Data Intelligence: Modern Data Science Methods
SML 301
1244
1244
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This course provides the training for students to be independent in modern data analysis. The course emphasizes the rigorous treatment of data and the programming skills and conceptual understanding required for dealing with modern datasets. The course examines data analysis through the lens of statistics and machine learning methods. Students verify their understanding by working with real datasets. The course also covers supporting topics such as experiment design, ethical data use, best practices for statistical and machine learning methods, reproducible research, writing a quantitative research paper, and presenting research results.
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Section L01
- Type: Lecture
- Section: L01
- Status: C
- Enrollment: 33
- Capacity: 32
- Class Number: 42251
- Schedule: MW 11:00 AM-12:20 PM - Green Hall 0-S-9
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 19
- Capacity: 20
- Class Number: 42252
- Schedule: Th 03:00 PM-04:20 PM - Green Hall 1-C-4C
Section P03
- Type: Precept
- Section: P03
- Status: O
- Enrollment: 14
- Capacity: 20
- Class Number: 42253
- Schedule: W 07:30 PM-08:50 PM - Bendheim House 103