Statistics and Data Sciences
2026-2027
92 courses
- SDS 119STopics in Statistics and Data Sciences
- SDS 129STopics in Statistics and Data Sciences
- SDS 179RUndergraduate Research
- SDS 183KTopics in Data Analysis Applications
- SDS 189RGraduate Research
- SDS 190Readings in Statistics
- SDS 219STopics in Statistics and Data Sciences
- SDS 229STopics in Statistics and Data Sciences
- SDS 279RUndergraduate Research
- SDS 289RGraduate Research
- SDS 301Elementary Statistical Methods
- SDS 302FFoundations of Data Analysis
- SDS 313Introduction to Data Science
- SDS 315Statistical Thinking
- SDS 319STopics in Statistics and Data Sciences
- SDS 320EElements of Statistics
- SDS 320HElements of Statistics: Honors
- SDS 321Introduction to Probability and Statistics
- SDS 322EElements of Data Science
- SDS 324EElements of Regression Analysis
- SDS 325HHonors Statistics
- SDS 326EElements of Statistical Machine Learning
- SDS 329STopics in Statistics and Data Sciences
- SDS 334Intermediate Statistical Methods
- SDS 336Practical Machine Learning
- SDS 354Advanced Statistical Methods
- SDS 357Case Studies in Data Science
- SDS 364Bayesian Statistics
- SDS 365Special Topics in Statistics and Data Science
- SDS 365.1Sports Analytics
- SDS 365.2Data Product Development
- SDS 366Data Visualization
- SDS 368Statistical Theory
- SDS 374CParallel Computing for Science and Engineering
- SDS 374EVisualization and Data Analysis for Science and Engineering
- SDS 375Special Topics in Scientific Computation
- SDS 378Introduction to Mathematical Statistics
- SDS 378PDecision Analytics
- SDS 379HHonors Undergraduate Research
- SDS 379RUndergraduate Research
- SDS 380CStatistical Methods I
- SDS 380DStatistical Methods II
- SDS 381MTopics in Statistics and Data Science Foundations
- SDS 383CStatistical Modeling I
- SDS 383DStatistical Modeling II
- SDS 384Topics in Statistics and Probability
- SDS 384.1Applied Probability
- SDS 384.10Stochastic Processes
- SDS 384.11Theoretical Statistics
- SDS 384.2Mathematical Statistics I
- SDS 384.3Mathematical Statistics II
- SDS 384.4Regression Analysis
- SDS 384.6Design and Analysis of Experiments
- SDS 384.7Bayesian Statistical Methods
- SDS 384.8Time Series Analysis
- SDS 384.9Computational Statistics
- SDS 385Topics in Applied Statistics
- SDS 386MTopics in Statistics and Data Science Extensions
- SDS 386M.1Data Visualization
- SDS 387Linear Models
- SDS 389RGraduate Research
- SDS 391PTopics in Statistics and Data Science Foundations
- SDS 391P.1Advanced Statistical Modeling and Applications I
- SDS 391P.2Advanced Statistical Modeling and Applications II
- SDS 391P.3Theory of the Linear Model
- SDS 391P.4Computational Inference
- SDS 391P.5Concepts in Mathematical Statistics
- SDS 391P.6Theoretical Statistics and Machine Learning
- SDS 393CNumerical Analysis: Linear Algebra
- SDS 393DNumerical Analysis: Interpolation, Approximation, Quadrature, and Differential Equations
- SDS 396PTopics in Statistics and Data Science Extensions
- SDS 396P.1Statistical Machine Learning Optimization
- SDS 398RMaster's Report
- SDS 398TSupervised Teaching in Statistics and Data Sciences
- SDS 399WDissertation
- SDS 419STopics in Statistics and Data Sciences
- SDS 429STopics in Statistics and Data Sciences
- SDS 431Probability and Statistical Inference
- SDS 479RUndergraduate Research
- SDS 489RGraduate Research
No courses found.