информационные технологии(Data science professionals can take large sets of raw data, revise it, and analyze it to reveal actionable insights. Prevalent in industries like finance, health care, and technology.fortune.comAlex_Odeychuk)
айтишка(Data science professionals can take large sets of raw data, revise it, and analyze it to reveal actionable insights. Prevalent in industries like finance, health care, and technology, this role is especially useful for its ability to take data that was once incomprehensible and turn it into something constructive. Information is data with meaning, and that’s the job of a data scientist—get the data to be meaningful.fortune.comAlex_Odeychuk)
техника(означает все знания или неотъемлемую часть знаний о: научных принципах или открытиях; промышленных процессах; материальных и энергетических ресурсах; средствах транспорта и связи, постольку, поскольку эти знания непосредственно касаются развития производства товаров или сферы услуг; документы ЮНЕСКО)
айтя(Data science professionals can take large sets of raw data, revise it, and analyze it to reveal actionable insights. Prevalent in industries like finance, health care, and technology, this role is especially useful for its ability to take data that was once incomprehensible and turn it into something constructive.fortune.comAlex_Odeychuk)
fortune.com Alex_Odeychuk)