STATISTICAL LEARNING FOR DATA SCIENCE
STATISTICAL LEARNING FOR DATA SCIENCE
2025 Fall Term
3 Units
Statistics 440
This course introduces the core statistical concepts for machine learning, including both supervised and unsupervised learning. Topics include classification, regression, clustering, and dimensionality reduction, with particular emphasis on the underlying mathematical principles. Practical implementation using Python is included, along with essential skills in data preprocessing, cleaning, and transformation to address real-world data challenges. By the end of the course, students will be able to analyze data sets, build predictive statistical models, and evaluate their performance.
Other Requirements: PREREQ: STAT 342 AND MATH 355
Class Schedule
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
| Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
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01-LEC 3411
3 Units
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09/02 - 12/06 (1) | TuTh 2:00 PM - 3:15 PM |
Charu Rajapaksha Pathiranage Dona
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