問(wèn)答

http://www./What-is-data-science  數(shù)據(jù)科學(xué)是什么？

http://www./How-do-I-become-a-data-scientist  我怎樣才能成為一個(gè)數(shù)據(jù)科學(xué)家？

http://www./Data-Science/How-does-data-science-differ-from-traditional-statistical-analysis  科學(xué)數(shù)據(jù)是如何從傳統(tǒng)的統(tǒng)計(jì)分析不同嗎？

相關(guān)課程

http://statistics./classes/s133/  計(jì)算數(shù)據(jù)概念，伯克利分校

http://www.cs./~jordan/courses/294-fall09/  實(shí)用機(jī)器學(xué)習(xí)，伯克利分校

http://inst.eecs./~cs188  人工智能伯克利分校

http://vis./courses/cs294-10-sp11/wiki/index.php/CS294-10_Visualization  可視化，伯克利

http://courses.ischool./i290-dma/s12/doku.php  數(shù)據(jù)挖掘和分析的智能商務(wù)服務(wù)，伯克利

http://courses.ischool./i296a-dsa/s12  數(shù)據(jù)科學(xué)及分析：思想領(lǐng)袖，伯克利

http:///  機(jī)器學(xué)習(xí)，斯坦福大學(xué)

http://www-stat./~naras/stat290  范式的計(jì)算數(shù)據(jù)，斯坦福大學(xué)

http://www./class/cs246/cs246-11-mmds  挖掘大型數(shù)據(jù)集，斯坦福大學(xué)

https://graphics./wikis/cs448b-10-fall  數(shù)據(jù)可視化，斯坦福大學(xué)

http://www./class/cs369m/  海量數(shù)據(jù)集分析，斯坦福大學(xué)的算法

http://hci./courses/cs448g/  交互式數(shù)據(jù)分析，斯坦福大學(xué)的研究主題

http://www./class/stats202/  數(shù)據(jù)挖掘，斯坦福大學(xué)

http://www.cs./~epxing/Class/10701/lecture.html  機(jī)器學(xué)習(xí)，債務(wù)工具中央結(jié)算系統(tǒng)

http://www.stat./~cshalizi/statcomp/  統(tǒng)計(jì)計(jì)算，債務(wù)工具中央結(jié)算系統(tǒng)

http://malt.ml./mw/index.php/Syllabus_for_Machine_Learning_with_Large_Datasets_10-605_in_Spring_2012  對(duì)于大型數(shù)據(jù)集的機(jī)器學(xué)習(xí)，債務(wù)工具中央結(jié)算系統(tǒng)

http://ocw./courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/index.htm  機(jī)器學(xué)習(xí)，麻省理工學(xué)院

http://ocw./courses/sloan-school-of-management/15-062-data-mining-spring-2003/  數(shù)據(jù)挖掘，麻省理工學(xué)院

http://www./~9.520/  統(tǒng)計(jì)學(xué)習(xí)理論及應(yīng)用，MIT

http://dataiap.github.com/dataiap/  數(shù)據(jù)素養(yǎng)，麻省理工學(xué)院

https://wiki.engr./display/cs412  數(shù)據(jù)挖掘，UIUC

http://work./telecourse.html  數(shù)據(jù)，加州理工學(xué)院學(xué)習(xí)

http://itunes.apple.com/us/itunes-u/statistics-110-introduction/id495213607  統(tǒng)計(jì)簡(jiǎn)介，美國(guó)哈佛大學(xué)

http://www.umiacs./~jimmylin/cloud-2010-Spring  數(shù)據(jù)密集的信息處理應(yīng)用，馬里蘭大學(xué)

http://www.cs./~coms699812/  處理海量數(shù)據(jù)，哥倫比亞

http:///ddm/  數(shù)據(jù)驅(qū)動(dòng)的建模，哥倫比亞

http://www.cc./~agray/4245fall10/  數(shù)據(jù)挖掘和分析，佐治亞理工學(xué)院

http://www.cc./~agray/6740fall09  計(jì)算數(shù)據(jù)分析：機(jī)器學(xué)習(xí)和大的基礎(chǔ)，佐治亞理工學(xué)院

http:///stat480/  愛(ài)荷華州立大學(xué)應(yīng)用統(tǒng)計(jì)計(jì)算，

http:///stat645/  數(shù)據(jù)可視化

http://www.cs./courses/spring08/G22.3033-003/index.html  數(shù)據(jù)倉(cāng)庫(kù)與數(shù)據(jù)挖掘，NYU

