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Computational Thinking for Problem Solving
Learn systematic problem-solving using computer science concepts. Develop algorithms and basic Python skills.
Course Cost
₹ 2,699
Beginner
Skill Level
16 Hours
Self-paced lessons
Master computational thinking and problem-solving with this beginner-friendly course. Learn to approach complex issues systematically using computer science concepts. Explore the four pillars of computational thinking: decomposition, pattern recognition, data representation, and algorithms. Gain hands-on experience in algorithm development and analysis. Discover the fundamentals of computer architecture and learn to express solutions using pseudocode. Acquire basic Python programming skills to implement your algorithms. Perfect for students from any field looking to enhance their analytical and problem-solving abilities.
1,20,440 Enrolled
English
What you'll learn
Understand and apply the four pillars of computational thinking
Develop and analyze algorithms for problem-solving
Learn the fundamentals of computer architecture and operations
Express algorithms using pseudocode
Write simple Python programs to implement computational solutions
Apply computational thinking to real-world problems across various disciplines
Skills you'll gain
This course includes:
3 Hours PreRecorded video
27 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course introduces computational thinking as a problem-solving approach using computer science concepts. Students learn the four pillars of computational thinking: decomposition, pattern recognition, data representation and abstraction, and algorithms. The course covers algorithm development and analysis, computer architecture basics, pseudocode, and introductory Python programming. Designed for beginners from any field, it provides a foundation for approaching complex problems systematically and expressing solutions computationally.
Pillars of Computational Thinking
Module 1 · 3 Hours to complete
Expressing and Analyzing Algorithms
Module 2 · 4 Hours to complete
Fundamental Operations of a Modern Computer
Module 3 · 3 Hours to complete
Applied Computational Thinking Using Python
Module 4 · 6 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Students
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.