In December 2014 I wrote a post titled Finding the elusive big wisdom in big data. We have made big advances since then in storing, processing and generally handling large volumes of data in a digital ...

A typical journal article contains the results of only one analysis pipeline, by one set of analysts. Even in the best of circumstances, there is reason to think that judicious alternative analyses ...

Developing predictive models for strategic management of credit risk based on large-scale customer databases; Bayesian statistical analysis for product and process design optimization based on finite ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...

In recent years, the NBA has seen big changes in how teams approach and strategize their games. These changes are mostly due to the use of analytics, which involves using advanced statistical analysis ...

In a battle of the balance sheets, the black and white language of ROI is moving business forward. According to Bain & Company, forward thinking oil and gas teams that explore new and more advanced ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

SPSS this week is releasing PASW Statistics 18, a new version of the application formerly known as SPSS Statistics, the statistics application suite for academic, government, and enterprise ...

SPSS is the name of a series of software packages used for data analysis. Its main selling point is that it allows scientific researchers, teachers and students to quickly analyze data without needing ...