Carnegie Mellon's Joel B. Greenhouse Says Statistical Thinking is the Bedrock of Data Science

Jul 29, 2013, 11:48 ET from Carnegie Mellon University

PITTSBURGH, July 29, 2013 /PRNewswire-USNewswire/ -- Recent articles in the Harvard Business Review and New York Times have suggested that the onslaught of "Big Data" has created a new discipline they call data science and a need for specialized data scientists. They even claim that no universities are currently addressing this need with academic programs.

Carnegie Mellon University's Joel B. Greenhouse dismisses that data science is a new field by pointing out that statisticians have been conducting collaborative research, designing studies, analyzing data and developing new statistical theory for massive amounts of data for decades. For example, CMU's Department of Statistics, has been making contributions in Big Data applications, such as genomics, astronomy and finance.

Greenhouse, professor of statistics and director of the master's in statistical practice program, elaborates on how statistical thinking is the bedrock of data science in a new blog post for the American Statistical Association (ASA) in the Huffington Post.

Greenhouse writes, "Although the problems of generating and managing massive amounts of data are relatively new, methods for analyzing and making sense of such data, what some would now like to call 'data science,' are quite old and the domain of statistical science."

He continues, "Good statistical thinking requires a nontrivial understanding of the real-world problem and the population for whom the research question is relevant. It involves judgments such as those about the relevance and representativeness of the data, about whether the underlying model assumptions are valid for the data at hand and about causality and the role of confounding variables as possible alternative explanations for observed results. Finally, an essential component of good statistical thinking is the ability to interpret and communicate the results of a statistical analysis so nonstatisticians can understand the findings."

Greenhouse is an elected Fellow of the American Statistical Association and American Association for the Advancement of Science. Read the full article at

About Carnegie Mellon University: Carnegie Mellon ( is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university's seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon has campuses in Pittsburgh, Pa., California's Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico. The university recently completed "Inspire Innovation: The Campaign for Carnegie Mellon University," exceeding its $1 billion goal to build its endowment, support faculty, students and innovative research, and enhance the physical campus with equipment and facility improvements. The campaign closed June 30, 2013.

SOURCE Carnegie Mellon University