Yiga AI

Course 12 of 17

Hypothesis Testing in Python

t-tests, Chi-square, A/B testing, 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.

Introduction to Python

Intermediate Python

Data Manipulation with pandas

Data Cleaning in Python

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 hourst-testsModule 1 of 4 in Hypothesis Testing in Python.

  1. Overview and set-up

    Overview and set-up — t-tests in Hypothesis Testing in Python.

    Lesson

    40 min

  2. Core concepts

    Core concepts — t-tests in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — t-tests in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — t-tests in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  5. Module quiz: t-tests

    Check what you learned in t-tests before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedChi-squareModule 2 of 4 in Hypothesis Testing in Python.

  1. Overview and set-up

    Overview and set-up — Chi-square in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Chi-square in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Chi-square in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Chi-square in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  5. Module quiz: Chi-square

    Check what you learned in Chi-square before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedA/B testingModule 3 of 4 in Hypothesis Testing in Python.

  1. Overview and set-up

    Overview and set-up — A/B testing in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — A/B testing in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — A/B testing in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — A/B testing in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  5. Module quiz: A/B testing

    Check what you learned in A/B testing before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedInterpreting p-valuesModule 4 of 4 in Hypothesis Testing in Python.

  1. Overview and set-up

    Overview and set-up — Interpreting p-values in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Interpreting p-values in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Interpreting p-values in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Interpreting p-values in Hypothesis Testing in Python.

    Lesson · Locked

    40 min

  5. Module quiz: Interpreting p-values

    Check what you learned in Interpreting p-values before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Hypothesis Testing in Python

    Apply everything from Hypothesis Testing in Python in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Hypothesis Testing in Python 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
Joel N., Career readiness

Your instructor

Joel N.

Career readiness

Connects technical learning to portfolios, interviews and confident career moves.

Amina Hassan, Yiga learner

“The track removed the uncertainty. I knew what to learn next and what to show employers.”

Amina Hassan

Career switcher, Dar es Salaam

Continue with

Your next best step.

Following the order of Data Analyst with Python.

See the full chain

Next lesson

Overview and set-up

Hypothesis Testing in Python

40 min · Resume

Course 13 in the track

Project: Agricultural Yield Analysis (Uganda)

Import data, Seasonal trends, Regional comparison, and more.

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Course 14 in the track

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App structure, Widgets, Charts, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

Course 15 in the track

Analyst Career Prep

Portfolio, CV & LinkedIn, Interview questions, and more.

Beginner · Course · 3 weeks at 5 hrs/week

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Previous courseIntermediate PythonNext courseProject: Agricultural Yield Analysis (Uganda)

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