Yiga AI

Course 2 of 17

Data Analysis with Pandas

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

Yiga AI

Intermediate en

Intermediate · Course · 4 weeks at 5 hrs/week

Duration
4 weeks
Effort
5 hrs/week
Lessons
25
Hands-on exercises
25
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 · 30 lessons · 20 hours · 1 graded project

1168 minutes of guided lesson time.

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

Module 1 · 8 lessons · 4.5 hoursMeeting pandasModule 1 of 4 in Data Analysis with Pandas.

  1. Quick start: clean a messy spreadsheet with AI

    A 5–10 minute win you can use today.

    Lesson

    8 min

  2. Overview and set-up

    Overview and set-up — Meeting pandas in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  3. Core concepts

    Core concepts — Meeting pandas in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  4. Worked example

    Worked example — Meeting pandas in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  5. Hands-on practice

    Hands-on practice — Meeting pandas in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  6. Common pitfalls

    Common pitfalls — Meeting pandas in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  7. Applying it at work

    Applying it at work — Meeting pandas in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  8. Module quiz: Meeting pandas

    Check what you learned in Meeting pandas before moving on.

    Quiz · Locked

    20 min
Module 2 · 7 lessons · 4.3 hours LockedCleaning messy dataModule 2 of 4 in Data Analysis with Pandas.

  1. Overview and set-up

    Overview and set-up — Cleaning messy data in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Cleaning messy data in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Cleaning messy data in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Cleaning messy data in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Cleaning messy data in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Cleaning messy data in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  7. Module quiz: Cleaning messy data

    Check what you learned in Cleaning messy data before moving on.

    Quiz · Locked

    20 min
Module 3 · 7 lessons · 4.3 hours LockedGrouping and answering questionsModule 3 of 4 in Data Analysis with Pandas.

  1. Overview and set-up

    Overview and set-up — Grouping and answering questions in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Grouping and answering questions in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Grouping and answering questions in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Grouping and answering questions in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Grouping and answering questions in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Grouping and answering questions in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  7. Module quiz: Grouping and answering questions

    Check what you learned in Grouping and answering questions before moving on.

    Quiz · Locked

    20 min
Module 4 · 8 lessons · 6.3 hours LockedAdvanced techniquesModule 4 of 4 in Data Analysis with Pandas.

  1. Overview and set-up

    Overview and set-up — Advanced techniques in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Advanced techniques in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Advanced techniques in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Advanced techniques in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Advanced techniques in Data Analysis with Pandas.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Advanced techniques in Data Analysis with Pandas.

    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 Analysis with Pandas

    Apply everything from Data Analysis with Pandas in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Data Analysis with Pandas 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
Mariam K., Software & cloud

Your instructor

Mariam K.

Software & cloud

Helps new developers build reliable products through clear explanations and guided practice.

Diana Nsiiza, Yiga learner

“I use what I learned in my work now, not in some distant future project.”

Diana Nsiiza

Data analyst, Entebbe

Continue with

Your next best step.

Following the order of Data Analyst with Python.

See the full chain

Next lesson

Quick start: clean a messy spreadsheet with AI

Data Analysis with Pandas

8 min · Resume

Course 3 in the track

Data Visualisation for Decisions

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

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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

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