DTSA courses at CU Boulder
9,556 DTSA courses at University of Colorado Boulder, with prerequisites, ratings, workload, and what each one unlocks.
Showing 1–50 of 78
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- DTSA 5001Probability Foundations for Data Science and AI
- DTSA 5002Statistical Estimation for Data Science and AI
- DTSA 5003Hypothesis Testing for Data Science
- DTSA 5011Modern Regression Analysis in R
- DTSA 5012ANOVA and Experimental Design
- DTSA 5013Generalized Linear Models and Nonparametric Regression
- DTSA 5020Statistical Learning for Data Science: Regression and Classification
- DTSA 5021Statistical Learning for Data Science: Resampling, Selection and Splines
- DTSA 5022Statistical Learning for Data Science: Trees, SVM and Unsupervised Learning
- DTSA 5301Data Science as a Field
- DTSA 5302Cybersecurity for Data Science
- DTSA 5303Ethical Issues in Data Science
- DTSA 5304Fundamentals of Data Visualization
- DTSA 5501Algorithms for Searching, Sorting, and Indexing
- DTSA 5502Trees and Graphs: Basics
- DTSA 5503Dynamic Programming, Greedy Algorithms
- DTSA 5504Data Mining Pipeline
- DTSA 5505Data Mining Methods
- DTSA 5506Data Mining Project
- DTSA 5507Fundamentals of Software Architecture for Big Data
- DTSA 5508Software Architecture Patterns for Big Data
- DTSA 5509Introduction to Machine Learning: Supervised Learning
- DTSA 5510Unsupervised Algorithms in Machine Learning
- DTSA 5511Introduction to Deep Learning
- DTSA 5512Introduction to Computer Vision
- DTSA 5513Deep Learning for Computer Vision
- DTSA 5514Modern AI Models for Vision and Multimodal Understanding
- DTSA 5515Fair Machine Learning: Foundations
- DTSA 5516Fair Machine Learning: Algorithms
- DTSA 5517Fair Machine Learning: Applications
- DTSA 5701Introduction to High Performance and Parallel Computing
- DTSA 5702Efficient Programming
- DTSA 5703Parallel Computing with MPI
- DTSA 5704Managing, Describing, and Analyzing Data
- DTSA 5705Stability and Capability in Quality Improvement
- DTSA 5706Measurement Systems Analysis
- DTSA 5707Deep Learning Applications for Computer Vision
- DTSA 5714Applications of Software Architecture for Big Data
- DTSA 5718Computing, Ethics, and Society 1 - Foundations
- DTSA 5719Computing, Ethics, and Society 2 - Algorithmic Bias and Professional Ethics
- DTSA 5720Computing, Ethics, and Society 3 - Applications
- DTSA 5721Neural Networks and Deep Learning
- DTSA 5722Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- DTSA 5723Structuring Machine Learning Projects
- DTSA 5724Convolutional Neural Networks
- DTSA 5725Sequence Models
- DTSA 5726Introduction to Bayesian Statistics for Data Science
- DTSA 5727Computational Bayesian Statistics for Data Science
- DTSA 5728Bayesian Statistical Modeling for Data Science Applications
- DTSA 5733Relational Database Design