DANL 101 · Fall 2026 · SUNY Geneseo

Learn to think with data.

Move from sharp questions to credible analysis—with R and visualization first, then generative AI and stories that help people decide.

Start with Week 4 Homework 1 · Due Sep 23

Everything in reach

Open the right workspace.

Weekly pages tell you what to focus on. These collections keep every published course item easy to find.

Lecture slidesConcepts, examples, live coding, and lecture visuals. ClassworkHands-on practice designed for class sessions. HomeworkAssignment pages and instructions. Submit completed work in Brightspace. Group projectBrowse project topics, supporting datasets, and the storytelling guideline. Semester mapSee the week-by-week course path, topics, and major dates. SyllabusCourse policies, outcomes, assessment, and full details.

Dates to keep in view

Plan around the moments that shape the semester.

First course meeting
Fall break
Midterm exam
Group presentations
Semester map

From analytics thinking to a clear data story.

Each part of the course builds on the last. The sequence below follows the current schedule, with data transformation beginning in Week 5.

01Frame · Weeks 1–2Analytics questions + decision toolsTurn decisions into answerable questions, evaluate evidence, and use dashboards and analytics tools thoughtfully.→ 02Build · Weeks 3–4R foundations + statisticsWork with objects, vectors, data frames, and functions, then summarize center, spread, and distributions.→
03Transform + visualize · Weeks 5–8 · Coming soonPrepare, connect + visualize dataStart data transformation in Week 5, join related tables, and visualize distributions, relationships, and time trends.
04Apply + communicate · Weeks 9–16 · Coming soonAssess, explore AI + tell the storyComplete the midterm and career sessions, study generative AI, then build and present a clear group data story.
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