Harvard Course Reviews
Harvard University
| Code | Name | Overall | Easiness | Interest | Usefulness | Reviewssorted descending |
|---|---|---|---|---|---|---|
| BST 232 | Methods | 3 | 3 | 3 | 3 | 2 |
| BST 201LAB | Introduction to Statistical Methods - Required LAB | 0 | 0 | 0 | 0 | 0 |
| BST 210 | Applied Regression Analysis | 0 | 0 | 0 | 0 | 0 |
| BST 212 | Survey Research Methods in Community Health | 0 | 0 | 0 | 0 | 0 |
| BST 214 | Principles of Clinical Trials | 0 | 0 | 0 | 0 | 0 |
| BST 216 | Introduction to Quantitative Methods for Monitoring and Eval... | 0 | 0 | 0 | 0 | 0 |
| BST 221 | Applied Data Structures and Algorithms | 0 | 0 | 0 | 0 | 0 |
| BST 223 | Applied Survival Analysis | 0 | 0 | 0 | 0 | 0 |
| BST 227 | Introduction to Statistical Genetics | 0 | 0 | 0 | 0 | 0 |
| BST 230 | Probability I | 0 | 0 | 0 | 0 | 0 |
| BST 238 | Advanced Topics in Clinical Trials | 0 | 0 | 0 | 0 | 0 |
| BST 240 | Probability II | 0 | 0 | 0 | 0 | 0 |
| BST 244 | Analysis of Failure Time Data | 0 | 0 | 0 | 0 | 0 |
| BST 247 | Advanced Statistical Genetics | 0 | 0 | 0 | 0 | 0 |
| BST 254 | Special Topics in Biostatistics (2.5 cr) | 0 | 0 | 0 | 0 | 0 |
| BST 257 | Theory and Methods for Causality II | 0 | 0 | 0 | 0 | 0 |
| BST 262 | Computing for Big Data | 0 | 0 | 0 | 0 | 0 |
| BST 267 | Introduction to Social and Biological Networks | 0 | 0 | 0 | 0 | 0 |
| BST 272 | Computing Environments for Biology | 0 | 0 | 0 | 0 | 0 |
| BST 280 | Introductory Genomics & Bioinformatics for Health Research | 0 | 0 | 0 | 0 | 0 |
| BST 282 | Introduction to Computational Biology and Bioinformatics | 0 | 0 | 0 | 0 | 0 |
| BST 300 | Independent Study | 0 | 0 | 0 | 0 | 0 |
| BST 312B | Consultation | 0 | 0 | 0 | 0 | 0 |
| BST 314 | Big Data Lab Rotation | 0 | 0 | 0 | 0 | 0 |
| BST 325 | Master's Thesis and Collaborative Research Practicum | 0 | 0 | 0 | 0 | 0 |
| BST 400 | Non-Resident Research | 0 | 0 | 0 | 0 | 0 |
| BST 2342 | Introduction to Data Structures and Algorithms (Part 2) | 0 | 0 | 0 | 0 | 0 |
| BST 201 | Introduction to Statistical Methods | 0 | 0 | 0 | 0 | 0 |
| BST 210LAB | Applied Regression Analysis - Required LAB | 0 | 0 | 0 | 0 | 0 |
| BST 213 | Applied Regression for Clinical Research | 0 | 0 | 0 | 0 | 0 |
| BST 215 | Linear and Longitudinal Regression | 0 | 0 | 0 | 0 | 0 |
| BST 217 | Statistical and Quantitative Methods for Pharmaceutical Regu... | 0 | 0 | 0 | 0 | 0 |
| BST 222 | Basics of Statistical Inference | 0 | 0 | 0 | 0 | 0 |
| BST 226 | Applied Longitudinal Analysis | 0 | 0 | 0 | 0 | 0 |
| BST 228 | Applied Bayesian Analysis | 0 | 0 | 0 | 0 | 0 |
| BST 231 | Statistical Inference I | 0 | 0 | 0 | 0 | 0 |
| BST 235 | Advanced Regression and Statistical Learning | 0 | 0 | 0 | 0 | 0 |
| BST 239 | Health Survey Samples | 0 | 0 | 0 | 0 | 0 |
| BST 241 | Statistical Inference II | 0 | 0 | 0 | 0 | 0 |
| BST 245 | Analysis of Multivariate and Longitudinal Data | 0 | 0 | 0 | 0 | 0 |
| BST 249 | Bayesian Methodology in Biostatistics | 0 | 0 | 0 | 0 | 0 |
