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Computational Thinking

Problem-solving methodologies, algorithmic thinking, and programming fundamentals for data science.

Qualifier 📅 12 Weeks 🚀 Beginner
1
Week Completed
20
Topics Covered
8
Progress %
Week 1 of 12 completed

🧠 Week 1: Introduction to Computational Thinking

1.1 What is Computational Thinking?

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Understanding problem decomposition, pattern recognition, and abstraction.

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1.2 Problem Solving Strategies

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Systematic approaches to breaking down complex problems into manageable parts.

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1.3 Algorithms & Pseudocode

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Step-by-step procedures and writing clear algorithmic instructions.

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🎯 Week 1 Summary

This week introduces the fundamental concepts of computational thinking, problem-solving strategies, and algorithmic design principles.

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Week 2: Flowcharts & Logic

Coming soon! This week will cover flowchart design, logical thinking, and decision-making processes.

Planned Topics

2.1
Flowchart Symbols & Conventions
2.2
Decision Structures (If/Else)
2.3
Logical Operators & Truth Tables
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Week 3: Programming Basics

Coming soon! This week will introduce basic programming concepts and Python fundamentals.

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Week 4: Data Structures

Coming soon! This week will explore basic data structures and their applications.