幾年前，哈佛商業(yè)評(píng)論說數(shù)據(jù)科學(xué)家的是“二十一世紀(jì)最性感的工作”。但你知道做一個(gè)數(shù)據(jù)科學(xué)家意味著什么嗎？來，我們先看看這些數(shù)據(jù)科學(xué)專家的名言。

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Data scientists “tend to be “hard scientists”, particularly physicists, rather than computer science majors. Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. They have to think about the big picture, the big problem – DJ Patil, VP of Product at RelateIQ

“數(shù)據(jù)科學(xué)家更傾向于是’硬科學(xué)家’ ，相對(duì)于計(jì)算機(jī)專業(yè)的，他們更像物理學(xué)家。物理學(xué)家有強(qiáng)硬的數(shù)學(xué)背景，計(jì)算機(jī)技能，并且來自一個(gè)靠數(shù)據(jù)吃飯的領(lǐng)域。他們需要從整體的角度思考，考慮比較宏大的問題。”–DJ Patil, Product at RelateIQ的副總裁

“They need to find nuggets of truth in data and then explain it to the Business leaders” – Rchard Snee Emc – See more

“他們需要從數(shù)據(jù)中找到有用的真相，然后解釋給領(lǐng)導(dǎo)者。” – Rchard Snee Emc

“A data scientist is someone who knows more statistics than a computer scientist and more Computer science than a statistician” – Josh Blumenstock

“數(shù)據(jù)科學(xué)家是一個(gè)比計(jì)算機(jī)科學(xué)家懂更多統(tǒng)計(jì)學(xué)，比統(tǒng)計(jì)學(xué)家懂更多計(jì)算機(jī)科學(xué)的人。” – Josh Blumenstock

“Data scientist is just a sexed up word for a statistician” – Nate Silver

“數(shù)據(jù)科學(xué)家只是‘統(tǒng)計(jì)學(xué)家’一個(gè)性感一些的名字。 ”– Nate Silver

“Data scientists are involved with gathering data, massaging it into a tractable form, making it tell its story, and presenting that story to others” – Mike Loukides, VP, O’Reilly Media

“數(shù)據(jù)科學(xué)家收集數(shù)據(jù)，把數(shù)據(jù)融入到易懂的形式中，讓數(shù)據(jù)講故事，并且把故事講給別人聽。”–Mike Loukides, O’Reilly Media的副總裁

“The data scientist was called, only half-jokingly, a caped superhero” – Ben Rooney

“數(shù)據(jù)科學(xué)家曾經(jīng)被譽(yù)為戴著披風(fēng)的超級(jí)英雄（當(dāng)然只是開個(gè)玩笑）” – Ben Rooney

“Think analytically, rigorously, and systematically about a business problem and come up with a solution that leverages the available data”

“用分析的角度、嚴(yán)格、系統(tǒng)地思考業(yè)務(wù)問題，然后得出能夠影響這些數(shù)據(jù)的解決方案。 ”– Michael O’Connell, TIBCO的高級(jí)分析總監(jiān)

“Data Scientist = statistician + programmer + coach + storyteller + artist”- Shlomo Aragmon

“數(shù)據(jù)科學(xué)家=統(tǒng)計(jì)學(xué)家+程序員+講故事的人+藝術(shù)家。“ – Shlomo Aragmon

“They are half hacker, half analyst, they use data to build products and find insights” – Monica Rogati

“他們一半是黑客，一半是分析師，他們用數(shù)據(jù)來做產(chǎn)品、提出新見解。“– Monica Rogati

“A data scientist is someone who can obtain, scrub, explore, model and interpret data, blending hacking, statistics and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product” – Hillary Mason, Founder at Fast Forward Labs

“數(shù)據(jù)科學(xué)家是懂得獲取、清洗、探索、建模、解釋數(shù)據(jù)的人，還要融合入侵技術(shù)、統(tǒng)計(jì)學(xué)和機(jī)器學(xué)習(xí)。數(shù)據(jù)科學(xué)家不僅要處理數(shù)據(jù)，還要把數(shù)據(jù)本身作為一個(gè)五星產(chǎn)品。”– Hillary Mason, Fast Forward Labs的創(chuàng)始人

現(xiàn)在，這里有個(gè)來自Drew Conway 有趣的圖表，它解釋了數(shù)據(jù)科學(xué)家到底意味著什么：

來看另一個(gè)簡(jiǎn)單的圖。這是我自己關(guān)于整個(gè)數(shù)據(jù)科學(xué)過程的描繪。

那么， 數(shù)據(jù)科學(xué)家都做些什么呢？簡(jiǎn)單來說，他收集數(shù)據(jù)、清洗、創(chuàng)建數(shù)據(jù)集、分析數(shù)據(jù)然后提出新觀點(diǎn)。他也嘗試用現(xiàn)有的數(shù)據(jù)預(yù)測(cè)未來，幫助業(yè)務(wù)提高產(chǎn)品、服務(wù)的質(zhì)量、顧客粘性。更好的質(zhì)量意味著更能取悅顧客、獲得收益。

這里有數(shù)據(jù)科學(xué)家最應(yīng)該具備三個(gè)的特質(zhì)：

1.一個(gè)優(yōu)秀的數(shù)據(jù)科學(xué)家知道如何提出好問題

2.理解他手上的數(shù)據(jù)的結(jié)構(gòu)

3.能夠很好地解讀這些數(shù)據(jù)

簡(jiǎn)單來說，數(shù)據(jù)科學(xué)就是關(guān)于提出合適的問題，然后提出有意義的見解來指導(dǎo)正確的決策。