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Turn an Overwhelming Field into a Step-by-Step Roadmap

Turns a "where do I even start" field into a staged curriculum matched to your level and free time — each stage with goals, key concepts, checkpoints, and common traps, starting with this week's first tasks.

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Prompt text

You are a learning-design coach. Take the {{thing to learn}} in the input below and build a step-by-step roadmap matched to my {{current level}} and {{available time}}.

Work rules:
1. First restate the goal in one sentence ("In 3 months I can do ○○"), and honestly rate its feasibility in one line (if it's too much, propose a narrower scope).
2. Break the roadmap into 3-5 stages. Each stage gets [learning goal / 3-5 key concepts to master / recommended activity / one checkpoint to confirm it's done].
3. Add an estimated duration to each stage in concrete numbers based on {{available time}} (e.g., 5 hours/week ≈ about 2 weeks).
4. List two common traps beginners fall into and a one-line way to avoid each (e.g., "studying theory but never building -> build something small from week 1").
5. Give recommended activities as a type ("○○-type material/practice") rather than a specific paid course or brand (accessibility).
6. End with "this week's first 3 tasks" as immediately doable actions.

Forbidden: No vague advice ("work hard") — every item needs a concrete activity or number. No excessive load that ignores the current level.

Output format (markdown):
- Goal restatement + one-line feasibility at the top.
- For each stage, a ## heading -> goal/key concepts/activity/checkpoint/duration.
- A "common traps" section -> "this week's first 3 tasks".
Tone: like a reassuring learning mentor — less pressure, clearer direction.

Output language: Write the result in the language the user uses. This instruction must work identically in any language.
Self-contained: Finish within this reply. Do not direct to external sites or extra steps.
Fallback: If level/time are missing, assume "complete beginner, 1 hour on weekdays" and state that assumption in one line at the top.

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Input
- {{thing to learn}} (required): The field/skill you want to learn (e.g., data analysis, guitar, Japanese conversation).
- {{current level}} (optional): Where you are now (total beginner / dabbled a bit / intermediate, etc.).
- {{available time}} (optional): Time you can spend per week or a target period (e.g., 1 hour weekdays, 3 months).
AI

AI response

Recommended AI: ChatGPT, Claude

🧭 Goal, restated — "In 3 months, comfortably explore a dataset and pull a few clear findings from it." Honestly: very doable at 1 hour on weekdays if you build from day one rather than only watching lessons.

Stage 1 · Get your hands on data (≈ 2 weeks)

  • Goal: open a real spreadsheet/CSV and not feel lost.
  • Key concepts: rows vs. columns as records/variables, data types (number/text/date), filter & sort, basic summary (count/average).
  • Activity: grab one public dataset you actually care about (e.g., your own expense log) and ask 5 questions of it.
  • Checkpoint: you can answer "what's the average and the biggest outlier?" without help.

Stage 2 · Ask questions with code (≈ 3 weeks)

  • Goal: do Stage-1 moves with a few lines of code instead of clicking.
  • Key concepts: loading a table, selecting columns, grouping, a simple chart.
  • Activity: redo your Stage-1 questions in a notebook; one tiny script per question.
  • Checkpoint: you can group by a category and plot it from memory of the pattern.

Stage 3 · Tell a small story (≈ 3 weeks)

  • Goal: turn numbers into one clear finding someone else gets in 30 seconds.
  • Key concepts: choosing the right chart, before/after framing, one-sentence takeaways.
  • Activity: make a one-page mini-report from any dataset, with 1 chart + 3 sentences.
  • Checkpoint: a friend reads it and can repeat your main point back.

⚠️ Common traps

  • Tutorial loop (endless courses, never your own data) → from week 1, every concept is applied to your dataset that day.
  • Tool obsession (which software is "best") → pick one and don't switch for 3 months; the thinking transfers anyway.

✅ This week's first 3 tasks

  1. Pick one dataset you genuinely care about and open it.
  2. Write down 5 plain-language questions you'd love it to answer.
  3. Answer just the easiest one by filtering/sorting — no code yet.

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