NCSU Course Reviews
North Carolina State University
Code | Name | Overall | Easiness | Interest | Usefulness | Reviewssorted descending |
---|---|---|---|---|---|---|
ST 732 | Longitudinal Data Analysis | 0 | 0 | 0 | 0 | 0 |
ST 405 | Applied Nonparametric Statistics | 0 | 0 | 0 | 0 | 0 |
ST 350 | Economics and Business Statistics | 0 | 0 | 0 | 0 | 0 |
ST 308 | Introduction to Statistical Programming - R | 0 | 0 | 0 | 0 | 0 |
ST 114 | Statistical Programming | 0 | 0 | 0 | 0 | 0 |
ST 899 | Doctoral Dissertation Preparation | 0 | 0 | 0 | 0 | 0 |
ST 885 | Doctoral Supervised Teaching | 0 | 0 | 0 | 0 | 0 |
ST 801 | Seminar | 0 | 0 | 0 | 0 | 0 |
ST 779 | Advanced Probability for Statistical Inference | 0 | 0 | 0 | 0 | 0 |
ST 758 | Computation for Statistical Research | 0 | 0 | 0 | 0 | 0 |
ST 747 | Probability and Stochastic Processes II | 0 | 0 | 0 | 0 | 0 |
ST 745 | Analysis of Survival Data | 0 | 0 | 0 | 0 | 0 |
ST 431 | Introduction to Experimental Design | 0 | 0 | 0 | 0 | 0 |
ST 704 | Statistical Methods II | 0 | 0 | 0 | 0 | 0 |
ST 701 | Statistical Theory I | 0 | 0 | 0 | 0 | 0 |
ST 630 | Independent Study | 0 | 0 | 0 | 0 | 0 |
ST 563 | Introduction to Statistical Learning | 0 | 0 | 0 | 0 | 0 |
ST 556 | Statistical Programming II | 0 | 0 | 0 | 0 | 0 |
ST 544 | Applied Categorical Data Analysis | 0 | 0 | 0 | 0 | 0 |
ST 537 | Applied Multivariate and Longitudinal Data Analysis | 0 | 0 | 0 | 0 | 0 |
ST 533 | Applied Spatial Statistics | 0 | 0 | 0 | 0 | 0 |
ST 524 | Statistics In Plant Science | 0 | 0 | 0 | 0 | 0 |
ST 519 | Teaching and Learning of Statistical Thinking | 0 | 0 | 0 | 0 | 0 |
ST 515 | Experimental Statistics for Engineers I | 0 | 0 | 0 | 0 | 0 |
ST 555 | Statistical Programming I | 0 | 0 | 0 | 0 | 0 |
ST 893 | Doctoral Supervised Research | 0 | 0 | 0 | 0 | 0 |
ST 810 | Advanced Topics in Statistics | 0 | 0 | 0 | 0 | 0 |
ST 790 | Advanced Special Topics | 0 | 0 | 0 | 0 | 0 |
ST 771 | Biomathematics I | 0 | 0 | 0 | 0 | 0 |
ST 748 | Stochastic Differential Equations | 0 | 0 | 0 | 0 | 0 |
ST 740 | Bayesian Inference and Analysis | 0 | 0 | 0 | 0 | 0 |
ST 721 | Genetic Data Analysis | 0 | 0 | 0 | 0 | 0 |
ST 703 | Statistical Methods I | 0 | 0 | 0 | 0 | 0 |
ST 695 | Master's Thesis Research | 0 | 0 | 0 | 0 | 0 |
ST 610 | Topics in Stat | 0 | 0 | 0 | 0 | 0 |
ST 562 | Data Mining with SAS Enterprise Miner | 0 | 0 | 0 | 0 | 0 |
ST 512 | Statistical Methods For Researchers II | 0 | 0 | 0 | 0 | 0 |
ST 542 | Statistical Practice | 0 | 0 | 0 | 0 | 0 |
ST 535 | Statistical Methods for Quality and Productivity Improvement | 0 | 0 | 0 | 0 | 0 |
ST 525 | Statistics and Computing for Agricultural Data Science | 0 | 0 | 0 | 0 | 0 |
ST 517 | Applied Statistical Methods I | 0 | 0 | 0 | 0 | 0 |
ST 514 | Statistics For Management and Social Sciences II | 0 | 0 | 0 | 0 | 0 |
ST 507 | Statistics For the Behavioral Sciences I | 0 | 0 | 0 | 0 | 0 |
ST 501 | Fundamentals of Statistical Inference I | 0 | 0 | 0 | 0 | 0 |
ST 495 | Special Topics in Statistics | 0 | 0 | 0 | 0 | 0 |
ST 445 | Introduction to Statistical Computing and Data Management | 0 | 0 | 0 | 0 | 0 |
ST 435 | Statistical Methods for Quality and Productivity Improvement | 0 | 0 | 0 | 0 | 0 |
ST 502 | Fundamentals of Statistical Inference II | 0 | 0 | 0 | 0 | 0 |
ST 558 | Data Science for Statisticians | 0 | 0 | 0 | 0 | 0 |
