Data Visualization with AI
Start the course → Open Module 1. With JavaScript enabled, your saved working activity appears here.
This week’s work
Use the published Fall 2026 calendar and Canvas instructions for this week.
View the course calendarEvidence and Canvas packet guidance Separate from your saved working activity
How the course works Four steps
Follow your highlighted step. QuantegyAI modules are the learning workspaces; Canvas weeks are the calendar topics. See the course calendar for due dates.
Take the diagnostic
10 questions, ~10 minutes. Calibrates your starting level — not graded.
Not started 2Work through modules
Start with Module 1. Each module has labs plus a graded assignment you finish here.
Not started 3Download & submit packets
Check the course calendar for each project's Canvas due date and use the matching Canvas project. For Canvas, upload at least one artifact from your work or a screenshot of your grade.
Not started 4Final review
Review your completed work and follow the Final instructions in Canvas; no extra QuantegyAI packet is required.
Not startedIn each module: learn → practise → submit your assignment → check mastery → continue.
Progress: sign in and complete a module's mastery check to track progress here.
Skills dashboard e-Portfolio Learning Journal Sign in / enrollCourse diagnostic 10 questions · about 10 minutes · not graded
One attempt per question. Your answers identify useful practice in Modules 1–5 and do not affect your grade.
The diagnostic needs JavaScript.
Course reference
Open the modules, deadlines or tools you need.
Modules 1–15 Projects and packet due dates
Statistical Question & Data Contract / Cleaning & Missingness Audit
Module 2 · Project 1 · Due the date on CanvasDescriptive Evidence Memo / Visual Encoding Defense
Module 3 · Project 1 · Due the date on CanvasDistribution Model Defense / Group Comparison Defense
Module 4 · Project 2 · Due the date on CanvasAssociation & Correlation Audit / Regression & Causal-Boundary Defense
Module 5 · Project 3 · Due the date on CanvasUncertainty Visual Defense / Simulation & Convergence Audit
Module 6 · Project 4 · Due the date on CanvasMultivariate Structure Defense / Time-Series Story
Module 7 · Project 4 · Due the date on CanvasTrustworthy Dashboard & Ethics Defense / Dashboard Detective & Privacy Suppression
Module 8 · Project 5 · Due the date on CanvasReproducibility & AI-Audit Package / AI Decision-Log Audit
Module 9 · Project 5 · Due the date on CanvasBayesian Model Criticism Defense
Module 10 · Project 6 · Due the date on CanvasPCA Evidence Studio
Module 11 · Project 6 · Due the date on CanvasTime-Series Evidence Studio
Module 12 · Project 6 · Due the date on CanvasShiny Evidence Studio
Module 13 · Project 7 · Due the date on CanvasEthics Evidence Studio
Module 14 · Project 7 · Due the date on CanvasReproducibility Evidence Studio
Module 15 · Project 7 · Due the date on CanvasSynthesis portfolio
The 7 Canvas projects and final Exactly what to submit and when
QuantegyAI Modules 1–3
Optional bundle: Project_1_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade.
Project 2 · Module 4 · DV07–DV08 · Due the date on CanvasQuantegyAI Module 4
Optional bundle: Project_2_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade.
Project 3 · Module 5 · DV09–DV10 · Due the date on CanvasQuantegyAI Module 5
Optional bundle: Project_3_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade.
Project 4 · Modules 6–7 · DV11–DV14 · Due the date on CanvasQuantegyAI Modules 6–7
Optional bundle: Project_4_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade.
Project 5 · Modules 8–9 · DV15–DV17 · Due the date on CanvasQuantegyAI Modules 8–9
Optional bundle: Project_5_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade.
Project 6 · Modules 10–12 · DV18–DV20 · Due the date on CanvasQuantegyAI Modules 10–12
Optional bundle: Project_6_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade.
Project 7 · Modules 13–15 · DV21–DV23 · Due the date on CanvasQuantegyAI Modules 13–15
Optional bundle: Project_7_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade.
Final · Review only · Due the date on CanvasIntegrative Final Submission
Review Modules 1–15 and complete the Final in Canvas. No new concepts, evidence items, or QuantegyAI packet.
Canvas calendar and due dates 16 weeks · 7 projects · final due the date on Canvas
Open the course calendar as its own page →
Dates, week topics and project membership follow the Canvas outline. The topic column is the Canvas week topic; “Module N” in the activity column is QuantegyAI Module N. Keep previously earned credit and submitted packets; there is no need to upload again.
Loading the course calendar from the Canvas schedule…
Your skill map Progress and review
Your Data Visualization skill map
Mastered means verified module evidence—not merely visiting a page. Skills needing review point back to the modules that build them.
About this course AI, R and interactive math
AI drafts; R verifies; you defend. Build evidence DV01–DV23 across 15 modules. Submit seven Canvas project packets, then complete the review-only final. Project 7 includes the Module 15 synthesis portfolio.
Recommended preparation: Intro to AI, including prompting and checking AI output. Inline WebR labs need no R installation. RStudio/Positron, Quarto and Shiny support deeper project work.
Interactive math with AI: GeoGebra supports visual scale/proportion in Module 2, regression geometry in Module 4 and dashboard slider prototypes in Module 7. Module 12 adds Shiny dashboard builds.