Data Structures and Algorithms in java

Data Structures and Algorithms in java, available at $19.99, has an average rating of 4.5, with 44 lectures, based on 243 reviews, and has 7002 subscribers.

You will learn about Learn Linear & Non-Linear Data Structures plus Algorithms Coding & strong concepts regarding data structures and algorithms Topics like Linked List, Stack, Queue, Array Coding & explanation of Algorithms like Selection sort, Insertion sort that are of core importance. Tree and Binary Search Tree (BST) in Non-Linear Data Structures This course is ideal for individuals who are Students who want to learn data structures and algorithms should take this course. or Who wants to make strong concepts in Data Structures or Learn Algorithms like selection sort and insertion sort It is particularly useful for Students who want to learn data structures and algorithms should take this course. or Who wants to make strong concepts in Data Structures or Learn Algorithms like selection sort and insertion sort.

Enroll now: Data Structures and Algorithms in java

Summary

Title: Data Structures and Algorithms in java

Price: $19.99

Average Rating: 4.5

Number of Lectures: 44

Number of Published Lectures: 44

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 44

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Linear & Non-Linear Data Structures plus Algorithms

Coding & strong concepts regarding data structures and algorithms

Topics like Linked List, Stack, Queue, Array

Coding & explanation of Algorithms like Selection sort, Insertion sort that are of core importance.

Tree and Binary Search Tree (BST) in Non-Linear Data Structures

Who Should Attend

Students who want to learn data structures and algorithms should take this course.

Who wants to make strong concepts in Data Structures

Learn Algorithms like selection sort and insertion sort

Target Audiences

Students who want to learn data structures and algorithms should take this course.

Who wants to make strong concepts in Data Structures

Learn Algorithms like selection sort and insertion sort

This course data Structures and Algorithms using java includes explanation of various data structures with coding examples, provided with detail explanation of code side by side with concept building.

Most important Data Structures like 

Linked List, Binary Search Tree(BST), stack, Queue are explained in detail with concepts made easy to understand.

Algorithms like

Selection Sort, Insertion Sort are part of this course with visual explanations.

This course is for students who want good understanding of data structures and algorithms and want to understand code.

By taking this course students will be able to use these skills to write or understand data structures in other languages as well, because concepts build from this course are very generic regarding Data structures and Algorithms.

Topics like BST and Linked List are in very detail so that you can have good grip over them and they are of core importance.

There are animations to help you understand topics, so beside code visual explanations help a lot.

Topics like BST and Linked List need extra care to understand well.

Similarly Selection Sort, Insertion Sort are explained in code and visually.

So by taking this course you will be good in a lot of topics in Data structures.

Course Curriculum

Chapter 1: Data Structures

Lecture 1: Introduction (Linear and Non-Linear DataStructures)

Chapter 2: Linked Lists

Lecture 1: Linked List Explanation

Lecture 2: node

Lecture 3: Making Node class

Lecture 4: Inserting in Linked List

Lecture 5: Insert

Lecture 6: Insert values

Lecture 7: print

Lecture 8: Print Linked List

Lecture 9: delete

Lecture 10: Delete from Linked List

Lecture 11: Delete values

Lecture 12: Search Explanation

Lecture 13: Search

Chapter 3: Array

Lecture 1: Array Explanation

Lecture 2: Array Code

Chapter 4: Stack (Linear Data Structure)

Lecture 1: Stack Explanation

Lecture 2: Stack Code

Chapter 5: Queue

Lecture 1: Queue Explanation

Lecture 2: Queue Class

Lecture 3: Enqueue

Lecture 4: Traversing a Queue Explanation

Lecture 5: Dequeue Explanation

Chapter 6: Trees

Lecture 1: Tree

Lecture 2: Binary Search Tree

Lecture 3: Node Explanation

Lecture 4: Binary Search Tree Node

Lecture 5: Inserting in BST (Binary Search Tree) Explanation

Lecture 6: Insert in BST

Lecture 7: Insert values

Lecture 8: Preorder traversal Explanation

Lecture 9: Preorder traversal

Lecture 10: Inorder traversal Explanation

Lecture 11: Inorder traversal

Lecture 12: Postorder traversal Explanation

Lecture 13: Postorder traversal

Chapter 7: Delete from BST

Lecture 1: Min value node

Lecture 2: Min value Node Code

Lecture 3: Delete from BST Explanation

Lecture 4: Delete

Chapter 8: Algorithms

Lecture 1: Selection Sort Explanation

Lecture 2: Selection Sort

Lecture 3: Insertion Sort Explanation

Lecture 4: Insertion Sort

Instructors

Muhammad Hamza AbdulRehman
Developer and mentor.

Rating Distribution

1 stars: 6 votes

2 stars: 9 votes

3 stars: 45 votes

4 stars: 107 votes

5 stars: 76 votes

Frequently Asked Questions

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