Example / Demo — Example walkthrough — written in advance, not generated live.

Build a learning plan that fits real life

Goal: Learn the basics of data analysis in 10 weeks alongside a full-time job and family.
Context: Fictional learner, evenings are unpredictable, weekends have one free morning.
Expected deliverable: Weekly plan with small, skippable sessions and checkpoints.
Constraints: Max 4 hours a week. Free materials only.

Contributions

Researcher · Example / Demo
Basics usually cover: spreadsheets, cleaning data, simple charts, and asking good questions of data. Free course options exist but should be chosen by the learner after checking them.
Assumptions: Learner has a computer and spreadsheet software.
Limitations: No specific course was reviewed.
Strategist · Example / Demo
Use one real personal dataset (e.g. household spending) as a thread through all weeks, so practice stays meaningful.
Assumptions: Motivation rises with personal relevance.
Limitations: Personal data should stay private.
Builder · Example / Demo
Two 30-minute weekday sessions + one 2-hour weekend session. Weeks 1–3 spreadsheets, 4–6 cleaning, 7–8 charts, 9–10 a small final question answered with data.
Assumptions: Missing a weekday session is fine.
Limitations: Pace may need adjusting after week 3.
Reviewer · Example / Demo
Ten weeks may be optimistic with unpredictable evenings. Add a buffer week and define 'done' as answering one question, not finishing a course.
Assumptions: Learner prefers sustainable pace.
Limitations: Not tailored to job requirements.

[Unverified suggestions] Suggestion: compare two free spreadsheet courses before choosing.

The learner accepted the buffer week and the personal dataset idea.

An 11-week plan, about 3 hours/week, ending with one real question answered from personal data.