Consulting, Analytics, Tutoring Services

Based in The Hurt Hub@Davidson, Data CATS supports students, faculty and staff in data analytics work. Data CATS can help students and faculty at any stage of an assignment or project, from translating ideas into data-focused questions, to collecting, organizing, analyzing, visualizing, and interpreting data. Services are free for Davidson students, faculty, and staff, and on a contract basis with local companies.

Location and Hours

Remotely on Zoom, by appointment. Submit a request for a student consultant , or contact one of our faculty consultants directly at the links below. 

Contact

Faculty in Residence of The Hurt Hub: Laurie Heyer, John T. Kimbrough Professor of Mathematics (laheyer@davidson.edu)

Faculty Consultants

Photo Professor Short Bio
Besir Ceka headshot

Besir Ceka

Associate Professor of Political Science

I can help students and clients with various aspects of working with data including research design, regression analysis, descriptive statistics, graphical presentation of data etc. I am most comfortable in Stata and have some experience with R.
Schedule an appointment
Send me an email


Mark Foley

Mark Foley

Professor of Economics

I am eager to advise and help with numerous aspects of quantitative analysis, including formulating a specific, feasible research question, research design, data cleaning and organization, data visualization, and estimation techniques for causal inference.  I am most proficient in STATA with some experience in SAS. 
Email me to make an appointment 


Brian Eiler headshot

Brian Eiler

Assistant Professor of Psychology

I am a translational quantitative psychologist with expertise in using a complexity science to answer questions at the intersection of psychology (social, health, organizational typically), physics, computer science, sociology, and biology. I can help with formalism (i.e., How do I measure this? What math should I use on data I have?) and the assumptions that constrain measurement (i.e., If I measure it this way, what can I say from the data? What does my data tell me?) across disciplines and in organizations, broadly speaking. Computationally, I most often use R/RStudio, MATLAB, JAMOVI, SPSS, and NetLogo to implement inferential statistics, networks (social network analysis, computational networks), natural language processing, dynamical systems modeling, and agent-based modeling. I have a good grasp on many available tools so I am a good first point of contact early in the research design or analysis process. If I can’t help, we will find someone who can.
Schedule an appointment
Send me an email


Raghu Ramanujan Headshot

Raghu Ramanujan

Associate Professor of Mathematics and Computer Science

I am a computer scientist with research interests in machine learning and artificial intelligence. I can help students and other clients understand at a conceptual level how machine learning algorithms work, how to get the most out of them, and notable pitfalls to avoid. I’m intimately familiar with the Python language, and can assist you with general programming issues, as well as specific questions about some of the most popular libraries in the data science stack — numpy, pandas, scikit-learn, tensorflow and matplotlib. I also have experience with harvesting and cleaning data from the web, using APIs and web scraping tools.
Schedule an appointment
Send me an email