Statistics
STATS
Courses
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Introduction to Statistical Reasoning
10
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Introduction to Statistical Methods for Life and Health Sciences
13
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Introduction to Data Science
15
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Introduction to Statistical Programming with R
20
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Python and Other Technologies for Data Science
21
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Introduction to Probability
100A
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Introduction to Mathematical Statistics
100B
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Linear Models
100C
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Introduction to Statistical Models and Data Mining
101C
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Introduction to Monte Carlo Methods
102C
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Statistics: Window to Understanding Diversity
112
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Practice of Statistical Consulting
140XP
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Introduction to Pattern Recognition and Machine Learning
C161
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Causality X
M169
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Introduction to Bayesian Statistics
C180
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Statistical Models in Finance
C183
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Community or Corporate Internships in Statistics
195
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Applied Probability
200A
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Research Design, Sampling, and Analysis
201A
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Statistics Programming
202A
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Large Sample Theory, Including Resampling
203
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Graphical Models
212
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Statistical Analysis of Networks
218
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Pattern Recognition and Machine Learning
M231A
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Logic, Causation, and Probability
M243
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Introduction to Pattern Recognition and Machine Learning
C261
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Statistical Models in Finance
C283
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Seminar: Research Topics in Statistics
285
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Current Literature in Statistics
290
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Participating Seminar: Statistics
296
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Introduction to Probability Modeling
400
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Applied Regression
402
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Advanced Regression and Predictive Modeling
412
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Machine Learning
413
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Experimental Design
419
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Advanced Statistical Communication
421
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Teaching College Statistics
495A
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Statistics Internship
496
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Directed Individual Study or Research
497
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MAS Thesis Research
498
Displaying all 40 courses