Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify ...

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 ...

According to data management and statistical analysis professionals like DMSA, job performance data must be clearly defined and discussed with employees if the data is to have any value for analysis ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

The principle goal is to develop robust methods that address the problem of reverse engineering data in charts in scientific documents to enable access to the underlying quantitative information not ...

The Center for Statistics and Advanced Analytics provides support to Boston College researchers related to the collection and the analysis of data. Our team includes statisticians and other data ...

Fundamental analysis tries to determine value and estimate the future market price based on a stock's underlying fundamentals. Technical analysis relies on charts to forecast prices. The goal of ...