Computational Thinking

About Course
This Computational Thinking is designed to equip employees across all functions— whether in operations, HR, finance, customer service, or marketing — with a powerful, structured approach to solving workplace problems. By learning the four pillars of computational thinking — decomposition, pattern recognition, abstraction, and algorithmic thinking—employees will be able to break down complex challenges, identify meaningful patterns, focus on what truly matters, and develop clear, step-by-step solutions. The course emphasizes real-world application, helping participants improve workflows, make better decisions, and communicate more effectively with both peers and digital systems. Through interactive lessons, practical exercises, and job-relevant examples, employees will develop a sharper, more logical mindset that enhances their value and performance in any role.
Course Content
Computational Thinking
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Computational Thinking Introduction
13:58 -
Decomposition Small Tasks
12:49 -
Pattern Recognition
14:36 -
Abstraction Focus Key Things
14:11 -
Algorithms at Work
12:46 -
Applying Computational Thinking
13:52 -
Digital Mindset Thinking
14:34 -
Decision Making Using Computational Thinking
14:40 -
Communicating with Precision and Structure
13:30 -
Real World Projects and Wrap Up
14:13