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Class number:
3488
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Title: Special Topics: Data Analytics |
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Department: Computer Science |
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Career: Undergraduate |
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Component: Lecture |
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Session: Regular |
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Instructor's Permission Required: Yes |
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Grading Basis: Regular |
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Units: 1.00 |
| Enrollment limited to 24 |
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Current enrollment: 25 |
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Available seats: 0 |
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Start date: Tuesday, September 3, 2024 |
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End date: Wednesday, December 18, 2024 |
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Mode of Instruction: In Person |
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Schedule: M: 6:30PM-9:00PM, MECC - 220 |
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Instructor(s): Buly, Nick |
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Prerequisite(s): Prerequisite: C- or better in Computer Science 215. |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
Course Description:
A comprehensive introduction to data analytics, focusing on the essential techniques and tools used to analyze and interpret complex datasets. Students will learn how to collect, clean, and process data to extract meaningful insights and inform decision-making. The course covers various statistical methods, machine learning algorithms, visualization techniques, and data-focused programming. By the end of the course, students will have mastered a variety of tools and programming languages, enabling them to address real-world problems with data-driven solutions. |
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Course Syllabus:
view syllabus
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