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:
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Arrays
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2D Arrays
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Stacks
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Queues (Deques, Circular)
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Linked Lists (Singly, Doubly and Circularly)
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Binary Trees
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Binary Search Trees
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Tree Traversals
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Heap (Min-Heap)
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Skip List
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AVL Trees
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Splay Trees
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Red-Black Trees
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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 – Dijkstra's Algorithm (Shortest Path)
Instructors
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Tyler Reed
Software Engineer Teaching at Udemy
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- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 3 votes
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