DATA6
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DATA 6 - Introduction to Computational Thinking with Data Science and Society
Course Title
Introduction to Computational Thinking with Data Science and Society
Course Description
This foundational Data Science course combines inferential and computational thinking as applied to the fundamentals of quantitative social inquiry. Apply critical concepts and skills in computer programming to conduct quantitative social science research in various contexts, including economic outcomes, public health, environmental justice, privacy, bioethics, and social networks. Understand the process of using data for quantitative analysis and how to develop a variety of figures, combined with text, to communicate their findings. The focus is on data exploration and identifying patterns relevant to social concepts, rather than inferences and predictions. The course can serve as a precursor to Data 8: Foundations of Data Science.
Minimum Units
4
Maximum Units
4
Grading Basis
Default Letter Grade; P/NP Option
Term
Fall and Spring
Lecture Hours
2
Mode of Instruction
In Person
Mode of Instruction
In Person
Laboratory Hours
2
Mode of Instruction
In Person
Term
Summer
Lecture Hours
6
Mode of Instruction
In Person, Online
Discussion Hours
2
Mode of Instruction
In Person, Online
Laboratory Hours
2
Mode of Instruction
In Person, Online