UIUC Course Reviews
University of Illinois at Urbana-Champaign
| Code | Name | Overall | Easiness | Interest | Usefulness | Reviewssorted descending |
|---|---|---|---|---|---|---|
| STAT 107 | Data Science Discovery | 5 | 5 | 5 | 5 | 1 |
| STAT 385 | Statistics Programming Methods | 5 | 5 | 5 | 5 | 1 |
| STAT 200 | Statistical Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 212 | Biostatistics | 0 | 0 | 0 | 0 | 0 |
| STAT 391 | Honors Individual Study | 0 | 0 | 0 | 0 | 0 |
| STAT 408 | Actuarial Statistics I | 0 | 0 | 0 | 0 | 0 |
| STAT 409 | Actuarial Statistics II | 0 | 0 | 0 | 0 | 0 |
| STAT 410 | Statistics and Probability II | 0 | 0 | 0 | 0 | 0 |
| STAT 420 | Methods of Applied Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 424 | Analysis of Variance | 0 | 0 | 0 | 0 | 0 |
| STAT 425 | Statistical Modeling I | 0 | 0 | 0 | 0 | 0 |
| STAT 426 | Statistical Modeling II | 0 | 0 | 0 | 0 | 0 |
| STAT 427 | Statistical Consulting | 0 | 0 | 0 | 0 | 0 |
| STAT 428 | Statistical Computing | 0 | 0 | 0 | 0 | 0 |
| STAT 429 | Time Series Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 430 | Topics in Applied Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 431 | Applied Bayesian Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 432 | Basics of Statistical Learning | 0 | 0 | 0 | 0 | 0 |
| STAT 433 | Stochastic Processes | 0 | 0 | 0 | 0 | 0 |
| STAT 434 | Survival Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 440 | Statistical Data Management | 0 | 0 | 0 | 0 | 0 |
| STAT 443 | Professional Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 447 | Data Science Programming Methods | 0 | 0 | 0 | 0 | 0 |
| STAT 448 | Advanced Data Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 458 | Math Modeling in Life Sciences | 0 | 0 | 0 | 0 | 0 |
| STAT 480 | Data Science Foundations | 0 | 0 | 0 | 0 | 0 |
| STAT 510 | Mathematical Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 511 | Advanced Mathematical Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 525 | Computational Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 527 | Advanced Regression Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 528 | Advanced Regression Analysis II | 0 | 0 | 0 | 0 | 0 |
| STAT 530 | Bioinformatics | 0 | 0 | 0 | 0 | 0 |
| STAT 533 | Advanced Stochastic Processes | 0 | 0 | 0 | 0 | 0 |
| STAT 534 | Advanced Survival Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 538 | Clinical Trials Methodology | 0 | 0 | 0 | 0 | 0 |
| STAT 541 | Predictive Analytics | 0 | 0 | 0 | 0 | 0 |
| STAT 542 | Statistical Learning | 0 | 0 | 0 | 0 | 0 |
| STAT 543 | Appl. Multivariate Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 545 | Spatial Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 546 | Machine Learning in Data Science | 0 | 0 | 0 | 0 | 0 |
| STAT 551 | Theory of Probability I | 0 | 0 | 0 | 0 | 0 |
| STAT 552 | Theory of Probability II | 0 | 0 | 0 | 0 | 0 |
| STAT 553 | Probability and Measure I | 0 | 0 | 0 | 0 | 0 |
| STAT 554 | Probability and Measure II | 0 | 0 | 0 | 0 | 0 |
| STAT 555 | Applied Stochastic Processes | 0 | 0 | 0 | 0 | 0 |
