Course RDF
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- DTSA 5011 - Modern Regression Analysis in R
- DTSA 5012 - ANOVA and Experimental Design
- DTSA 5013 - Generalized Linear Models and Nonparametric Regression
- DTSA 5020 - Statistical Learning for Data Science: Regression and Classification
- DTSA 5021 - Statistical Learning for Data Science: Resampling, Selection and Splines
- DTSA 5022 - Statistical Learning for Data Science: Trees, SVM and Unsupervised Learning
- DTSA 5303 - Ethical Issues in Data Science
- DTSA 5304 - Fundamentals of Data Visualization
- DTSA 5501 - Algorithms for Searching, Sorting, and Indexing
- DTSA 5502 - Trees and Graphs: Basics
- DTSA 5503 - Dynamic Programming, Greedy Algorithms
- DTSA 5504 - Data Mining Pipeline
- DTSA 5505 - Data Mining Methods
- DTSA 5506 - Data Mining Project
- DTSA 5509 - Introduction to Machine Learning - Supervised Learning
- DTSA 5510 - Unsupervised Algorithms in Machine Learning
- DTSA 5511 - Introduction to Deep Learning
- DTSA 5701 - Introduction to High Performance and Parallel Computing
- DTSA 5704 - Managing, Describing, and Analyzing Data
- DTSA 5705 - Stability and Capability in Quality Improvement
- DTSA 5706 - Measurement Systems Analysis
- DTSA 5707 - Deep Learning Applications for Computer Vision
- DTSA 5734 - The Structured Query Language (SQL)
- DTSA 5735 - Advanced Topics and Future Trends in Database Technologies
- DTSA 5798 - Supervised Text Classification for Marketing Analytics
- DTSA 5799 - Unsupervised Text Classification for Marketing Analytics
- DTSA 5800 - Network Analysis for Marketing Analytics
- DTSA 5841 - IBM Capstone Project
- DTSA 5842 - Effective Communication: Writing, Design, and Presentation
- DTSA 5843 - Effective Communication Capstone Project