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B DATA 412 — Advanced Data Visualization

University of Washington · Autumn 2026 · 5 Credits (RSN)

Provides advanced training on visualization methods to show data in complex and compelling ways. Applies complex visualization methods to examine topics including project management, the grammar of graphics, data types, data structure, modeling, complex and interactive data visualization, and data dashboards.

Prerequisites: B DATA 200 and B DATA 232


Instructor

Prof. Dr. Pedro H. M. Albuquerque PhD in Quantitative Methods (Finance) · Staff Data Scientist & Adjunct Professor sites.uw.edu/pedroalb


Course Structure — 8 Sections

Section Topic Slides Notebook
1 Curse of Dimensionality & Linear Algebra PPTX Open In Colab
2 Matrix Operations & Data Geometry PPTX Open In Colab
3 K-Means & Hierarchical Clustering PPTX Open In Colab
4 DBSCAN, t-SNE & UMAP PPTX Open In Colab
5 Principal Component Analysis (PCA) PPTX Open In Colab
6 Correspondence Analysis & MCA PPTX Open In Colab
7 MDS & Autoencoders PPTX Open In Colab
8 Applied Project Open In Colab

Grading

Component Weight
Online Exercises (weekly Google Colab) 20%
Exam 1 — Sections 1 & 2 (in-class, Thu Oct 15) 20%
Exam 2 — Sections 3 & 4 (in-class, Thu Oct 29) 20%
Exam 3 — Sections 5–7 (in-class, Thu Nov 12) 20%
Applied Project + In-Person Presentation 20%

Software & Tools

  • Google Colab — primary coding environment (Jupyter Notebooks in the cloud)
  • Python — NumPy, pandas, matplotlib, plotnine, plotly, scikit-learn, scipy, umap-learn
  • Canvas — materials, assignments, grades, and exams

Repository Structure

BDATA412/
├── README.md
├── BDATA412_Syllabus.html
├── Section_01_...pptx through Section_07_...pptx   # Lecture slides
├── 01_...ipynb through 08_...ipynb                  # Google Colab notebooks
├── Data/                                            # Datasets (CSV)
└── images/                                          # Images for notebooks

Key Dates (Autumn 2026)

Date Event
Sep 29 (Tue) First day of class
Oct 15 (Thu) Exam 1 (in-class)
Oct 29 (Thu) Exam 2 (in-class)
Nov 12 (Thu) Exam 3 (in-class)
Nov 24–27 Thanksgiving Break
Nov 29 (Sun) Applied Project notebook due
Dec 1 & 3 (Tue & Thu) In-person presentations

University of Washington · School of Interdisciplinary Arts & Sciences

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BDATA 412 — Advanced Data Visualization, University of Washington

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