QAC courses
52 courses · Wesleyan University · Fall 2026
- QAC 150 — Working with SQL and Databases1 section
- QAC 151 — Working with Excel and VBA1 section
- QAC 153 — Working with Mathematica1 section
- QAC 154 — Working with MATLAB1 section
- QAC 155 — Working with Python1 section
- QAC 156 — Working with R1 section
- QAC 157 — Working with SAS1 section
- QAC 158 — Working with Stata1 section
- QAC 159 — Working with High Performance Computing (HPC) Tools1 section
- QAC 171 — Business Modeling with Excel1 section
- QAC 190F — Big Data, Big Promises, Big Problems?1 section
- QAC 201 — Applied Data Analysis1 section
- QAC 201Z — Applied Data Analysis1 section
- QAC 203 — Hollywood and Big Data1 section
- QAC 204 — Visualizing Firearms History: An Applied Quantitative and Archival Approach for a Project-Based Expl1 section
- QAC 211 — Digging the Digital Era: A Data Science Primer1 section
- QAC 216 — Introduction to Survey Design and Analysis1 section
- QAC 220 — Applied Vectors and Matrices1 section
- QAC 231 — Introduction to (Geo)Spatial Data Analysis and Visualization1 section
- QAC 232Z — Mapping the Pandemic1 section
- QAC 234 — Working with Remote Sensing Data with Applications in Social Science Research1 section
- QAC 239 — Proseminar: Machine Learning Methods for Audio and Video Analysis1 section
- QAC 241 — Introduction to Network Analysis1 section
- QAC 250 — An Introduction to Data Journalism1 section
- QAC 251 — Data Visualization: An Introduction1 section
- QAC 251Z — Data Visualization: An Introduction1 section
- QAC 260 — Special Topics in Computer Science1 section
- QAC 301 — Statistics Education Practicum1 section
- QAC 302 — National Education Equity Lab Teaching Fellowship1 section
- QAC 305 — Exploratory Data Analysis and Pattern Discovery1 section
- QAC 307 — Experimental Design and Causal Inference1 section
- QAC 311 — Longitudinal Data Analysis1 section
- QAC 312 — Hierarchical Linear Models1 section
- QAC 313 — Latent Variable Analysis1 section
- QAC 314 — Survival Analysis1 section
- QAC 320 — Applied Time Series Analysis1 section
- QAC 323 — Bayesian Data Analysis: A Primer1 section
- QAC 356 — Advanced R: Building Open-Source Tools for Data Science1 section
- QAC 378 — DeltaLab: Computational Media Analysis1 section
- QAC 380 — Introduction to Statistical Consulting1 section
- QAC 381 — QAC Praxis Service Learning Lab1 section
- QAC 385 — Applications of Machine Learning in Data Analysis1 section
- QAC 386 — Quantitative Textual Analysis: Introduction to Text Mining1 section
- QAC 387 — Generative AI -- LLM Tools for Data Analysis1 section
- QAC 401 — Individual Tutorial, Undergraduate1 section
- QAC 402 — Individual Tutorial, Undergraduate1 section
- QAC 409 — Senior Thesis Tutorial1 section
- QAC 410 — Senior Thesis Tutorial1 section
- QAC 419 — Student Forum1 section
- QAC 420 — Student Forum1 section
- QAC 492 — Teaching Apprentice Tutorial, Undergraduate1 section
- QAC 493Z — Summer Research Fellowship1 section
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