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Data Analysis

We help students and researchers organize, analyze, interpret, and present your quantitative, or qualitative data.

We support these software packages:


R provides a wide variety of statistical and graphical techniques and is highly extensible. Statistical techniques available include linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering. R is available for free an complies with a wide variety of UNIX platforms, Windows, and MacOS.


SAS can manage, view, and analyze complex data in a variety of formats. SAS can help you calculate descriptive statistics, cross-tabulation, regression, analysis of variance, survival analysis, multivariate techniques, econometric and time series procedures, operations research techniques.


SPSS is used for statistical analysis. It has a point-and-click interface making it easy to use. It can perform a wide range of analysis including descriptive statistics, analysis of variance, linear regression.


Stata a general-purpose statistical software package used by many businesses and academic institutions around the world. Stata's capabilities include data management, statistical analysis, graphics simulations, custom programming.


Nvivo is a qualitative data analysis (QDA) computer software package. It is designed for qualitative researchers working with very rich text-based and/or multimedia information, where deep levels of analysis on small or large volumes of data are required.

Services for faculty & instructors

We can support your teaching with:

  • In-class instruction on using any of the software packages listed above.

Get assistance

Need help acquiring or installing software? Visit the Computing and Communication Services (CCS) supported products page.

Connect with us to ask a question or to book an appointment. Learn more about our appointments

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