by Angela Guess Hannah Augur recently put together a guide in Dataconomy of some of the most basic business data terminology for non-tech execs and others new to the wide world of data. Her guide begins with “Algorithms: Mathematical formulas or statistical processes used to analyze data. These are used in software to process and […]
Data Science Education at NCSU: Education with a Mission
The Master of Science in Analytics (MSA) at North Carolina State University (NCSU) is one of the oldest Data Science degrees in the country. The program began in 2007, with the school’s Institute for Advanced Analytics focused on supporting the success of its students. A presentation about the program at the school sets its ambitions […]
Infographic: Business Analytics v. Data Science
by Angela Guess The Kogod School of Business at American University recently put together an infographic comparing careers in business analytics with careers in Data Science. Phil Simon writes, “Not too long ago, The Harvard Business Review dubbed data scientist ‘the sexiest job of the 21st century.’ What’s more, McKinsey reported that the United States […]
Fighting Human Trafficking with Data Science
by Angela Guess Hannah Augur reports in Dataconomy.com, “Finding missing children and unraveling the complex web of human trafficking is no easy task. The relevant datasets are massive and often unstandardized. It can be difficult to find the right data at all, as it often disappears from websites and pages on a regular basis. When […]
3 Ways to Avoid Disappointment with Data Science Projects
by Angela Guess Sergo Grigalashvili recently wrote in The Enterprisers Project, “You know the old saying: ‘lies, damned lies, and statistics.’ The same can be said about data science broadly. We can easily, by mistake or not, say or imply something using numbers that are not there in reality; predictive models can be good on […]
How Cognitive Data Science Can Cure the Talent Shortage
Click here to learn more about author Sundeep Sanghavi. The Internet of Things and its interconnected approach has led to an overwhelming explosion of big data. About 6.4 billion connected devices are already in use today, and Gartner expects that number to reach 20.8 billion by 2020. This growth is big business; it’s estimated that […]
3 Strategies for a Data Science Breakthrough
by Angela Guess John Weathington recently wrote in TechRepublic, “There’s no reason for a data scientist to don a white coat or play with beakers. In practice they should be an integral part of your corporate strategy, driving forward the development of your next innovation. The idea of stashing data scientists away in a data […]
Vetting the Actual Science Behind Data Science
Click here to learn more about author James Kobielus. Everybody wants to rule the world–or, at the very least, discover the fundamental rules that rule the world. That’s why we have scientists. Statistical models are the heart of most scientific inquiry. In business applications, for example, data scientists often work with behavioral data that is […]
Data Science, Witchcraft, and Cookbooks
by Angela Guess Yasmeen Ahmad of Teradata recently wrote in Forbes, “Trying to explain what I do to friends and family can be difficult. They’re intrigued by the title. Data Scientist. But ‘what does it mean, exactly?’ Invariably, the mystery deepens as puzzlers wrestle with the idea of a data and science mash-up. And as […]
The Business Benefits of Deep Learning
Over the past several years, the global Data Science community has watched the rise and steady penetration of such concepts as neural networks, Deep Learning, and back propagation. As research in Artificial Intelligence continues to evolve, an increasing interest in Neural Networks and Deep Learning has caught the fancy of worldwide business owners and operators. […]