A new statistics challenge is taking college campuses by storm and engaging students in solving real-life Big Data problems more complex than those they are able to engage with in class.
big data
Quality and Productivity Section News
Quality and Productivity Section news for May 2014
Statistics Training: A Big Role in Big Data?
Lexin Li of North Carolina State University describes how two years in the Silicon Valley causes professor to wonder about statistics’ role in Big Data.
Renowned Speakers Featured at Business Analytics Day
The Business Analytics Group of the Louisiana Tech University College of Business hosted its first annual Business Analytics Day at the Louisiana Tech Shreveport Center on January 10. The focus of the Business Analytics Day was Big Data issues, and the conference featured a full slate of speakers who spoke about the value of data analytics and how participants could make the most of their data.
Call for Papers—Statistical Analysis of Big Data: A Special Issue of Technometrics
This special issue of Technometrics will publish original high-quality papers that deal with all aspects of the statistical analysis of Big Data.
Analytical Attire
Leanna House and Scotland Leman of Virginia Tech discuss how to change the perception of statistics and the role statistics has in future data science endeavors.
What? Me Worry? What to Do About Privacy, Big Data, and Statistical Research
Just as statistical scientists bring invaluable skills to Big Data from the perspective of data quality and analysis, they are essential from the privacy perspective, as well. In this guest column, Julia Lane and Victoria Stodden—chair and member of the ASA Privacy and Confidentiality Committee, respectively—discuss the complex privacy issues inherent in Big Data and outline the challenges to statistical scientists for addressing these issues.
We Are Data Science
Randy Bartlett advances the points that statisticians are already involved and must expand their involvement in business analytics, Big Data, data mining, data science, machine learning, and predictive modeling (analytics).
Where Does a Statistician Fit in the Big Data Era?
Andy Hoegh describes the essential skills residing in the four domains of the ideal modern statistician.
Toward a Vision: Official Statistics and Big Data
Cavan Capps and Tommy Wright of the U.S. Census Bureau share their thoughts about how Big Data can enhance official statistics.