Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 402-DL : Research Design for Data Science
Description
This course introduces the scientific method and research design for data science. It distinguishes between primary and secondary research, drawing on survey, observational, and experimental studies. Students learn about sampling techniques and ways of obtaining relevant data. They see how to prepare data for modeling and analysis. They employ feature engineering, constructing new measures from original measures. They learn how to assess the reliability and validity of measures, construct valid research designs, and build trustworthy models. Numerous case studies illustrate rational decision making guided by science.
Prior to fall 2023, this course was titled "Data Science and Research Practice" and "Introduction to Data Science."
Prerequisites: None.
Fall 2024 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
09/24/24 - 12/14/24 | Sync Session M | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Bradley, Candice | Online | Open |
Spring 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
03/31/25 - 06/13/25 | Sync Session M | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Bradley, Candice | Online | Open |