Learning Tree Data structure [Java]
Learning Tree Data structure [Java], available at $19.99, has an average rating of 4.65, with 6 lectures, based on 14 reviews, and has 1927 subscribers.
You will learn about Clear understanding of Tree Data structure How to use Breadth First Search in Tree Data structure How to use Depth First Search in Tree Data structure Visualize the Code flow using Debugger in Leetcode This course is ideal for individuals who are Beginner and People who find hard to work on Tree data structures can take this course It is particularly useful for Beginner and People who find hard to work on Tree data structures can take this course.
Enroll now: Learning Tree Data structure [Java]
Summary
Title: Learning Tree Data structure [Java]
Price: $19.99
Average Rating: 4.65
Number of Lectures: 6
Number of Published Lectures: 6
Number of Curriculum Items: 6
Number of Published Curriculum Objects: 6
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- Clear understanding of Tree Data structure
- How to use Breadth First Search in Tree Data structure
- How to use Depth First Search in Tree Data structure
- Visualize the Code flow using Debugger in Leetcode
Who Should Attend
- Beginner and People who find hard to work on Tree data structures can take this course
Target Audiences
- Beginner and People who find hard to work on Tree data structures can take this course
Course Description:
This course explains how we can solve problems involving Tree data structure. First, the concept is explained in white board and then the solution is coded for better understanding.
When we see a tree data structure, the first thing we need to identify is to use either Breadth-first Search or Depth-first search. This course differentiates the Breadth-first search and Depth-first search problems and the different techniques used in them.
Depth First search uses recursion. It is very hard to visualize recursion. This course uses a debugger and this helps in visualizing the code flow.
What is Tree data structure?
A tree is non-linear and a hierarchical data structure consisting of a collection of nodes such that each node of the tree stores a value and a list of references to other children nodes .
Applications :
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Store hierarchical data, like folder structure, organization structure, XML/HTML data.
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Binary Search Tree is a tree that allows fast search, insert, delete on a sorted data. It also allows finding closest item
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Heap is a tree data structure which is implemented using arrays and used to implement priority queues.
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B-Tree and B+ Tree : They are used to implement indexing in databases.
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Syntax Tree: Scanning, parsing , generation of code and evaluation of arithmetic expressions in Compiler design.
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Trie : Used to implement dictionaries with prefix lookup.
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Suffix Tree : For quick pattern searching in a fixed text.
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Spanning Trees and shortest path trees are used in routers and bridges respectively in computer networks
etc
Course Curriculum
Chapter 1: Breadth First Search
Lecture 1: Level Order Traversal
Lecture 2: ZigZag traversal of tree
Lecture 3: Right view of Tree
Chapter 2: Depth First Search
Lecture 1: In-order Traversal
Lecture 2: Pre order Traversal
Lecture 3: Post order traversal
Instructors
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Monish Njs
SDE 3 @ PayPal
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 3 votes
- 4 stars: 4 votes
- 5 stars: 7 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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