ST 546 | Probability and Stochastic Processes I | 0 | 0 | 0 | 0 | 0 |
ST 540 | Applied Bayesian Analysis | 0 | 0 | 0 | 0 | 0 |
ST 534 | Applied Time Series | 0 | 0 | 0 | 0 | 0 |
ST 531 | Experimental Design | 0 | 0 | 0 | 0 | 0 |
ST 520 | Statistical Principles of Clinical Trials | 0 | 0 | 0 | 0 | 0 |
ST 518 | Applied Statistical Methods II | 0 | 0 | 0 | 0 | 0 |
ST 516 | Experimental Statistics For Engineers II | 0 | 0 | 0 | 0 | 0 |
ST 513 | Statistics for Management I | 0 | 0 | 0 | 0 | 0 |
ST 511 | Statistical Methods For Researchers I | 0 | 0 | 0 | 0 | 0 |
ST 505 | Applied Nonparametric Statistics | 0 | 0 | 0 | 0 | 0 |
ST 590 | Special Topics | 0 | 0 | 0 | 0 | 0 |
ST 498 | Independent Study In Statistics | 0 | 0 | 0 | 0 | 0 |
ST 497 | Professional Experience in Statistics | 0 | 0 | 0 | 0 | 0 |
ST 446 | Intermediate SAS Programming with Applications | 0 | 0 | 0 | 0 | 0 |
ST 440 | Applied Bayesian Analysis | 0 | 0 | 0 | 0 | 0 |
ST 434 | Applied Time Series | 0 | 0 | 0 | 0 | 0 |
ST 432 | Introduction to Survey Sampling | 0 | 0 | 0 | 0 | 0 |
ST 422 | Introduction to Mathematical Statistics II | 0 | 0 | 0 | 0 | 0 |
ST 412 | Long-Term Actuarial Models | 0 | 0 | 0 | 0 | 0 |
ST 372 | Introduction to Statistical Inference and Regression | 0 | 0 | 0 | 0 | 0 |
ST 370 | Probability and Statistics for Engineers | 0 | 0 | 0 | 0 | 0 |
ST 311 | Introduction to Statistics | 0 | 0 | 0 | 0 | 0 |
ST 307 | Introduction to Statistical Programming- SAS | 0 | 0 | 0 | 0 | 0 |
ST 503 | Fundamentals of Linear Models and Regression | 0 | 0 | 0 | 0 | 0 |
ST 499 | Research Experience in Statistics | 0 | 0 | 0 | 0 | 0 |
ST 491 | Statistics in Practice | 0 | 0 | 0 | 0 | 0 |
ST 442 | Introduction to Data Science | 0 | 0 | 0 | 0 | 0 |
ST 437 | Applied Multivariate and Longitudinal Data Analysis | 0 | 0 | 0 | 0 | 0 |
ST 433 | Applied Spatial Statistics | 0 | 0 | 0 | 0 | 0 |
ST 430 | Introduction to Regression Analysis | 0 | 0 | 0 | 0 | 0 |
ST 421 | Introduction to Mathematical Statistics I | 0 | 0 | 0 | 0 | 0 |
ST 404 | Epidemiology and Statistics in Global Public Health | 0 | 0 | 0 | 0 | 0 |
ST 371 | Introduction to Probability and Distribution Theory | 0 | 0 | 0 | 0 | 0 |
ST 312 | Introduction to Statistics II | 0 | 0 | 0 | 0 | 0 |
ST 305 | Statistical Methods | 0 | 0 | 0 | 0 | 0 |
ST 895 | Doctoral Dissertation Research | 0 | 0 | 0 | 0 | 0 |
ST 841 | Statistical Consulting | 0 | 0 | 0 | 0 | 0 |
ST 793 | Advanced Statistical Inference | 0 | 0 | 0 | 0 | 0 |
ST 772 | Biomathematics II | 0 | 0 | 0 | 0 | 0 |
ST 756 | Computational Molecular Evolution | 0 | 0 | 0 | 0 | 0 |
ST 746 | Introduction To Stochastic Processes | 0 | 0 | 0 | 0 | 0 |
ST 733 | Spatial Statistics | 0 | 0 | 0 | 0 | 0 |
ST 705 | Linear Models and Variance Components | 0 | 0 | 0 | 0 | 0 |
ST 702 | Statistical Theory II | 0 | 0 | 0 | 0 | 0 |
ST 693 | Master's Supervised Research | 0 | 0 | 0 | 0 | 0 |
ST 732
Longitudinal Data Analysis
ST 405
Applied Nonparametric Statistics
ST 350
Economics and Business Statistics
ST 308
Introduction to Statistical Programming - R
ST 114
Statistical Programming
ST 899
Doctoral Dissertation Preparation
ST 885
Doctoral Supervised Teaching
ST 801
Seminar
ST 779
Advanced Probability for Statistical Inference
ST 758
Computation for Statistical Research
ST 747
Probability and Stochastic Processes II
ST 745
Analysis of Survival Data
