Yiga AI

Course 4 of 17

Data Cleaning in Python

Missing values, Duplicates, Types & dates, 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 hoursMissing valuesModule 1 of 4 in Data Cleaning in Python.

  1. Overview and set-up

    Overview and set-up — Missing values in Data Cleaning in Python.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Missing values in Data Cleaning in Python.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Missing values in Data Cleaning in Python.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Missing values in Data Cleaning in Python.

    Lesson · Locked

    40 min

  5. Module quiz: Missing values

    Check what you learned in Missing values before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedDuplicatesModule 2 of 4 in Data Cleaning in Python.

  1. Overview and set-up

    Overview and set-up — Duplicates in Data Cleaning in Python.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Duplicates in Data Cleaning in Python.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Duplicates in Data Cleaning in Python.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Duplicates in Data Cleaning in Python.

    Lesson · Locked

    40 min

  5. Module quiz: Duplicates

    Check what you learned in Duplicates before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedTypes & datesModule 3 of 4 in Data Cleaning in Python.

  1. Overview and set-up

    Overview and set-up — Types & dates in Data Cleaning in Python.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Types & dates in Data Cleaning in Python.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Types & dates in Data Cleaning in Python.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Types & dates in Data Cleaning in Python.

    Lesson · Locked

    40 min

  5. Module quiz: Types & dates

    Check what you learned in Types & dates before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedOutliersModule 4 of 4 in Data Cleaning in Python.

  1. Overview and set-up

    Overview and set-up — Outliers in Data Cleaning in Python.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Outliers in Data Cleaning in Python.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Outliers in Data Cleaning in Python.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Outliers in Data Cleaning in Python.

    Lesson · Locked

    40 min

  5. Module quiz: Outliers

    Check what you learned in Outliers before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Data Cleaning in Python

    Apply everything from Data Cleaning in Python in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Data Cleaning 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

Data Cleaning in Python

40 min · Resume

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

Course 7 in the track

Project: Mobile Money Transactions Analysis

Clean dataset, Analyse patterns, Visualise, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

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Previous courseData Visualisation for DecisionsNext courseIntroduction to Python

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