仅供大家学习参考

纷飞

第3部分：相关的研讨会

http://strataconf.com/strata2011/public/schedule/detail/17164  数据训练营，地层2011

http://learning.stat.purdue.edu/mlss/mlss/start  2011年，普渡大学的机器学习暑期学校

http://lookingatdata.com/  了解数据

第4部分：书籍

http://www.amazon.com/Competing-Analytics-New-Science-Winning/dp/1422103323/ 竞争分析

http://www.amazon.com/Analytics-Work-Smarter-Decisions-Results/dp/1422177696 Google Analytics（分析）工作

http://www.amazon.com/Super-Crunchers-Thinking-Numbers-Smart/dp/0553805401  超级统计员

http://www.amazon.com/Numerati-Stephen-Baker/dp/0547247931/  The Numerati

http://www.amazon.com/Data-Driven-Profiting-Important-Business/dp/1422119122/  数据驱动

http://oreilly.com/catalog/0636920018254/  数据源手册

http://oreilly.com/catalog/9780596529321/  集体智慧编程

http://oreilly.com/catalog/0636920010203  挖掘社会网络

http://oreilly.com/catalog/9780596802363/  数据分析与开放源码工具

http://oreilly.com/catalog/9780596514556/  可视化数据

http://www.edwardtufte.com/tufte/books_vdqi  定量信息的可视化显示

http://www.edwardtufte.com/tufte/books_ei  展望信息

http://www.edwardtufte.com/tufte/books_visex  视觉说明：图片和数量，证据和叙事

http://www.edwardtufte.com/tufte/books_be  美丽的证据

http://www.greenteapress.com/thinkstats/  思考统计

http://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X  数据回归分析和多级/分层模型

http://www.amazon.com/gp/product/0195152964/  应用纵向数据分析

http://www.amazon.com/Design-Observational-Studies-Springer-Statistics/dp/1441912126/  观察性研究设计

http://www.amazon.com/Statistical-Rules-Thumb-Probability-Statistics/dp/0470144483/统计拇指规则

http://www.amazon.com/All-Statistics-Statistical-Inference-Springer/dp/1441923225/统计

http://www.amazon.com/Handbook-Statistical-Analyses-Using-Second/dp/1420079336/ 统计分析使用R手册

http://www.amazon.com/Mathematical-Statistics-Analysis-Duxbury-Advanced/dp/0534399428/  数理统计与数据分析

http://www.amazon.com/Elements-Statistical-Learning-Prediction-Statistics/dp/0387848576/  统计学习的元素

http://www.amazon.com/Counterfactuals-Causal-Inference-Principles-Analytical/dp/0521671930/  与事实相反的因果推理

http://infolab.stanford.edu/~ullman/mmds/book.pdf  挖掘海量数据集

http://www.amazon.com/Data-Analysis-Learned-Probability-Statistics/dp/1118010647 数据分析：从近50年来可以学到什么

http://www.amazon.com/Bias-Causation-Comparisons-Probability-Statistics/dp/0470286393  偏见和因果关系

http://www.amazon.com/Regression-Modeling-Strategies-Frank-Harrell/dp/0387952322 回归建模策略

http://www.amazon.com/Probably-Not-Prediction-Probability-Statistical/dp/0470184019 可能不会

http://www.amazon.com/Statistics-Principled-Argument-Robert-Abelson/dp/0805805281/  统计原则上的争论

http://www.amazon.com/gp/product/0691057826/  数据分析的实践

第5部分：视频

http://www.ted.com/talks/lies_damned_lies_and_statistics_about_tedtalks.html  谎言，该死的谎言和统计数据

http://www.gapminder.org/videos/the-joy-of-stats/  喜的统计资料

http://datajournalism.stanford.edu/  新闻中的年龄数据

xiaoguozhi

感觉高大上啊

核桃木瓜

MOOC学院里面还有一些名校的教学视频和讲义下载~感兴趣的坛友可以看看~

htseven

嗯，很丰富啊