Based in The Hurt Hub@Davidson, Data CATS supports students, faculty and staff in data analytics work. We’re here to answer all your data analytics and statistics questions. From class assignments to research to business analytics, our services are free for Davidson students, faculty, and staff, and on a contract basis with local companies. We can help at any stage of your research or project, from translating ideas into data-focused questions to collecting, organizing, analyzing, visualizing, and interpreting data.
Sunday – Thursday, 2 – 4 pm and 7 – 9 pm
Location: The Hurt Hub, Forest Systems Room (212)
Drop-in tutoring sessions and consulting available onsite during office hours.
Experienced faculty student consultants are available to tutor across a wide range of data science topics and software, especially data analytics, data visualization, and building dashboards.
Specializes in International Trade, International Migration, Macroeconomics, Simulation Modeling, and Economics and Ethics. I love to foster critical thinking in and out of the classroom and I host Econversations – a weekly informal discussion forum that takes a deep dive into economics-related topics.
Available: Tuesday 2-4p
Specializes in Combinatorial Optimization, Experimental Mathematics, and Operations Research. I consider myself a dedicated educational guide and am committed to active learning and collaboration as well as diversity and inclusion.
Available: Wednesdays 2:30-4p
Specializes in European Politics and International Relations. I teach a variety of courses at Davidson, including Research Methods in Political Science. I am happy to help you with research design, data analysis, and visualization. In terms of software, I am most comfortable with Stata.
Available: Thursdays 2-4p
Specializes in data analysis, data visualization and scientific research. Most proficient in Python and JavaScript.
Specializes in data analysis and data visualization. Proficient in Python, Power BI, and R with additional knowledge about databases and other programming languages.
Specializes in data engineering — data scraping, automated data collection, APIs, databases, data lake, cloud technologies, git, GitHub, machine learning, some deep learning. Software: python, BI, SQL, git, Excel, and very basic R.
Specializes in data science, data analysis, data visualization, and scientific research. Proficient in Python, Excel, LaTeX.
Specializes in statistical data analysis and econometrics with proficient experience in Stata and R tidyverse.
Specializes in data analysis. Most proficient in Python and R.
Specializes in Python and Excel, and have a decent amount of exposure to reinforcement learning and Jupyter lab as well.
Specializes in modeling and data analysis. Most proficient in Python data libraries, JavaScript/TypeScript, with knowledge in R, Excel, and Julia.
Specializes in Excel and Python, special interest in cyber security and automation.
Specializes in data analysis, scientific research and computational physics. Most proficient in Python.
Specializes in data analysis, data models, and data visualization. Most proficient in R with sufficient knowledge in Excel and Python as well.
Specializes in data visualization using D3 and javascript. I am also familiar with Java, Python, C++. And I can do data analysis using machine learning skills supported by sklearn package of python.
Specializes in statistics, data analysis, and data visualization. Most proficient in Python, R, Excel, SQL and D3.js.
Specializes in data analysis and data visualization. Most proficient in JavaScript, Python and C++.
My interests are in bioinformatics and data science for social justice. I have expertise in probability and statistics, mathematical modeling, data visualization and cluster analysis. I work primarily in R and Python.
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