Yiga AI

Course 3 of 11

Python for Data Engineering

ETL scripts, Logging, Testing, 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.

Data Engineering Foundations

Advanced SQL for Engineers

Python for Data Engineering

Data Warehousing

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 hoursETL scriptsModule 1 of 4 in Python for Data Engineering.

  1. Overview and set-up

    Overview and set-up — ETL scripts in Python for Data Engineering.

    Lesson

    40 min

  2. Core concepts

    Core concepts — ETL scripts in Python for Data Engineering.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — ETL scripts in Python for Data Engineering.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — ETL scripts in Python for Data Engineering.

    Lesson · Locked

    40 min

  5. Module quiz: ETL scripts

    Check what you learned in ETL scripts before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedLoggingModule 2 of 4 in Python for Data Engineering.

  1. Overview and set-up

    Overview and set-up — Logging in Python for Data Engineering.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Logging in Python for Data Engineering.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Logging in Python for Data Engineering.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Logging in Python for Data Engineering.

    Lesson · Locked

    40 min

  5. Module quiz: Logging

    Check what you learned in Logging before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedTestingModule 3 of 4 in Python for Data Engineering.

  1. Overview and set-up

    Overview and set-up — Testing in Python for Data Engineering.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Testing in Python for Data Engineering.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Testing in Python for Data Engineering.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Testing in Python for Data Engineering.

    Lesson · Locked

    40 min

  5. Module quiz: Testing

    Check what you learned in Testing before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedPackagingModule 4 of 4 in Python for Data Engineering.

  1. Overview and set-up

    Overview and set-up — Packaging in Python for Data Engineering.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Packaging in Python for Data Engineering.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Packaging in Python for Data Engineering.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Packaging in Python for Data Engineering.

    Lesson · Locked

    40 min

  5. Module quiz: Packaging

    Check what you learned in Packaging before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Python for Data Engineering

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

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Python for Data Engineering 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 Engineer.

See the full chain

Next lesson

Overview and set-up

Python for Data Engineering

40 min · Resume

Course 4 in the track

Advanced SQL for Engineers

Performance, Partitioning, Transactions, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

Course 5 in the track

Data Quality & Governance

Validation, Lineage, Privacy, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

Course 6 in the track

Data Engineering Foundations

Roles, Architectures, Batch vs streaming, 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 courseCloud Data PlatformsNext courseAdvanced SQL for Engineers

Keep going

Other courses in this track.

View full track
Streaming with Kafka cover illustration
Data

16 lessons · 14h · Advanced

Streaming with Kafka

Topics, Producers/consumers, Stream processing, and more.

Yiga Plus
Cloud Data Platforms cover illustration
Data

20 lessons · 16.7h · Intermediate

Cloud Data Platforms

AWS/GCP/Azure services, Storage, IAM, and more.

Yiga Plus