Section outline

    • girl fighting against AI with sumo

    • Sumo – Big Data

      AI is winning by drowning everyone in information — train your teen to stay on their feet and control the data ring.
      Sumo isn’t about fancy flips. It’s about stance, balance, and ring control. Big Data is the same: filter noise, find signal, and push toward truth.


      ✅ Start here (free)

      Start at Lesson 1 and move forward. Each lesson is broken into short micro‑presentations (one concept per screen) so your teen can train daily without overwhelm.

      1. Read/train the slides (quick, focused)
      2. (Paid members) take the drill quiz and record your score
      3. Pass belt exams to rank up

      Core idea: AI can generate “insights.” Your teen must learn to verify what’s real.

      👨‍👩‍👧 For parents: why this course matters

      AI makes it cheap to generate dashboards, charts, and “data conclusions” — including wrong ones that look convincing. Big Data literacy trains durable skills: asking the right question, managing the data pipeline, separating correlation from causation, interpreting visuals honestly, and using models responsibly.

      This course helps your teen become the person who can say: “Show me the data. Show me the assumptions. Prove it.” That mindset is hard to automate.

      Disclaimer: This course builds skills and discipline. It does not guarantee job outcomes.

      🔥 For teens: the mission

      Become the person who can stay centered while everyone else gets pushed by the data flood. In Sumo, you win by balance and ring control. Here, you win by signal control: what matters, what’s fake, what’s missing, and what’s being manipulated.

      • You vs AI: don’t accept confident output — demand evidence
      • Ring control: clean data → honest charts → correct conclusions
      • Belts prove you’re leveling up
      • Best score counts — retry and improve without fear

      Teen challenge: hit Yellow Belt (causation + algorithms + the full data cycle). If this course feels powerful, send it to a friend who wants an edge too.

      🧠 What your teen will learn
      • Turn curiosity into clear data questions
      • Run the data cycle: collect → store → organize → integrate → analyze → act
      • Separate signal vs. noise; correlation vs. causation
      • Visualize data clearly and detect misleading charts
      • Clean and prepare data to avoid “garbage in, garbage out”
      • Think algorithmically about scale and efficiency
      • Interpret simple predictive models responsibly (regression-style thinking)
      • Detect anomalies and understand outliers
      • Understand simulation and overfitting (practical defenses)
      • Learn foundations behind text signals, recommendations, clustering, decision trees
      • Use network/graph thinking for connected systems
      • Make smarter choices around privacy and security
      🥋 How training works (simple + structured)
      • Short training slides (micro‑presentations; one idea per screen)
      • Auto‑graded drills (quick quizzes with retries)
      • Belt exams to prove progress
      • Moodle tracking: scores, completion, progress history
      • No technical Q&A required — the system is designed for independent progress

      This is not “read and forget.” This is training: short practice → measurable proof.

      🥋 Belt map

      Lesson ranges refer to the course training forms.

      • White Belt (Lessons 1–3) — Stance & Signal
        What big data means, question‑first thinking, and the “data flood” mindset.
      • Yellow Belt (Lessons 4–6) — Ring Control Basics
        Patterns vs causes, algorithmic thinking, and the full data cycle from collection to action.
      • Orange Belt (Lessons 7–9) — Clean Data Power
        Honest visualization, data preparation, and choosing the right metrics.
      • Green Belt (Lessons 10–12) — Evidence Push
        Weighted evidence, regression thinking, and machine‑learning concepts (what it is / what it isn’t).
      • Blue Belt (Lessons 13–15) — Break the Fake Trend
        Anomalies/outliers, simulation thinking, and overfitting defenses.
      • Brown Belt (Lessons 16–20) — Systems & Influence
        Ranking/search signals, text signals, compression & recommendations, decision trees, clustering.
      • Black Belt (Lessons 21–23) — Protect the Ring
        Networks/graph thinking, privacy & security, responsible forecasting.
        Black Belt Test: comprehensive final exam.

      Belts are proof. Parents get visibility. Teens get momentum.

      🏷️ Free vs Dojo Membership (paid)

      Free (Guest Training)

      • Access the free lesson content (training slides / micro‑presentations)
      • See the curriculum and belt map
      • Preview the dojo structure

      Dojo Membership (Paid)

      • Full access to all drills, quizzes, and belt tests
      • Belt tracking and certificates
      • Parent visibility of progress and scores inside Moodle

      Founders / Inauguration Price: $5 per course for 30 days (about the price of a coffee). This is the launch price while the dojo is expanding — as more belts, exams, and courses are added, the price will rise.

      📚 Curriculum / Training Forms (23 lessons)
      1. Enter the Ring: What Big Data Really Means — why data is “big” in impact and risk.
      2. Question First — define what you’re trying to learn before analyzing.
      3. Sumo Mindset: Handling the Data Flood — filter noise and stay centered.
      4. Patterns vs. Causes — correlation vs. causation and common traps.
      5. Algorithms — technique for managing scale and complexity.
      6. The Data Cycle — collect, store, integrate, analyze, act.
      7. Data Visualization — reveal truth and spot misleading visuals.
      8. Data Preparation — clean inputs to protect outcomes.
      9. Measurement & Metrics — define success and avoid measuring wrong signals.
      10. Weighted Evidence — combine sources wisely for stronger conclusions.
      11. Regression Thinking — model trends and interpret predictions carefully.
      12. Machine Learning Thinking — what “training” means (and doesn’t).
      13. Anomalies & Outliers — detect unusual events and why they matter.
      14. Simulation — model systems you can’t safely test in real life.
      15. Overfitting — avoid models that look perfect but fail later.
      16. Ranking & Search Signals — how ranking works and how manipulation is resisted.
      17. Text Signals — extract meaning from large collections of words.
      18. Compression & Recommendations — storage efficiency and pattern-based suggestions.
      19. Decision Trees — fast structure for messy datasets.
      20. Clustering — discover natural groups and hidden structure.
      21. Networks & Graph Thinking — model connected systems and spread.
      22. Privacy & Security — understand risks and build safer habits.
      23. Responsible Forecasting — predict with uncertainty and guardrails.

      Disclaimer: This course provides education and training and cannot guarantee a specific job outcome.

      ✅ Belt Test Rules (read before testing)

      Belts are proof of skill. Your teen earns belts through auto‑graded drills and belt tests.

      Passing score: 80%
      Retries: Unlimited
      Score policy: Best score counts (highest score recorded; retakes cannot lower the record)

      Eligibility: completing the required drills unlocks the belt test.

      Optional anti‑spam cooldown (recommended): add a cooldown after failed attempts to reduce rapid guessing and encourage real review.

      Integrity Rules — “You vs AI”

      • No AI tools during belt tests. No chatbots, no answer generators, no “summarize and solve” tools.
      • No outside help during belt tests (friends, tutors, siblings).
      • Parent presence encouraged during belt tests (nearby / same room).

      Notes Policy

      • Drills: open‑notes allowed.
      • Belt tests: closed‑notes or one‑page notes (dojo admin choice).

      Disclaimer: Belts and certificates verify training progress and do not guarantee job outcomes.