by Angela Guess Alex Woodie recently wrote in Datanami, “Shakespeare once pondered the nature of names, pointing out that ‘a rose by any other name would smell as sweet.’ For data scientists, the meaning behind the title is not just an epistemological exercise, but a practical problem that has consequences upon that delicate dance between […]
Data Science Education at Rutgers: A Business-Oriented Approach
Most students who study Data Science probably don’t want to become academics. They want to become working professionals who apply their analytical skills to solving real business problems. The professional master’s degree offered at Rutgers University, a Master of Business and Science in Analytics and Data Science, emphasizes both business studies and Data Science education […]
Crowdsourcing from Data Science Bowl Result in Heart Disease Diagnosis Algorithm
by Angela Guess A new article out of the companies reports, “With the close of the second annual Data Science Bowl, Booz Allen Hamilton and Kaggle proved yet again that crowdsourced solutions can be used to solve some of our world’s most complex problems. This year, the focus was on heart health – an issue of […]
The 3 Roles of a Data Scientist
by Angela Guess Ed Jones recently wrote in InfoQ, “Already crowned as the best job in America for 2016, the definition and skill set required to be a data scientist is in a constant state of flux… Dave Holtz writes that the title ‘data scientist’ is often used as a blanket title to describe a […]
Survey Shows Data Scientists Spend Most of Their Time Cleaning Data
by Angela Guess Gil Press reports in Forbes, “A new survey of data scientists found that they spend most of their time massaging rather than mining or modeling data. Still, most are happy with having the sexiest job of the 21st century. The survey of about 80 data scientists was conducted for the second year […]
Harnessing the Power of Your Collective in Data Governance and Data Science
Click to learn more about Kimberly Nevala. Emerging data solutions and trends have a common thread: the power of the collective in which the final product is bigger than the sum of its parts. Companies leading the data and analytics charge have recognized that the power of a collective applies to more than technology. They […]
Techniques and Algorithms in Data Science for Big Data
In simple terms, Big Data – when combined with Data Science – allow managers to measure and assess significantly more information about the subtleties of their businesses, and to use the information in making more intelligent decisions. In 2011, during the period when the growth of Big Data was really gaining significant notice throughout the […]
Top Tools Used By Data Scientists
by Angela Guess Andrew Rosenblum recently wrote in Business2Community, “You’ve read about many of the kinds of big data projects that you can use to learn more about your data in our What Can a Data Scientist Do for You? article—now, we’re going to take a look at tools that data scientists use to mine […]
How Much Time Do Data Scientists Spend Cleaning Data?
by Angela Guess Rick Delgado recently wrote in Dataconomy, “You probably had some big ideas in mind when you first started thinking about adopting big data solutions for your business… Hiring a qualified data science team is usually one of the first priorities, along with all the investment in equipment and technology needed to properly […]
Running Successful Data Science Projects
Companies pour a lot of effort into the Business Intelligence and Analytics (BI/A). In late 2013, Gartner predicted that the importance of BI/A projects for CIOs will continue to grow well into 2017 and beyond. Despite all the effort and attention on analytics though, companies are still struggling to succeed with Big Data. In a […]