UBC Course Reviews
University of British Columbia
Code | Name | Overall | Easiness | Interest | Usefulness | Reviewssorted descending |
---|---|---|---|---|---|---|
DSCI 100 | Introduction to Data Science | 4.7 | 3 | 4 | 5 | 3 |
DSCI 310 | Reproducible and Trustworthy Workflows for Data Science | 3 | 3.5 | 4 | 4.5 | 2 |
DSCI 571 | Supervised Learning I | 0 | 0 | 0 | 0 | 0 |
DSCI 320 | Visualization for Data Science | 0 | 0 | 0 | 0 | 0 |
DSCI 591 | Capstone Project | 0 | 0 | 0 | 0 | 0 |
DSCI 575 | Advanced Machine Learning | 0 | 0 | 0 | 0 | 0 |
DSCI 573 | Feature and Model Selection | 0 | 0 | 0 | 0 | 0 |
DSCI 563 | Unsupervised Learning | 0 | 0 | 0 | 0 | 0 |
DSCI 561 | Regression I | 0 | 0 | 0 | 0 | 0 |
DSCI 552 | Statistical Inference and Computation I | 0 | 0 | 0 | 0 | 0 |
DSCI 541 | Privacy, Ethics, and Security | 0 | 0 | 0 | 0 | 0 |
DSCI 525 | Web and Cloud Computing | 0 | 0 | 0 | 0 | 0 |
DSCI 522 | Data Science Workflows | 0 | 0 | 0 | 0 | 0 |
DSCI 512 | Algorithms and Data Structures | 0 | 0 | 0 | 0 | 0 |
DSCI 574 | Spatial and Temporal Models | 0 | 0 | 0 | 0 | 0 |
DSCI 511 | Programming for Data Science | 0 | 0 | 0 | 0 | 0 |
DSCI 554 | Experimentation and Causal Inference | 0 | 0 | 0 | 0 | 0 |
DSCI 553 | Statistical Inference and Computation II | 0 | 0 | 0 | 0 | 0 |
DSCI 551 | Descriptive Statistics and Probability for Data Science | 0 | 0 | 0 | 0 | 0 |
DSCI 542 | Communication and Argumentation | 0 | 0 | 0 | 0 | 0 |
DSCI 532 | Data Visualization II | 0 | 0 | 0 | 0 | 0 |
DSCI 531 | Data Visualization I | 0 | 0 | 0 | 0 | 0 |
DSCI 524 | Collaborative Software Development | 0 | 0 | 0 | 0 | 0 |
DSCI 523 | Programming for Data Manipulation | 0 | 0 | 0 | 0 | 0 |
DSCI 521 | Computing Platforms for Data Science | 0 | 0 | 0 | 0 | 0 |
DSCI 513 | Databases and Data Retrieval | 0 | 0 | 0 | 0 | 0 |
DSCI 572 | Supervised Learning II | 0 | 0 | 0 | 0 | 0 |
DSCI 562 | Regression II | 0 | 0 | 0 | 0 | 0 |
DSCI 100
Introduction to Data Science
DSCI 310
Reproducible and Trustworthy Workflows for Data Science
DSCI 571
Supervised Learning I
DSCI 320
Visualization for Data Science
DSCI 591
Capstone Project
DSCI 575
Advanced Machine Learning
DSCI 573
Feature and Model Selection
DSCI 563
Unsupervised Learning
DSCI 561
Regression I
DSCI 552
Statistical Inference and Computation I
DSCI 541
Privacy, Ethics, and Security
DSCI 525
Web and Cloud Computing
DSCI 522
Data Science Workflows
DSCI 512
Algorithms and Data Structures
DSCI 574
Spatial and Temporal Models
DSCI 511
Programming for Data Science
DSCI 554
Experimentation and Causal Inference
DSCI 553
Statistical Inference and Computation II
DSCI 551
Descriptive Statistics and Probability for Data Science
DSCI 542
Communication and Argumentation
DSCI 532
Data Visualization II
DSCI 531
Data Visualization I
DSCI 524
Collaborative Software Development
DSCI 523
Programming for Data Manipulation
DSCI 521
Computing Platforms for Data Science
DSCI 513
Databases and Data Retrieval
DSCI 572
Supervised Learning II
DSCI 562
Regression II