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Institution:
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Shippensburg University of Pennsylvania
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Subject:
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Description:
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This is the first semester of a two-semester sequence in Data Science. Using real-world examples of wide interest and a popular programming language such as R or Python, we introduce methods for key facets of a data-driven investigation. These include obtaining data from a variety of sources, wrangling the data to get a manageable data set, exploratory data analysis to generate hypotheses and intuition about the data, and communication of results through interpretable summaries that are both transparent and reproducible.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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(CMSC 104, CMSC 110, ENGR 110, ENGR 120, ITAN 240, or SWEN 100) and (MATH 117 (Grade of C or Higher), MATH 217 (Grade of C or Higher), MATH 375 (Grade of C or Higher), or SCMG 200 (Grade of C or Higher))
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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This course is approved for distance education instruction. Distance education opportunities vary by semester. Please contact the university for more information.
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(717) 477-7447
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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