Data Structures 2022 Clearly Explained Beginner to Advanced

Data Structures 2022 Clearly Explained Beginner to Advanced, available at $59.99, has an average rating of 5, with 74 lectures, 10 quizzes, based on 3 reviews, and has 29 subscribers.

You will learn about A Complete Understanding of Data Structures in Java Explaining through organized presentations and examples We will translate your understanding of Data Structures through the explanations and examples to Code Beginner and Advanced Data Structures will be taught This course is ideal for individuals who are Beginner to Advanced developers who want a better understanding of Data Structures. or College Students needing supplemental help or clear explanations of Data Structures. or Software Engineers needing help with Interview Questions. It is particularly useful for Beginner to Advanced developers who want a better understanding of Data Structures. or College Students needing supplemental help or clear explanations of Data Structures. or Software Engineers needing help with Interview Questions.

Enroll now: Data Structures 2022 Clearly Explained Beginner to Advanced

Summary

Title: Data Structures 2022 Clearly Explained Beginner to Advanced

Price: $59.99

Average Rating: 5

Number of Lectures: 74

Number of Quizzes: 10

Number of Published Lectures: 74

Number of Published Quizzes: 10

Number of Curriculum Items: 87

Number of Published Curriculum Objects: 87

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

A Complete Understanding of Data Structures in Java

Explaining through organized presentations and examples

We will translate your understanding of Data Structures through the explanations and examples to Code

Beginner and Advanced Data Structures will be taught

Who Should Attend

Beginner to Advanced developers who want a better understanding of Data Structures.

College Students needing supplemental help or clear explanations of Data Structures.

Software Engineers needing help with Interview Questions.

Target Audiences

Beginner to Advanced developers who want a better understanding of Data Structures.

College Students needing supplemental help or clear explanations of Data Structures.

Software Engineers needing help with Interview Questions.

In this course we’ll go over Data Structures for Javawith explanations, examples, and then finally codingthem.  We will start with simple Data Structures such as Stacks and Queues, and gradually move to more advanced topics such as Splay Trees and AVL Trees to Graphs. 

We will help you from a beginner understanding of how these Data Structures work or if you have some knowledge already, this course will supplement and even give you better ideas through examples and a structured presentation.  If you need help with Interviews with more knowledge of Data Structures, this course will help.

There are some coding exercises which are derived from Interview Questions and help understanding how Data Structures can be used to solve problems.

We provide examples for Tree Data Structures as they can be tricky, for instance with AVL Trees.  Learning Balanceable Tree structures can be confusing, but we will alleviate any confusion with examples and organized presentations.

Here is what you will be learning:

Arrays

2D Arrays

Stacks

Queues (Deques, Circular)

Linked Lists (Singly, Doubly and Circularly)

Binary Trees

Binary Search Trees

Tree Traversals

Heap (Min-Heap)

Skip List

AVL Trees

Splay Trees

Red-Black Trees

Graphs

By the end of this  course, you will understandhow these Data Structures work and will have running code to test them!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Quick Introduction Article!

Lecture 2: Introduction Video

Lecture 3: Github

Chapter 2: Arrays

Lecture 1: Arrays Explained

Lecture 2: Arrays Coded

Lecture 3: 2D Arrays Explained

Lecture 4: 2D Arrays Coded

Lecture 5: Coding Exercise Solution: Reverse Array

Chapter 3: Linked Lists

Lecture 1: Singly Linked List Explained

Lecture 2: Singly Link List Coded

Lecture 3: Circularly Linked List Explained

Lecture 4: Circularly Linked List Coded

Lecture 5: Doubly Linked List Explained

Lecture 6: Doubly Linked List Coded

Lecture 7: Assignment Solution #2

Chapter 4: Stacks

Lecture 1: Stack Explained

Lecture 2: Stack Coded

Lecture 3: Stack Tested

Chapter 5: Queues

Lecture 1: Queue Explained

Lecture 2: Queue Coded

Lecture 3: Deque Explained

Lecture 4: Deque Coded

Chapter 6: Trees

Lecture 1: General Trees Explained

Lecture 2: General Tree Vocabulary Explained

Lecture 3: Binary Tree Explained

Lecture 4: Binary Search Tree Explained

Lecture 5: Binary Search Tree Example

Lecture 6: Tree Traversals Explained

Lecture 7: Binary Search Tree Coded – Insertion

Lecture 8: Binary Search Tree Coded – Deletion

Lecture 9: Binary Search Tree Coded – Height and Depth

Lecture 10: Tree Traversals Coded

Lecture 11: Binary Search Tree Test the Code!

Chapter 7: Heaps

Lecture 1: Heaps Explained

Lecture 2: Heap Example

Lecture 3: Heaps Coded

Lecture 4: Heaps Tested

Chapter 8: Balanceable Tree

Lecture 1: Balanceable Tree Class Coded Introduction

Lecture 2: Balanceable Tree Class Coded Searching

Lecture 3: Balanceable Tree Class Coded Insertion

Lecture 4: Balanceable Tree Class Coded Rotation

Lecture 5: Balanceable Tree Class Coded Deletion

Chapter 9: Skip List

Lecture 1: Skip List Explained

Lecture 2: Skip List Coded Introduction and Searching

Lecture 3: Skip List Coded Insertion

Lecture 4: Skip List Coded Deletion

Lecture 5: Skip List Test the Code!

Chapter 10: AVL Tree

Lecture 1: AVL Tree Explained

Lecture 2: Before you Code the AVL Tree

Lecture 3: AVL Tree Coded – Introduction

Lecture 4: AVL Tree Coded – Balanceable Methods

Lecture 5: AVL Tree Code Tested

Chapter 11: Splay Tree

Lecture 1: Splay Tree Explained

Lecture 2: Before you Code Splay Trees

Lecture 3: Splay Tree Coded

Lecture 4: Splay Tree Coded – Balanceable Methods

Lecture 5: Splay Tree Test the Code!

Chapter 12: Red Black Tree

Lecture 1: Red Black Tree Explained Intro

Lecture 2: Red Black Tree Explained Insertion

Lecture 3: Red Black Tree Explained Insertion – Case #1

Lecture 4: Red Black Tree Explained Insertion – Case #2

Lecture 5: Red Black Tree Explained Deletion

Lecture 6: Red Black Tree Explained Deletion – Case #1

Lecture 7: Red Black Tree Explained Deletion – Case #2

Lecture 8: Red Black Tree Explained Deletion – Case #3

Lecture 9: Before you Code Red-Black Trees

Lecture 10: Red Black Tree Coded

Chapter 13: Graphs

Lecture 1: Graphs Explained – Introduction

Lecture 2: Graphs Explained – Adjacency List

Lecture 3: Graphs Explained – Adjacency Map

Lecture 4: Graphs Explained – Adjacency Matrix

Lecture 5: Graph Traversals – Depth-First Search

Lecture 6: Graph Traversals – Breadth-First Search

Lecture 7: Graph Traversals – Dijkstras Algorithm (Shortest Path)

Instructors

Tyler Reed
Software Engineer Teaching at Udemy

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5 stars: 3 votes

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