Data has permeated higher education in a lot of different ways. Experts have emphasized the continued need to analyze data to determine the success of programs and initiatives. But with the Internet of Things advancing into a variety of aspects of campus life, higher education institution stakeholders now have an immense amount of data at their fingertips, which can be drawn from to make better decisions.
Businesses increasingly rely on data analytics to inform everything from daily operations to customer service to marketing initiatives. As a result, data science has become a hot skill in high demand across a broad range of industries. And bootcamps are great way to hone data science skills, get up to speed on the latest data science trends, shift your career path or create greater job security within your industry.
Gilberto Titericz, an electrical engineer at Brazil’s state oil company Petrobras, told his boss he planned to resign, after seven years maintaining sensors and other hardware in oil plants. By devoting hundreds of hours of leisure time to the obscure world of competitive data analysis, Titericz had recently become the world’s top-ranked data scientist, by one reckoning. Silicon Valley was calling. “Only when I wanted to quit did they realize they had the number-one data scientist,” he says.
No matter how the case is decided, there are potential negative implications for U.S. competitiveness. If the court supports the use of search warrants to obtain data stored abroad, it will feed the perception that the best way to protect data from the prying eyes of the U.S. government is to store it abroad with a non-U.S. provider. On the other hand, if the court rules that search warrants cannot be used overseas, foreign governments may try to force companies to store data within their borders to make it impossible for U.S. officials to execute a search warrant. This also damages U.S.
University of Washington (UW) researchers have developed a low-cost, long-range data-communication system that could make it possible for medical sensors or billions of low-cost “internet of things” objects to connect via radio signals at long distances (up to 2.8 kilometers) and with 1000 times lower required power (9.25 microwatts in an experiment) compared to existing technologies.
The National Science Foundation (NSF) today (8/24) announced $17.7 million in funding for 12 Transdisciplinary Research in Principles of Data Science (TRIPODS) projects, which will bring together the statistics, mathematics and theoretical computer science communities to develop the foundations of data science. Conducted at 14 institutions in 11 states, these projects will promote long-term research and training activities in data science that transcend disciplinary boundaries.
Though there may have once been a legitimate justification for restrictively licensing this data, failing to make it freely available online not only contradicts federal open data policy, but also goes against NIST’s stated objective of driving innovation by increasing the accessibility of taxpayer-funded
Some of the earliest computers relied upon tape drives for storage, but we’ve since moved on to faster and more versatile storage technologies. Still, tape drives continue to exist in enterprise, and they’ve been advancing by leaps and bounds while you haven’t been paying attention.
It’s well-known that women are drastically underrepresented in the fields of science and technology. This gender imbalance extends to data science roles as well. Women hold only about 26% of data jobs in the United States.
Despite the potential for innovative uses of data to dramatically transform K-12 education in the United States for the better, time and time again, promising efforts to improve how the education system uses data are met with contentious opposition. Parents understandably value the privacy of their children and thus are sensitive to programs that collect and analyze student data.