Register today for our Generative AI Foundations course. Use code GenAI99 for a discount price of $99!
Skip to content

Quotes about Data Science

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former CEO, Hewlett-Packard Co. Speech given at Oracle OpenWorld

“Data is the new science. Big data holds the answers.” – Pat Gelsinger, CEO, EMC, Big Bets on Big Data, Forbes“Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world.” – Atul Butte, Stanford

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran, Programmer and science fiction writer

“Information is the oil of the 21st century, and analytics is the combustion engine.” – Peter Sondergaard, SVP, Gartner Research. Speech given at Gartner Symposium/ITxpo

“I keep saying that the sexy job in the next 10 years will be statisticians. And I’m not kidding.” – Hal Varian, Chief Economist, Google. For Today’s Graduate, Just One Word: Statistics, NYTimes

“Data scientist is just a sexed up word for statistician.”  – Nate Silver, editor-in-chief of ESPN’s FiveThirtyEight blog and a Special Correspondent for ABC News. Invited address at Joint Statistical Meeting(JSM) in Montreal

“Data scientists are statisticians because being a statistician is awesome and anyone who does cool things with data is a statistician.” – Robert Rodriguez, President, American Statistical Association and senior director of statistical research and development at SAS Institute. Speech at Joint Statistical Meeting (JSM) in San Diego

“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. What is data science?

“Think analytically, rigorously, and systematically about a business problem and come up with a solution that leverages the available data.” –  Michael O’Connell, Sr. Director of Analytics, TIBCO, What Is a Data Scientist?: Michael O’Connell of TIBCO Spotfire, Forbes

“By definition all scientists are data scientists. In my opinion, they are half hacker, half analyst, they use data to build products and find insights.”- Monica Rogati,  VP for Data, Jawbone. LinkedIn’s Monica Rogati On “What Is a Data Scientist?”, Forbes

“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, Data Scientist, Accel, Scientist Emeritus, bitly, co-founder, HackNY. LinkedIn’s Daniel Tunkelang On “What Is a Data Scientist?”, Forbes

“A significant constraint on realizing value from Big Data will be a shortage of talent, particularly of people with deep expertise in statistics and machine learning, and the managers and analysts who know how to operate companies by using insights from Big Data.” Big data: The next frontier for innovation, competition, and productivity, McKinsey report

“We project a need for 1.5 million additional managers and analysts in the United States who can ask the right questions and consume the results of the analysis of Big Data effectively.” Big data: The next frontier for innovation, competition, and productivity, McKinsey report

“The data scientist was called, only half-jokingly, ‘a caped superhero.'” Ben Rooney, Big Data’s Big Problem: Little Talent, Wall Street Journal

“By 2018 the United States will experience a shortage of 190,000 skilled data scientists, and 1.5 million managers and analysts capable of reaping actionable insights from the big data deluge.”- Game changers: Five opportunities for US growth and renewal, McKinsey report

“Autodidacts – the self-taught, uncredentialed, data-passionate people – will come to play a significant role in many organizations’ data science initiatives.” Neil Raden, CEO & Principal Analyst, Hired Brains Research

“Statistics are ubiquitous in life, and so should be statistical reasoning.” Alan Blinder, former Federal Reserve vice chairman and Princeton academic.  Inside the List, NYTimes