ST 431
Introduction to Experimental Design
ST 704
Statistical Methods II
ST 701
Statistical Theory I
ST 630
Independent Study
ST 563
Introduction to Statistical Learning
ST 556
Statistical Programming II
ST 544
Applied Categorical Data Analysis
ST 537
Applied Multivariate and Longitudinal Data Analysis
ST 533
Applied Spatial Statistics
ST 524
Statistics In Plant Science
ST 519
Teaching and Learning of Statistical Thinking
ST 515
Experimental Statistics for Engineers I
ST 555
Statistical Programming I
ST 893
Doctoral Supervised Research
ST 810
Advanced Topics in Statistics
ST 790
Advanced Special Topics
ST 771
Biomathematics I
ST 748
Stochastic Differential Equations
ST 740
Bayesian Inference and Analysis
ST 721
Genetic Data Analysis
ST 703
Statistical Methods I
ST 695
Master's Thesis Research
ST 610
Topics in Stat
ST 562
Data Mining with SAS Enterprise Miner
ST 512
Statistical Methods For Researchers II
ST 542
Statistical Practice
ST 535
Statistical Methods for Quality and Productivity Improvement
ST 525
Statistics and Computing for Agricultural Data Science
ST 517
Applied Statistical Methods I
ST 514
Statistics For Management and Social Sciences II
ST 507
Statistics For the Behavioral Sciences I
ST 501
Fundamentals of Statistical Inference I
ST 495
Special Topics in Statistics
ST 445
Introduction to Statistical Computing and Data Management
ST 435
Statistical Methods for Quality and Productivity Improvement
ST 502
Fundamentals of Statistical Inference II
ST 558
Data Science for Statisticians
ST 546
Probability and Stochastic Processes I
ST 540
Applied Bayesian Analysis
ST 534
Applied Time Series
ST 531
Experimental Design
ST 520
Statistical Principles of Clinical Trials
ST 518
Applied Statistical Methods II
ST 516
Experimental Statistics For Engineers II
ST 513
Statistics for Management I
ST 511
Statistical Methods For Researchers I
ST 505
Applied Nonparametric Statistics
ST 590
Special Topics
ST 498
Independent Study In Statistics
ST 497
Professional Experience in Statistics
ST 446
Intermediate SAS Programming with Applications
ST 440
Applied Bayesian Analysis
ST 434
Applied Time Series
ST 432
Introduction to Survey Sampling
ST 422
Introduction to Mathematical Statistics II
ST 412
Long-Term Actuarial Models
ST 372
Introduction to Statistical Inference and Regression
ST 370
Probability and Statistics for Engineers
ST 311
Introduction to Statistics
ST 307
Introduction to Statistical Programming- SAS
ST 503
Fundamentals of Linear Models and Regression
ST 499
Research Experience in Statistics
ST 491
Statistics in Practice
ST 442
Introduction to Data Science
ST 437
Applied Multivariate and Longitudinal Data Analysis
ST 433
Applied Spatial Statistics
ST 430
Introduction to Regression Analysis
ST 421
Introduction to Mathematical Statistics I
ST 404
Epidemiology and Statistics in Global Public Health
ST 371
Introduction to Probability and Distribution Theory
ST 312
Introduction to Statistics II
ST 305
Statistical Methods
ST 895
Doctoral Dissertation Research
ST 841
Statistical Consulting
ST 793
Advanced Statistical Inference
ST 772
Biomathematics II
ST 756
Computational Molecular Evolution
ST 746
Introduction To Stochastic Processes
ST 733
Spatial Statistics
ST 705
Linear Models and Variance Components
ST 702
Statistical Theory II
ST 693
Master's Supervised Research