http://chem-eng./~datamining/DataMiningCourse.htm  數(shù)據(jù)挖掘技術(shù)在工程，多倫多

http://sli.ics./Classes/2011W-178  機(jī)器學(xué)習(xí)與數(shù)據(jù)挖掘，加州大學(xué)歐文分校

http://users.csc./~dekhtyar/466-Fall2010/  數(shù)據(jù)的知識(shí)發(fā)現(xiàn)，卡爾波利

http://ttic./~gregory/courses/LargeScaleLearning/  大型芝加哥大學(xué)學(xué)習(xí)，

http://www.cise./class/cis6930fa11lad/  數(shù)據(jù)科學(xué)：大型高級(jí)數(shù)據(jù)分析，美國(guó)佛羅里達(dá)大學(xué)

http:///~strimmer/lab/courses/ss09/current-topics/  統(tǒng)計(jì)數(shù)據(jù)分析的Universitat萊比錫的策略

相關(guān)的研討會(huì)

http:///strata2011/public/schedule/detail/17164  數(shù)據(jù)訓(xùn)練營(yíng)，地層2011

http://learning.stat./mlss/mlss/start  2011年，普渡大學(xué)的機(jī)器學(xué)習(xí)暑期學(xué)校

http:///  了解數(shù)據(jù)

書(shū)籍

http://www.amazon.com/Competing-Analytics-New-Science-Winning/dp/1422103323/ 競(jìng)爭(zhēng)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  超級(jí)統(tǒng)計(jì)員

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

http://www.amazon.com/Data-Driven-Profiting-Important-Business/dp/1422119122/  數(shù)據(jù)驅(qū)動(dòng)

http:///catalog/0636920018254/  數(shù)據(jù)源手冊(cè)

http:///catalog/9780596529321/  集體智慧編程

http:///catalog/0636920010203  挖掘社會(huì)網(wǎng)絡(luò)

http:///catalog/9780596802363/  數(shù)據(jù)分析與開(kāi)放源碼工具

http:///catalog/9780596514556/  可視化數(shù)據(jù)

http://www./tufte/books_vdqi  定量信息的可視化顯示

http://www./tufte/books_ei  展望信息

http://www./tufte/books_visex  視覺(jué)說(shuō)明：圖片和數(shù)量，證據(jù)和敘事

http://www./tufte/books_be  美麗的證據(jù)

http://www./thinkstats/  思考統(tǒng)計(jì)

http://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X  數(shù)據(jù)回歸分析和多級(jí)/分層模型

http://www.amazon.com/gp/product/0195152964/  應(yīng)用縱向數(shù)據(jù)分析

http://www.amazon.com/Design-Observational-Studies-Springer-Statistics/dp/1441912126/  觀察性研究設(shè)計(jì)

http://www.amazon.com/Statistical-Rules-Thumb-Probability-Statistics/dp/0470144483/統(tǒng)計(jì)拇指規(guī)則

http://www.amazon.com/All-Statistics-Statistical-Inference-Springer/dp/1441923225/統(tǒng)計(jì)

http://www.amazon.com/Handbook-Statistical-Analyses-Using-Second/dp/1420079336/ 統(tǒng)計(jì)分析使用R手冊(cè)

http://www.amazon.com/Mathematical-Statistics-Analysis-Duxbury-Advanced/dp/0534399428/  數(shù)理統(tǒng)計(jì)與數(shù)據(jù)分析

http://www.amazon.com/Elements-Statistical-Learning-Prediction-Statistics/dp/0387848576/  統(tǒng)計(jì)學(xué)習(xí)的元素

http://www.amazon.com/Counterfactuals-Causal-Inference-Principles-Analytical/dp/0521671930/  與事實(shí)相反的因果推理

http://infolab./~ullman/mmds/book.pdf  挖掘海量數(shù)據(jù)集

http://www.amazon.com/Data-Analysis-Learned-Probability-Statistics/dp/1118010647 數(shù)據(jù)分析：從近50年來(lái)可以學(xué)到什么

http://www.amazon.com/Bias-Causation-Comparisons-Probability-Statistics/dp/0470286393  偏見(jiàn)和因果關(guān)系

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

http://www.amazon.com/Probably-Not-Prediction-Probability-Statistical/dp/0470184019 可能不會(huì)

http://www.amazon.com/Statistics-Principled-Argument-Robert-Abelson/dp/0805805281/  統(tǒng)計(jì)原則上的爭(zhēng)論

http://www.amazon.com/gp/product/0691057826/  數(shù)據(jù)分析的實(shí)踐

視頻

http://www./talks/lies_damned_lies_and_statistics_about_tedtalks.html  謊言，該死的謊言和統(tǒng)計(jì)數(shù)據(jù)

http://www./videos/the-joy-of-stats/  喜的統(tǒng)計(jì)資料

http://datajournalism./  新聞中的年齡數(shù)據(jù)