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Feb 17, 2025
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2019-2020 Catalog [ARCHIVED CATALOG]
Data Science
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Sequence Requirements
The sequence in data science requires 6 courses, distributed as follows: 1. Python (1 course)
An introductory course in programming in Python. Courses at The Claremont Colleges that satisfy this requirement include: 2. Data Science Principles (1 course)
3. Statistics (1 course)
One course selected from: Learning Goals and Student Learning Outcomes of the Data Science Program
Learning Goals
The Data Science sequence presents students with the opportunity to: - Analyze data from a variety of disciplines and present its inherent features.
- Predict outcomes of data processes or generate forecasts.
- Work with computer programs, statistical packages, and data management programs.
- Devise methodologies to turn data information into valuable insights.
Student Learning Outcomes
Students who complete the sequence will be able to: - Analyze data and present its inherent features.
- Have a working knowledge of advanced data analysis using a variety of platforms.
- Work with commonly used statistical packages and programming languages (for example R, STATA, SPSS, Python, SQL) used in research, government, nonprofit organizations, and industry.
- Make informed predictions, test theories, and evaluate policies.
- Communicate the results of such analyses to all stakeholders.
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