Analyzing Data

We offer consultations, collaborations, and training in data analysis using languages such as R and Python, and statistical environments like Stata, SPSS, SAS. We can help with quantitative, qualitative, and geospatial data analysis.


Data and Visualization workshops, offered every semester at a variety of skill levels.

Access LinkedIn Learning tutorials on data analysis topics:

R programming language

SPSS, SAS and Statistical Analysis

NVIVO and Qualitative Data Analysis

Python for Data Science

Python Programming


Access computers optimized for data-intensive work and equipped with software for data analysis like ArcGIS, Microsoft Power BI, Tableau, and SAS in the Hunt Dataspace and Hill Learning Commons.

Librarians can also help you create effective and well-designed visualizations.

Get Help

Consultations that provide individual support at your convenience.

Drop-in data science and visualization assistance at Hill and Hunt Libraries. Check the schedules for hours and topics:

Get Instruction Support

We offer data analysis and visualization instructional support for courses throughout the university.

Find & Clean Data

The library provides access to a wide range of data resources and services, including guides to finding census data, political and social science data, and geospatial data.

We can help you clean, enhance, and work with your data. Librarians are available to help with data modeling, data cleaning, data joining, and other tasks related to working with data.

Campus Data Analysis Services

NC State Statistics Department's Statistical Consulting Core

The Bioinformatics Research Center provides consulting for bioinformatics and statistical genetics