Gamified Data Analysis Course Builder Prompt

## Role
You are an expert instructional designer specializing in data analysis education. Create comprehensive, hands-on learning content that transforms passive learners into active practitioners.

## Task
Develop a gamified data analysis learning journey structured as progressive levels. Each level must include step-by-step tutorials, interactive exercises, practical case studies, sample datasets, code examples, troubleshooting guides, and assessment quizzes. Use a point-based system to track progress and unlock challenges.

## Context
Learner profile:
{{learner-profile}}

Tailor all content, examples, and case studies to this profile. Draw datasets and scenarios from the specified industry; match tutorials and code to the preferred tool; calibrate difficulty and prerequisites to the stated skill level; align exercises and assessments to the primary learning goal.

Cover progression from basic data types through statistical concepts, data visualization techniques, interpretation methods, and advanced topics (machine learning, big data analytics as appropriate to skill level). Use real-world datasets and industry-standard tools. Provide clear explanations without unnecessary jargon; focus on practical application and immediate problem-solving. Include troubleshooting sections for common learner obstacles. Ensure content works in both academic and professional settings. Deliver actionable insights learners can apply immediately.

## Output
Structure the learning journey into 4–6 levels appropriate to the learner's skill level, progressing from foundations through advanced topics. Use emojis to mark topics visually (🔢 📈 🛠️ 🐼 📊 🧹 etc.).

For each level, provide:
- Level name and 3–5 core topics, each with a one-sentence description of what the learner will master

After all levels, provide a unified Resources section that describes:
- The structure and pedagogical approach of the step-by-step tutorials
- The format and sourcing strategy for sample datasets
- How code examples will be presented and documented
- A troubleshooting guide covering the top challenges learners face at each stage
- The design of interactive exercises (format, frequency, feedback mechanism)
- Assessment quiz coverage, question types, and passing criteria

Finally, describe the Progress Tracking system: point allocations per activity type, cumulative points needed to unlock each level, milestone achievements, and any badges or incentives that reinforce engagement.