BYU Course Reviews
Brigham Young University
| Code | Name | Overall | Easiness | Interest | Usefulness | Reviewssorted descending |
|---|---|---|---|---|---|---|
| STAT 372 | Actuarial Problems | 0 | 0 | 0 | 0 | 0 |
| STAT 624 | Statistical Computation | 0 | 0 | 0 | 0 | 0 |
| STAT 641 | Prob Theory & Math Stat 1 | 0 | 0 | 0 | 0 | 0 |
| STAT 651 | Bayesian Methods | 0 | 0 | 0 | 0 | 0 |
| STAT 698R | Master's Project | 0 | 0 | 0 | 0 | 0 |
| STAT 123 | Introduction to R Programming | 0 | 0 | 0 | 0 | 0 |
| STAT 125 | Intro to Linux and Shell | 0 | 0 | 0 | 0 | 0 |
| STAT 130 | Intro to Statistics Department | 0 | 0 | 0 | 0 | 0 |
| STAT 201 | Stat for Engineers & Scientist | 0 | 0 | 0 | 0 | 0 |
| STAT 226 | SQL | 0 | 0 | 0 | 0 | 0 |
| STAT 234 | Methods of Survey Sampling | 0 | 0 | 0 | 0 | 0 |
| STAT 250 | Applied R Programming | 0 | 0 | 0 | 0 | 0 |
| STAT 251 | Intro to Bayesian Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 330 | Introduction to Regression | 0 | 0 | 0 | 0 | 0 |
| STAT 591R | Grad Seminar in Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 381 | Statistical Computing | 0 | 0 | 0 | 0 | 0 |
| STAT 421 | Big Data Science 2 | 0 | 0 | 0 | 0 | 0 |
| STAT 496R | Academic Internship | 0 | 0 | 0 | 0 | 0 |
| STAT 502 | Job Search Strategies | 0 | 0 | 0 | 0 | 0 |
| STAT 512 | Stat Methods for Research 2 | 0 | 0 | 0 | 0 | 0 |
| STAT 536 | Stat Learning & Data Mining | 0 | 0 | 0 | 0 | 0 |
| STAT 590R | Statistical Consulting | 0 | 0 | 0 | 0 | 0 |
| STAT 599R | Academic Internship | 0 | 0 | 0 | 0 | 0 |
| STAT 637 | Generalized Linear Models | 0 | 0 | 0 | 0 | 0 |
| STAT 642 | Prob Theory & Math Stat 2 | 0 | 0 | 0 | 0 | 0 |
| STAT 666 | Multivariate Statistical Methods | 0 | 0 | 0 | 0 | 0 |
| STAT 699R | Master's Thesis | 0 | 0 | 0 | 0 | 0 |
| STAT 435 | Nonparametric Stat Methods | 0 | 0 | 0 | 0 | 0 |
| STAT 124 | SAS Base Programming Skills | 0 | 0 | 0 | 0 | 0 |
| STAT 126 | Intro to Python Programming | 0 | 0 | 0 | 0 | 0 |
| STAT 199R | Academic Internship | 0 | 0 | 0 | 0 | 0 |
| STAT 223 | Applied R Programming | 0 | 0 | 0 | 0 | 0 |
| STAT 224 | Applied SAS Programming | 0 | 0 | 0 | 0 | 0 |
| STAT 230 | Analysis of Variance | 0 | 0 | 0 | 0 | 0 |
| STAT 240 | Probability and Inference 1 | 0 | 0 | 0 | 0 | 0 |
| STAT 274 | Theory of Interest | 0 | 0 | 0 | 0 | 0 |
| STAT 340 | Probability and Inference 2 | 0 | 0 | 0 | 0 | 0 |
| STAT 377 | Statistical Models for Financial Economics | 0 | 0 | 0 | 0 | 0 |
| STAT 420 | Big Data Science 1 | 0 | 0 | 0 | 0 | 0 |
| STAT 426 | Data Science Methods | 0 | 0 | 0 | 0 | 0 |
| STAT 121 | Principles of Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 437 | Applications in Biostatistics | 0 | 0 | 0 | 0 | 0 |
| STAT 451 | Applied Bayesian Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 462 | Quality Control and Industrial Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 466 | Intro to Reliability | 0 | 0 | 0 | 0 | 0 |
| STAT 469 | Analysis of Correlated Data | 0 | 0 | 0 | 0 | 0 |
| STAT 475 | Life Contingencies | 0 | 0 | 0 | 0 | 0 |
| STAT 477 | Distributions for Modeling | 0 | 0 | 0 | 0 | 0 |
| STAT 495R | Special Topics in Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 497R | Intro to Research | 0 | 0 | 0 | 0 | 0 |
| STAT 511 | Stat Methods for Research 1 | 0 | 0 | 0 | 0 | 0 |
| STAT 535 | Linear Models | 0 | 0 | 0 | 0 | 0 |
| STAT 537 | Mixed Model Methods | 0 | 0 | 0 | 0 | 0 |
STAT 372
Actuarial Problems
STAT 624
Statistical Computation
STAT 641
Prob Theory & Math Stat 1
STAT 651
Bayesian Methods
STAT 698R
Master's Project
STAT 123
Introduction to R Programming
STAT 125
Intro to Linux and Shell
STAT 130
Intro to Statistics Department
STAT 201
Stat for Engineers & Scientist
STAT 226
SQL
STAT 234
Methods of Survey Sampling
STAT 250
Applied R Programming
STAT 251
Intro to Bayesian Statistics
STAT 330
Introduction to Regression
STAT 591R
Grad Seminar in Statistics
STAT 381
Statistical Computing
STAT 421
Big Data Science 2
STAT 496R
Academic Internship
STAT 502
Job Search Strategies
STAT 512
Stat Methods for Research 2
STAT 536
Stat Learning & Data Mining
STAT 590R
Statistical Consulting
STAT 599R
Academic Internship
STAT 637
Generalized Linear Models
STAT 642
Prob Theory & Math Stat 2
STAT 666
Multivariate Statistical Methods
STAT 699R
Master's Thesis
STAT 435
Nonparametric Stat Methods
STAT 124
SAS Base Programming Skills
STAT 126
Intro to Python Programming
STAT 199R
Academic Internship
STAT 223
Applied R Programming
STAT 224
Applied SAS Programming
STAT 230
Analysis of Variance
STAT 240
Probability and Inference 1
STAT 274
Theory of Interest
STAT 340
Probability and Inference 2
STAT 377
Statistical Models for Financial Economics
STAT 420
Big Data Science 1
STAT 426
Data Science Methods
STAT 121
Principles of Statistics
STAT 437
Applications in Biostatistics
STAT 451
Applied Bayesian Statistics
STAT 462
Quality Control and Industrial Statistics
STAT 466
Intro to Reliability
STAT 469
Analysis of Correlated Data
STAT 475
Life Contingencies
STAT 477
Distributions for Modeling
STAT 495R
Special Topics in Statistics
STAT 497R
Intro to Research
STAT 511
Stat Methods for Research 1
STAT 535
Linear Models
STAT 537
Mixed Model Methods