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Oct 31, 2024
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DSA 001: Foundations of Data Science & Analytics
Units: 4
Introduces the data-for-decision-making paradigm through the lens of the Wolfram computing suite – comprised of WolframAlpha, the Mathematica language, and computable notebooks. Lectures introduce methods and best practices of data collection, integration and visualization, together reinforced via team exercises drawing on real-world domains. To facilitate explorative autodidactic learning, students will learn how to self-instruct new coding skills by using Mathematica Document Center ‘help pages’ in conjunction with myriad open coding demonstrations.
Course Details
Repeats Allowed for Credit: 0
Crosslisted with: MIST 060
Laboratory included
Normal Letter Grade only
Requisites and Restrictions
Instructor Permission Required: No
Students should have their own laptop, otherwise they will be required to use the computer labs to complete assignments.
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