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Trees and Graphs: Basics
Master fundamental tree and graph algorithms with hands-on implementation in Python for advanced data structures.
Course Cost
Free course
Advanced
Skill Level
32 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Foundations of Data Structures and Algorithms Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
14,533 Enrolled
English
What you'll learn
Master binary search tree operations and balancing techniques
Implement graph traversal algorithms effectively
Understand strongly connected components in graphs
Develop efficient shortest path algorithms
Analyze and optimize tree and graph algorithms
Skills you'll gain
This course includes:
9.2 Hours PreRecorded video
16 quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This comprehensive course covers fundamental algorithms for tree and graph data structures. Students learn about binary search trees, self-balancing trees, graph traversals, and advanced topics like shortest path algorithms. The curriculum combines theoretical concepts with practical Python implementations, preparing students for real-world algorithm design and analysis challenges.
Binary Search Trees and Algorithms on Trees
Module 1 · 9 Hours to complete
Basics of Graphs and Graphs Traversals
Module 2 · 8 Hours to complete
Union-Find Data Structures and Spanning Tree Algorithms
Module 3 · 7 Hours to complete
Shortest Path Algorithms
Module 4 · 8 Hours to complete
Fee Structure
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Faculties
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Frequently asked Questions
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