# Binary Search Tree | Binary Search Trees(BST) Explained | Data Structures Tutorial

This video is based on a Binary search tree. This data structures tutorial makes sure that the binary search tree(BST) explained well and will help the beginners understand the basics with some Binary search tree examples. The video also covers practical demo for a better learning experience.

This video is based on a Binary search tree. This data structures tutorial makes sure that the binary search tree(BST) explained well and will help the beginners understand the basics with some Binary search tree examples. The video also covers practical demo for a better learning experience.

This video will cover the following concepts:

• 00:00 Introduction
• 00:45 What is Binary search Tree
• 01:18 Properties of Binary search Tree
• 01:48 Operation
• 02:03 Insertion
• 12:33 Deletion
• 34:03 Conclusion

What is a Binary search Tree? BST is a set of nodes organized in such a manner that they all have the same BST characteristics. A key and a value are assigned to each node.

What Is a Data Structure? The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.

Why Is Data Structure Important? The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

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