STATS 6
Introduction to Data Science
Introduces the full data cycle. Topics include data collection and retrieval, data cleaning, exploratory analysis and visualization, introduction to statistical modeling, inference, and communicating findings. Applications include real data from a wide-range of fields with emphasis on understanding reproducible practices.
Topics
- data collection and retrieval
- data cleaning
- exploratory analysis and visualization
- introduction to statistical modeling
- inference
- and communicating findings
Topics explicitly listed in official catalogue description
Prerequisites & course information
Introduces the full data cycle. Topics include data collection and retrieval, data cleaning, exploratory analysis and visualization, introduction to statistical modeling, inference, and communicating findings. Applications include real data from a wide-range of fields with emphasis on understanding reproducible practices.
Sources
- Course catalogue ↗2026-2027