Yiga AI

Course 16 of 17

Data Visualisation with Matplotlib & Seaborn

Chart types, Styling, Multi-plot, and more.

Yiga AI

Beginner en

Beginner · 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 hoursChart typesModule 1 of 4 in Data Visualisation with Matplotlib & Seaborn.

  1. Overview and set-up

    Overview and set-up — Chart types in Data Visualisation with Matplotlib & Seaborn.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Chart types in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Chart types in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Chart types in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  5. Module quiz: Chart types

    Check what you learned in Chart types before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedStylingModule 2 of 4 in Data Visualisation with Matplotlib & Seaborn.

  1. Overview and set-up

    Overview and set-up — Styling in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Styling in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Styling in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Styling in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  5. Module quiz: Styling

    Check what you learned in Styling before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedMulti-plotModule 3 of 4 in Data Visualisation with Matplotlib & Seaborn.

  1. Overview and set-up

    Overview and set-up — Multi-plot in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Multi-plot in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Multi-plot in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Multi-plot in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  5. Module quiz: Multi-plot

    Check what you learned in Multi-plot before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedStorytellingModule 4 of 4 in Data Visualisation with Matplotlib & Seaborn.

  1. Overview and set-up

    Overview and set-up — Storytelling in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Storytelling in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Storytelling in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Storytelling in Data Visualisation with Matplotlib & Seaborn.

    Lesson · Locked

    40 min

  5. Module quiz: Storytelling

    Check what you learned in Storytelling before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Data Visualisation with Matplotlib & Seaborn

    Apply everything from Data Visualisation with Matplotlib & Seaborn in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Data Visualisation with Matplotlib & Seaborn 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

Data Visualisation with Matplotlib & Seaborn

40 min · Resume

Course 17 in the track

Exploratory Data Analysis

Distributions, Correlations, Segmentation, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

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