Yiga AI

Course 4 of 5

Risk, Fraud & Credit Analytics

Models, Monitoring, Alternative data, and more.

Yiga AI

Beginner en

Beginner · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
12
Hands-on exercises
12
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

AI in Financial Services

Customer Service & Onboarding with AI

Risk, Fraud & Credit Analytics

Product Innovation & Mobile Money

Syllabus

Every module, step by step.

3 modules · 16 lessons · 11 hours · 1 graded project

660 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 hoursModelsModule 1 of 3 in Risk, Fraud & Credit Analytics.

  1. Overview and set-up

    Overview and set-up — Models in Risk, Fraud & Credit Analytics.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Models in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Models in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Models in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  5. Module quiz: Models

    Check what you learned in Models before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedMonitoringModule 2 of 3 in Risk, Fraud & Credit Analytics.

  1. Overview and set-up

    Overview and set-up — Monitoring in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Monitoring in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Monitoring in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Monitoring in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  5. Module quiz: Monitoring

    Check what you learned in Monitoring before moving on.

    Quiz · Locked

    20 min
Module 3 · 6 lessons · 5 hours LockedAlternative dataModule 3 of 3 in Risk, Fraud & Credit Analytics.

  1. Overview and set-up

    Overview and set-up — Alternative data in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Alternative data in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Alternative data in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Alternative data in Risk, Fraud & Credit Analytics.

    Lesson · Locked

    40 min

  5. Module quiz: Alternative data

    Check what you learned in Alternative data before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Risk, Fraud & Credit Analytics

    Apply everything from Risk, Fraud & Credit Analytics in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Risk, Fraud & Credit Analytics 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 AI for Banking & Fintech.

See the full chain

Next lesson

Overview and set-up

Risk, Fraud & Credit Analytics

40 min · Resume

Course 5 in the track

Product Innovation & Mobile Money

Design, Data, Partnerships, and more.

Beginner · Course · 3 weeks at 5 hrs/week

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