Yiga AI

Course 3 of 16

Statistical Thinking

Distributions, Sampling, Bootstrapping, and more.

Yiga AI

Intermediate en

Intermediate · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
16
Hands-on exercises
16
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

Python for Data Science Refresher

Statistical Thinking

Supervised Learning with scikit-learn

Unsupervised Learning

Syllabus

Every module, step by step.

4 modules · 21 lessons · 14 hours · 1 graded project

840 minutes of guided lesson time.

Sign in and enrol to unlock every lesson. The first lesson is open as a preview.

Module 1 · 5 lessons · 3 hoursDistributionsModule 1 of 4 in Statistical Thinking.

  1. Overview and set-up

    Overview and set-up — Distributions in Statistical Thinking.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Distributions in Statistical Thinking.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Distributions in Statistical Thinking.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Distributions in Statistical Thinking.

    Lesson · Locked

    40 min

  5. Module quiz: Distributions

    Check what you learned in Distributions before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedSamplingModule 2 of 4 in Statistical Thinking.

  1. Overview and set-up

    Overview and set-up — Sampling in Statistical Thinking.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Sampling in Statistical Thinking.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Sampling in Statistical Thinking.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Sampling in Statistical Thinking.

    Lesson · Locked

    40 min

  5. Module quiz: Sampling

    Check what you learned in Sampling before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedBootstrappingModule 3 of 4 in Statistical Thinking.

  1. Overview and set-up

    Overview and set-up — Bootstrapping in Statistical Thinking.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Bootstrapping in Statistical Thinking.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Bootstrapping in Statistical Thinking.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Bootstrapping in Statistical Thinking.

    Lesson · Locked

    40 min

  5. Module quiz: Bootstrapping

    Check what you learned in Bootstrapping before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedBayesian introModule 4 of 4 in Statistical Thinking.

  1. Overview and set-up

    Overview and set-up — Bayesian intro in Statistical Thinking.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Bayesian intro in Statistical Thinking.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Bayesian intro in Statistical Thinking.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Bayesian intro in Statistical Thinking.

    Lesson · Locked

    40 min

  5. Module quiz: Bayesian intro

    Check what you learned in Bayesian intro before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Statistical Thinking

    Apply everything from Statistical Thinking in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Statistical Thinking to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share
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Overview and set-up

Statistical Thinking

40 min · Resume

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Unsupervised Learning

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Course 6 in the track

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Business framing, Modelling, Fairness check, and more.

Advanced · Course · 4 weeks at 5 hrs/week

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