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Computational Thinking and Programming Course

Computational Thinking and Programming Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

You will learn the four pillars of computational thinking — decomposition, pattern recognition, abstraction, and algorithm design — and apply them directly in Python. The course covers core programming fundamentals, modular code design with functions, and Python's built-in data structures including lists, dictionaries, sets, and tuples. You will implement and analyse classic searching and sorting algorithms using Big-O notation. Object-oriented programming principles, file handling, and exception management prepare you to write production-quality code. The course closes with a full applied project where you plan, build, test, and document a real software solution using Git and pytest.

Elevify advantages

Develop skills

  • Python Programming: Write, run, and debug functional Python programs from scratch.
  • Algorithm Design: Build efficient searching and sorting solutions using Big-O analysis.
  • Object-Oriented Programming: Model real-world systems with classes, inheritance, and encapsulation.
  • Data Structure Selection: Choose the right collection type to optimise program performance.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload
Workload: between 4 and 360 hours

What our students say

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