| STAT 556 | Advanced Time Series Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 558 | Risk Modeling and Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 571 | Multivariate Analysis | 0 | 0 | 0 | 0 | 0 |
| STAT 575 | Large Sample Theory | 0 | 0 | 0 | 0 | 0 |
| STAT 576 | Empirical Process Theory and Weak Convergence | 0 | 0 | 0 | 0 | 0 |
| STAT 578 | Topics in Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 587 | Hierarchical Linear Models | 0 | 0 | 0 | 0 | 0 |
| STAT 588 | Covar Struct and Factor Models | 0 | 0 | 0 | 0 | 0 |
| STAT 590 | Individual Study and Research | 0 | 0 | 0 | 0 | 0 |
| STAT 593 | STAT Internship | 0 | 0 | 0 | 0 | 0 |
| STAT 595 | Preparing Future Faculty | 0 | 0 | 0 | 0 | 0 |
| STAT 599 | Thesis Research | 0 | 0 | 0 | 0 | 0 |
| STAT 100 | Statistics | 0 | 0 | 0 | 0 | 0 |
| STAT 199 | Undergraduate Open Seminar | 0 | 0 | 0 | 0 | 0 |
| STAT 207 | Data Science Exploration | 0 | 0 | 0 | 0 | 0 |
| STAT 361 | Probability & Statistics for Computer Science | 0 | 0 | 0 | 0 | 0 |
| STAT 390 | Individual Study | 0 | 0 | 0 | 0 | 0 |
| STAT 400 | Statistics and Probability I | 0 | 0 | 0 | 0 | 0 |
STAT 107
Data Science Discovery
STAT 385
Statistics Programming Methods
STAT 200
Statistical Analysis
STAT 212
Biostatistics
STAT 391
Honors Individual Study
STAT 408
Actuarial Statistics I
STAT 409
Actuarial Statistics II
STAT 410
Statistics and Probability II
STAT 420
Methods of Applied Statistics
STAT 424
Analysis of Variance
STAT 425
Statistical Modeling I
STAT 426
Statistical Modeling II
STAT 427
Statistical Consulting
STAT 428
Statistical Computing
STAT 429
Time Series Analysis
STAT 430
Topics in Applied Statistics
STAT 431
Applied Bayesian Analysis
STAT 432
Basics of Statistical Learning
STAT 433
Stochastic Processes
STAT 434
Survival Analysis
STAT 440
Statistical Data Management
STAT 443
Professional Statistics
STAT 447
Data Science Programming Methods
STAT 448
Advanced Data Analysis
STAT 458
Math Modeling in Life Sciences
STAT 480
Data Science Foundations
STAT 510
Mathematical Statistics
STAT 511
Advanced Mathematical Statistics
STAT 525
Computational Statistics
STAT 527
Advanced Regression Analysis
STAT 528
Advanced Regression Analysis II
STAT 530
Bioinformatics
STAT 533
Advanced Stochastic Processes
STAT 534
Advanced Survival Analysis
STAT 538
Clinical Trials Methodology
STAT 541
Predictive Analytics
STAT 542
Statistical Learning
STAT 543
Appl. Multivariate Statistics
STAT 545
Spatial Statistics
STAT 546
Machine Learning in Data Science
STAT 551
Theory of Probability I
STAT 552
Theory of Probability II
STAT 553
Probability and Measure I
STAT 554
Probability and Measure II
STAT 555
Applied Stochastic Processes
STAT 556
Advanced Time Series Analysis
STAT 558
Risk Modeling and Analysis
STAT 571
Multivariate Analysis
STAT 575
Large Sample Theory
STAT 576
Empirical Process Theory and Weak Convergence
STAT 578
Topics in Statistics
STAT 587
Hierarchical Linear Models
STAT 588
Covar Struct and Factor Models
STAT 590
Individual Study and Research
STAT 593
STAT Internship
STAT 595
Preparing Future Faculty
STAT 599
Thesis Research
STAT 100
Statistics
STAT 199
Undergraduate Open Seminar
STAT 207
Data Science Exploration
STAT 361
Probability & Statistics for Computer Science
STAT 390
Individual Study
STAT 400
Statistics and Probability I