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Nov 24, 2024
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2021-2022 Catalog [ARCHIVED CATALOG]
Data Science Sequence
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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)
One course selected from:
3. Statistics (1 course)
One course selected from:
4. Electives (2 courses)
Two approved electives, at least one of which must be from Group B.
Group A
These are intermediate courses that require a quantitative or statistical skills prerequisite.
Psychology
- PSYC143 SC - Advanced Statistics I
- Any two of PSYC308B CG - ANOVA (1/2 credit), PSYC308C CG - Applied Multiple Regression (1/2 credit), PSYC308D CG - Categorical Data Analysis (1/2 credit)
Group B
These courses are more advanced and generally require an intermediate quantitative course as a prerequisite.
5. Capstone (1 course)
One course selected from:
Note:
- Students may not pursue the data science major and the data science sequence.
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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