Data Science Tools and Applications

CT Score

1500

#0 of 0 in CAS CS

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CAS CS 108 or CAS CS 111; CAS CS 132 or CAS MA 242 or CAS MA 442. CAS CS 112 is recommended. - Covers practical skills in working with data and introduces a wide range of techniques that are commonly used in the analysis of data, such as clustering, classification, regression, and network analysis. Emphasizes hands-on application of methods via programming. Effective Fall 2019, this course fulfills a single unit in each of the following BU Hub areas: Research and Information Literacy, Teamwork/Collaboration→CAS CS 506→unlocks 0 courses

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