Automation for Analysts
Readable Visuals for Operational Reviews
Design small multiples and annotated charts that survive leadership printouts.
Tuition is informational only. Enrollment staff confirm availability and policies by email.
Request a syllabus callOverview
Craft visuals that remain legible when pasted into memos. You will practice restrained palettes, direct labeling, and narrative ordering that supports decisions without decorative clutter.
What you build
- Small multiples with shared scales
- Direct labeling instead of crowded legends
- Print-safe aspect ratios
- Accessible color choices with simulated checks
- Caption templates tied to decisions
- Export routines to SVG and PDF
- Critique rubric for peer review
Outcomes
- Produce a three-panel figure with aligned scales
- Rewrite a busy chart into a calmer layout
- Pass a peer critique using the provided rubric
Mentor on record
Haneul Park
Lead Python instructor focused on analyst-friendly tooling and reviewable notebooks.
FAQ
Which plotting libraries?
matplotlib and plotnine; seaborn appears briefly for styling comparisons.
Are dashboards included?
No. Static exports for documents are the focus.
Limitations?
We avoid animated or interactive web-only charts.
Participant notes
Peer critique rubric is now how we review club posters before publication night.