STAT 5870 A (CRN: 13174)
Statistics: Data Science I (A)
3 credit hours
For crosslists see:
About STAT 5870 A
Data harvesting, cleaning, and summarizing; working with non-traditional, non-numeric data (social network, natural language textual data, etc.); scientific visualization; advanced data pipelines with a practical focus on real datasets and developing good habits for rigorous and reproducible computational science; Project-based. Credit not awarded for both STAT 5870 and STAT 3870. Prerequisites: Knowledge of CS 1210 and either STAT 1410 or STAT 2430 required; knowledge of CS 2100 and MATH 2522 or MATH 2544 recommended; Graduate student or Instructor permission. Cross-listed with: CSYS 5870, CS 5870.
Notes
Cross-listed with CS 5870 and CSYS 5870; Total combined enrollment: 40; Prereqs: Graduate student or instructor permission; Knowledge of CS 1210 & (STAT 1410 or STAT 2430) required; Knowledge of CS 2100 & (MATH 2522 or MATH 2544) recommended; PACE students with permission and override. System waitlisting enabled for this section
Syllabus Unavailable
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