Statistics and Data Science
2026–2027
81 courses
- SDS 1600Introduction to Statistics
- SDS 1998Statistics and Data Science Elective: 100-Level
- SDS 2010Analytical Tools for Statistics and Data Science I
- SDS 2011Analytical Tools for Statistics and Data Science II
- SDS 2020Elementary Probability and Statistics
- SDS 2900Directed Research in Statistics and Data Science
- SDS 3020Elementary to Intermediate Statistics and Data Analysis
- SDS 3030Statistics for Data Science I
- SDS 3110Biostatistics
- SDS 3111Applied Linear Modeling
- SDS 3115Introduction to Computing For Statistical Sciences
- SDS 3996Statistics and Data Science Elective: 300-Level
- SDS 4000Undergraduate Independent Study
- SDS 4008Nonparametric Statistics
- SDS 4010Probability
- SDS 4020Mathematical Statistics
- SDS 4030Statistics for Data Science II
- SDS 4070Stochastic Processes
- SDS 4110Experimental Design
- SDS 4120Survival Analysis
- SDS 4130Linear Statistical Models
- SDS 4135Applied Statistics Practicum
- SDS 4140Advanced Linear Statistical Models
- SDS 4155Time Series Analysis
- SDS 4210Statistical Computation
- SDS 4215Python for Data Science
- SDS 4310Bayesian Statistics
- SDS 4425Data Mining Methods and Applications
- SDS 4430Statistical Learning
- SDS 4440Mathematical Foundations of Data Science
- SDS 4480Topics in Statistics
- SDS 4481Special Topics in Statistics and Data Science: An Introduction in Python
- SDS 4482Topics in Statistics
- SDS 4971Topics in Statistics: Data Mining
- SDS 4990Study for Honors
- SDS 4996Statistics and Data Science Elective: 400-Level
- SDS 5000Independent Work
- SDS 5005Essentials of Probability Models and Statistical Inference
- SDS 5007Statistics for Medical and Public Health Researchers
- SDS 5010Probability
- SDS 5020Mathematical Statistics
- SDS 5070Stochastic Processes
- SDS 5111Experimental Design
- SDS 5120Survival Analysis
- SDS 5130Linear Statistical Models
- SDS 5140Advanced Linear Statistical Models
- SDS 5155Time Series Analysis
- SDS 5210Statistical Computation
- SDS 5212Statistics for Data Science I
- SDS 5215Python for Data Science
- SDS 5310Bayesian Statistics
- SDS 5320Foundations for Causal Inference
- SDS 5425Data Mining Methods and Applications
- SDS 5430Statistical Learning
- SDS 5440Mathematical Foundations of Big Data
- SDS 5480Topics in Statistics
- SDS 5481Special Topics in Statistics and Data Science: An Introduction in Python
- SDS 5501Teaching Seminar
- SDS 5502Professional Development
- SDS 5503Statistics and Data Science Seminar
- SDS 5510Advanced Probability I
- SDS 5511Advanced Probability II
- SDS 5515Probability Theory for Statistics and Data Science
- SDS 5516Theory of Statistical Inference
- SDS 5521Advanced Linear Models I
- SDS 5522Advanced Linear Models II
- SDS 5525Theory of Statistics I
- SDS 5526Theory of Statistics II
- SDS 5531Advanced Statistical Computing I
- SDS 5532Advanced Statistical Computing II
- SDS 5540Statistical Network Analysis
- SDS 5571Topics in Advanced Probability
- SDS 5572Topics in Advanced Probability II
- SDS 5595Topics in Statistics: Spatial Statistics
- SDS 5800Topics in Statistics
- SDS 5801Advanced Topics in Statistics
- SDS 5802Advanced Topics in Statistics:
- SDS 5805Topics in Statistics
- SDS 5900Research
- SDS 5901Research
No courses found.