CS 3870 A (CRN: 12885)
Computer Science: Data Science I - Pinnacle
3 Credit Hours
For crosslists see: STAT 3870 A
About CS 3870 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; Project-based. Prerequisites: CS 1210; STAT 1410 or STAT 2430; CS 2100 and MATH 2522 or MATH 2544 recommended. Cross-listed with: STAT 3870.
Notes
Prereqs enforced by the system: CS 1210 and STAT 1410 or 2430; CS 2100 and MATH 2544 recommended; Cross listed with STAT 3870 A ; Total combined enrollment: 40 Open to Degree and PACE students
Section Description
After completing this hands-on project-based course (in python) students will be able to: harvest, store, and clean data; analyze data with existing methods such as descriptive statistics and visualizations; develop new, problem-specific measures to explore trends and features in data; automate data science procedures with computer programs; and communicate data-driven results.
Important Dates
Note: These dates may change before registration begins.
Note: These dates may not be accurate for select courses during the Summer Session.
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Resources
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Interest Form
CS 3870 A is closed to new enrollment.
But we can remind you a few days before the next term opens. You can also see what terms are enrolling currently.