Principles of Data Science I
New York University · NY · DS-UA111
Principles of Data Science I is a subject at New York University, NY. It covers topics like data-analytics, data-mining, data-science, statistical-learning. It is part of 7 degrees. The information below is compiled from public course material — approximate, not official.
New York University
DS-UA111
3.00
Topics covered
Degrees that include Principles of Data Science I
- Computer and Data Science (BA)
- Computer Science (BA)
- Data Science and Mathematics (BA)
- Data Science (BA)
- Data Science (Minor)
- Interdisciplinary Data Science and Artificial Intelligence (MS)
- Neural Science (BS)
Frequently asked questions
What is Principles of Data Science I about?
Principles of Data Science I covers topics like data-analytics, data-mining, data-science, statistical-learning.
Which degrees include Principles of Data Science I?
Principles of Data Science I is part of 7 degrees, including Computer and Data Science (BA), Computer Science (BA), Data Science and Mathematics (BA), Data Science (BA), Data Science (Minor).
How many credit points is Principles of Data Science I?
Principles of Data Science I at New York University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Principles of Data Science I taught?
Principles of Data Science I is taught at New York University, NY.
Studying Principles of Data Science I?
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Sources: New York University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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