Yiga AI

Course 3 of 17

Data Visualisation for Decisions

Turn African business and public datasets into honest, useful visual stories.

Yiga AI

Intermediate en

Intermediate · Course · 4 weeks at 5 hrs/week

Duration
4 weeks
Effort
5 hrs/week
Lessons
24
Hands-on exercises
24
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 · 29 lessons · 19 hours · 1 graded project

1160 minutes of guided lesson time.

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

Module 1 · 7 lessons · 4.3 hoursChoose the honest chartModule 1 of 4 in Data Visualisation for Decisions.

  1. Overview and set-up

    Overview and set-up — Choose the honest chart in Data Visualisation for Decisions.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Choose the honest chart in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Choose the honest chart in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Choose the honest chart in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Choose the honest chart in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Choose the honest chart in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  7. Module quiz: Choose the honest chart

    Check what you learned in Choose the honest chart before moving on.

    Quiz · Locked

    20 min
Module 2 · 7 lessons · 4.3 hours LockedTell the story in the dataModule 2 of 4 in Data Visualisation for Decisions.

  1. Overview and set-up

    Overview and set-up — Tell the story in the data in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Tell the story in the data in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Tell the story in the data in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Tell the story in the data in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Tell the story in the data in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Tell the story in the data in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  7. Module quiz: Tell the story in the data

    Check what you learned in Tell the story in the data before moving on.

    Quiz · Locked

    20 min
Module 3 · 7 lessons · 4.3 hours LockedApplied practiceModule 3 of 4 in Data Visualisation for Decisions.

  1. Overview and set-up

    Overview and set-up — Applied practice in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Applied practice in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Applied practice in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Applied practice in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Applied practice in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Applied practice in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  7. Module quiz: Applied practice

    Check what you learned in Applied practice before moving on.

    Quiz · Locked

    20 min
Module 4 · 8 lessons · 6.3 hours LockedAdvanced techniquesModule 4 of 4 in Data Visualisation for Decisions.

  1. Overview and set-up

    Overview and set-up — Advanced techniques in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Advanced techniques in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Advanced techniques in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Advanced techniques in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Advanced techniques in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Advanced techniques in Data Visualisation for Decisions.

    Lesson · Locked

    40 min

  7. Module quiz: Advanced techniques

    Check what you learned in Advanced techniques before moving on.

    Quiz · Locked

    20 min

  8. Graded project: Data Visualisation for Decisions

    Apply everything from Data Visualisation for Decisions in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Data Visualisation for Decisions 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
Grace A., AI for professions

Your instructor

Grace A.

AI for professions

Shows working professionals how to use AI responsibly inside everyday workflows.

Samuel Mwangi, Yiga learner

“The examples felt relevant to public service and worked on the connection I actually have.”

Samuel Mwangi

Public service officer, Nairobi

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 for Decisions

40 min · Resume

Course 4 in the track

Data Cleaning in Python

Missing values, Duplicates, Types & dates, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

Course 5 in the track

Introduction to Python

Variables & types, Lists & dicts, Functions, and more.

Beginner · Course · 3 weeks at 5 hrs/week

Course 6 in the track

Introduction to Statistics

Descriptive stats, Probability, Sampling, and more.

Beginner · Course · 3 weeks at 5 hrs/week

Learner reviews

What learners say.

Write a review

Sign in to share your experience with this course.

Sign in to review

Loading reviews…

Previous courseData Analysis with PandasNext courseData Cleaning in Python

Keep going

Other courses in this track.

View full track
Python for Beginners cover illustration
Programming

24 lessons · 19.3h · Beginner

Python for Beginners

Write your first programs, work with data, and build a small command-line project.

Yiga Plus
Data Analysis with Pandas cover illustration
Data

25 lessons · 19.5h · Intermediate

Data Analysis with Pandas

Clean, explore and visualise real African datasets to answer practical questions.

Yiga Plus
Data Cleaning in Python cover illustration
Data

16 lessons · 14h · Intermediate

Data Cleaning in Python

Missing values, Duplicates, Types & dates, and more.

Yiga Plus
Introduction to Python cover illustration
Data

16 lessons · 14h · Beginner

Introduction to Python

Variables & types, Lists & dicts, Functions, and more.

Yiga Plus