Description
Basic concepts, principles, and tools used in data analytics. Coursework is primarily done in the R programming language. Prerequisite: MATH&141 with a 'C' or better.
Grading Basis
Graded
Prerequisites
MATH& 141 with a "C" (2) or better
Course Learning Outcomes
Core Topics
- Describe basic skills needed for data analysis
- Highlight key features of modern data (high-dimensionality, heterogeneity)
- Preprocessing data
- Conduct “Exploratory data analysis”
- Apply elementary supervised learning techniques
- Address generalization issues via model diagnostics and cross-validation (for supervised learning)
- Present results clearly
- Work in a data analytics project team