| BST 256 | Theory and Methods for Causality I | 0 | 0 | 0 | 0 | 0 |
| BST 260 | Introduction to Data Science | 0 | 0 | 0 | 0 | 0 |
| BST 261 | Data Science II | 0 | 0 | 0 | 0 | 0 |
| BST 263 | Statistical Learning | 0 | 0 | 0 | 0 | 0 |
| BST 270 | Reproducible Data Science | 0 | 0 | 0 | 0 | 0 |
| BST 273 | Introduction to Programming | 0 | 0 | 0 | 0 | 0 |
| BST 281 | Genomic Data Manipulation | 0 | 0 | 0 | 0 | 0 |
| BST 283 | Cancer Genome Data Science | 0 | 0 | 0 | 0 | 0 |
| BST 311 | Teaching Assistant | 0 | 0 | 0 | 0 | 0 |
| BST 312A | Consultation | 0 | 0 | 0 | 0 | 0 |
| BST 316 | Quantitative Genomics Lab Rotation | 0 | 0 | 0 | 0 | 0 |
| BST 350 | Research | 0 | 0 | 0 | 0 | 0 |
| BST 2341 | Introduction to Data Structures and Algorithms (Part 1) | 0 | 0 | 0 | 0 | 0 |
BST 232
Methods
BST 201LAB
Introduction to Statistical Methods - Required LAB
BST 210
Applied Regression Analysis
BST 212
Survey Research Methods in Community Health
BST 214
Principles of Clinical Trials
BST 216
Introduction to Quantitative Methods for Monitoring and Eval...
BST 221
Applied Data Structures and Algorithms
BST 223
Applied Survival Analysis
BST 227
Introduction to Statistical Genetics
BST 230
Probability I
BST 238
Advanced Topics in Clinical Trials
BST 240
Probability II
BST 244
Analysis of Failure Time Data
BST 247
Advanced Statistical Genetics
BST 254
Special Topics in Biostatistics (2.5 cr)
BST 257
Theory and Methods for Causality II
BST 262
Computing for Big Data
BST 267
Introduction to Social and Biological Networks
BST 272
Computing Environments for Biology
BST 280
Introductory Genomics & Bioinformatics for Health Research
BST 282
Introduction to Computational Biology and Bioinformatics
BST 300
Independent Study
BST 312B
Consultation
BST 314
Big Data Lab Rotation
BST 325
Master's Thesis and Collaborative Research Practicum
BST 400
Non-Resident Research
BST 2342
Introduction to Data Structures and Algorithms (Part 2)
BST 201
Introduction to Statistical Methods
BST 210LAB
Applied Regression Analysis - Required LAB
BST 213
Applied Regression for Clinical Research
BST 215
Linear and Longitudinal Regression
BST 217
Statistical and Quantitative Methods for Pharmaceutical Regu...
BST 222
Basics of Statistical Inference
BST 226
Applied Longitudinal Analysis
BST 228
Applied Bayesian Analysis
BST 231
Statistical Inference I
BST 235
Advanced Regression and Statistical Learning
BST 239
Health Survey Samples
BST 241
Statistical Inference II
BST 245
Analysis of Multivariate and Longitudinal Data
BST 249
Bayesian Methodology in Biostatistics
BST 256
Theory and Methods for Causality I
BST 260
Introduction to Data Science
BST 261
Data Science II
BST 263
Statistical Learning
BST 270
Reproducible Data Science
BST 273
Introduction to Programming
BST 281
Genomic Data Manipulation
BST 283
Cancer Genome Data Science
BST 311
Teaching Assistant
BST 312A
Consultation
BST 316
Quantitative Genomics Lab Rotation
BST 350
Research
BST 2341
Introduction to Data Structures and Algorithms (Part 1)