Data Engineering · Beginner

Python for Data

Build reliable data workflows with Python, pandas, NumPy, and production-grade coding practices.

  • 24 hoursself-paced
  • 3 units9 lessons
  • 3 labs0 projects
  • 4 hrs/weeksuggested pace
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Course overview

Start the data engineering path with solid Python foundations. Learn to ingest, clean, validate, transform, and test datasets before building a complete batch pipeline.

Who this is for

You are starting this subject and want a guided route from fundamentals to a finished project.

Prerequisites

No previous OSEKOO ACADEMY course is required. Use the optional diagnostic to confirm your starting point.

Syllabus

Each unit combines explanation, guided practice, a checkpoint, and practical evidence. Open a unit to review the exact sequence.

1. Python Foundations for Data3 lessons

Lesson sequence

  1. Data types and control flow · Free preview
  2. Functions, modules, and environments
  3. Files, APIs, and exceptions
2. Data Manipulation3 lessons

Lesson sequence

  1. NumPy arrays and vectorization
  2. pandas DataFrames
  3. Cleaning and validation patterns
3. Production Data Pipelines3 lessons

Lesson sequence

  1. Pipeline architecture
  2. Testing data transformations
  3. Capstone: build a batch pipeline
How mastery is verified

Assessment model

Progress is more than watching lessons. You practise, receive checkpoint feedback, and submit evidence that can be reviewed.

  1. Check your starting pointTake the optional, unscored diagnostic.
  2. Practise and check understandingComplete labs and unit checkpoints as you learn.
  3. Prove the skillComplete every lesson and required lab, score 80% on the technical exam, and earn 70% on the reviewed project.
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