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| CS 88 |
| Foundations of Data Science |
| Description: | In this course, students will study the Foundations of Data Science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design. |
| Recommended Preparation: | Course Completion of CS 81.41A and one of the following MATH courses (MATH 15, MATH 1A, MATH 4) or equivalent |
| Transferability: | CSU |
| Repeatability: | Two Repeats if Grade was D, F, NC, or NP |
| Grading Type: | Grade or P/NP |
| Sections listed are for Fall 2024 |
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