Course 5 of 6

Data Cleaning & Validation

Text functions, Remove duplicates, Validation, 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.

Spreadsheet Essentials

Formulas & Functions

Data Cleaning & Validation

Pivot Tables & Charts

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 hoursText functionsModule 1 of 4 in Data Cleaning & Validation.
  1. Overview and set-up

    Overview and set-up — Text functions in Data Cleaning & Validation.

    Lesson

    40 min
  2. Core concepts

    Core concepts — Text functions in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  3. Worked example

    Worked example — Text functions in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  4. Hands-on practice

    Hands-on practice — Text functions in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  5. Module quiz: Text functions

    Check what you learned in Text functions before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedRemove duplicatesModule 2 of 4 in Data Cleaning & Validation.
  1. Overview and set-up

    Overview and set-up — Remove duplicates in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  2. Core concepts

    Core concepts — Remove duplicates in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  3. Worked example

    Worked example — Remove duplicates in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  4. Hands-on practice

    Hands-on practice — Remove duplicates in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  5. Module quiz: Remove duplicates

    Check what you learned in Remove duplicates before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedValidationModule 3 of 4 in Data Cleaning & Validation.
  1. Overview and set-up

    Overview and set-up — Validation in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  2. Core concepts

    Core concepts — Validation in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  3. Worked example

    Worked example — Validation in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  4. Hands-on practice

    Hands-on practice — Validation in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  5. Module quiz: Validation

    Check what you learned in Validation before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedConditional formattingModule 4 of 4 in Data Cleaning & Validation.
  1. Overview and set-up

    Overview and set-up — Conditional formatting in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  2. Core concepts

    Core concepts — Conditional formatting in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  3. Worked example

    Worked example — Conditional formatting in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  4. Hands-on practice

    Hands-on practice — Conditional formatting in Data Cleaning & Validation.

    Lesson · Locked

    40 min
  5. Module quiz: Conditional formatting

    Check what you learned in Conditional formatting before moving on.

    Quiz · Locked

    20 min
  6. Graded project: Data Cleaning & Validation

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

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Data Cleaning & Validation 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
Daniel O., Data & analytics

Your instructor

Daniel O.

Data & analytics

Turns real African data problems into practical lessons learners can apply immediately.

Brian Okello, Yiga learner

“The course content made machine learning understandable, and the practice kept me moving.”

Brian Okello

Software developer, Kampala

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