“The goal is to turn data into information, and information into insight.”
“Data is the new science. Big data holds the answers.”
“Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world.”
“You can have data without information, but you cannot have information without data.”
“Information is the oil of the 21st century, and analytics is the combustion engine.”
I keep saying that the sexy job in the next 10 years will be statisticians. And I’m not kidding.”
"Data scientist is just a sexed up word for statistician."
"Data scientists are statisticians because being a statistician is awesome and anyone who does cool things with data is a statistician."
"Data scientists are involved with gathering data, massaging it into a tractable form, making it tell its story, and presenting that story to others."
“Think analytically, rigorously, and systematically about a business problem and come up with a solution that leverages the available data.”
"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."
"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."
"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."
"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."
"The data scientist was called, only half-jokingly, 'a caped superhero.'"
"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."
"Autodidacts – the self-taught, uncredentialed, data-passionate people – will come to play a significant role in many organizations’ data science initiatives."
“Statistics are ubiquitous in life, and so should be statistical reasoning.”