Data Analysis
What is Data Analysis?
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Data Analysis at Hamilton
LITS offers comprehensive consultation services to all Hamilton community members with their instruction and research efforts in data analysis.
- We help faculty and staff identify, develop, and deliver curricular activities equipping students with data competencies.
- We support student learning by holding data science workshops, curating and developing learning modules, and offering one-on-one consultations.
- We collaborate with students and faculty on their research projects.
- We manage the Data Science Tutor program as a special track of our Research Tutor program. The tutors receive data science training tailored to their interests from us, assist their peers with the use of data analysis tools and methodologies, and collaborate on data analysis projects.
- Using Citrix
Citrix allows Hamilton students, faculty, and staff to open a virtual Windows computer on their personal computers securely from anywhere (on and off-campus; without VPN) for running statistical software and managing content.
- R
This learning module explores R, a programming language for statistical computing and graphics. Upon completing the module you will be able to:- Understand the RStudio Interface, R file types, and R Markdown document format.
- Conduct basic data wrangling and visualization using R.
- Stata
This learning module introduces Stata 16 through videos, examples, exercises, and general resources. Upon completing the module you will be able to:- Understand the Stata Interface and file types.
- Conduct basic to intermediate data wrangling and visualization using Stata.
- Conduct basic to intermediate quantitative analyses using Stata.
- Citrix
- Microsoft Excel
- Qualtrics
- R
- SPSS
- Stata
Visit the TECH Tools page for additional information.
- Courses Supported by R&ID
Use the course support drop-down menu on the Research and Instructional Design team's teaching and learning page for information on recent courses that included a digital assignment supported by R&ID.
- Hamilton College Course Catalog
Search courses and descriptions for mentions of digital capabilities.
- Hamilton College Academic Programs
Browse information on academic programs to find disciplines with a digital focus.
- Advancing Data Curation and Archiving in the Geosciences (2020)
Learn More
- Isabel Cárdenas-Navia and Brian K. Fitzgerald, “The Broad Application of Data Science and Analytics: Essential Tools for the Liberal Arts Graduate,” Change: The Magazine of Higher Learning 47, no. 4 (2015): 25-32. DOI: 10.1080/00091383.2015.1053754. Link to article
- Ben Daniel, “Big Data and Analytics in Higher Education: Opportunities and Challenges,” British Journal of Educational Technology 46, no. 5 (2015) 904-920. DOI: 10.1111/bjet.12230. Link to article
- National Academies of Sciences, Engineering, and Medicine, Data Science for Undergraduates: Opportunities and Options (Washington, DC: National Academies Press, 2018). DOI: 10.17226/25104. Link to book
Contact
TECH Lab
Office Location
Burke Library
Webpage
