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Trees Binary Trees BST

Track :

Programming

Lessons no : 39

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What will you learn in this course?
  • Understand binary tree structures and their properties for efficient data organization and retrieval
  • Implement binary search tree algorithms for insertion, deletion, and traversal in real-world applications
  • Analyze the time and space complexity of binary search tree operations for optimized performance
  • Design balanced binary search trees to improve search, insert, and delete efficiency in large datasets
  • Apply binary search trees to solve practical problems involving sorted data and dynamic datasets
  • Utilize recursive and iterative methods for binary tree traversal techniques like in-order, pre-order, and post-order
  • Identify and fix common issues such as tree imbalance and node duplication in binary search trees
  • Compare binary search trees with other data structures like arrays and linked lists for data management solutions
  • Develop code for binary search tree operations using programming languages like Java, Python, or C++
  • Evaluate the advantages of binary search trees in database indexing and search engine algorithms
  • Implement binary search trees to optimize search, insert, and delete operations in software applications
  • Apply binary search tree concepts to real-world scenarios involving hierarchical data and sorted datasets

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Lessons | 39


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Abhishek M T

teaching was good 2023-12-03

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As the name suggests, a Binary Search Tree or BST is a tree that is used in sorting, retrieving and searching data. It is also a type of non-linear data structure in which the nodes are arranged in a particular order. Hence, it is also called as .