MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 74 lectures (5h 55m) | Size: 1.2 GB
Includes Stacks, Queues, and Basic Trees to Red-Black Trees, AVL Trees, and Graphs coded in Java
What you’ll 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
Requirements
Beginner Java programming experience needed. You will learn to code the Data Structures through Java.
Description
In this course we’ll go over Data Structures for Java with explanations, examples, and then finally coding them. 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 understand how these Data Structures work and will have running code to test them!
Who this course is for
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.
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