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Easy to Advanced Data Structures - OneDDL - 08-27-2024
![[Image: 383f3ea337a6b23c334b31b036be109e.jpeg]](https://i123.fastpic.org/big/2024/0827/9e/383f3ea337a6b23c334b31b036be109e.jpeg)
Free Download Easy to Advanced Data Structures
Last updated 3/2020
Created by William Fiset
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + vtt | Duration: 48 Lectures ( 8h 17m ) | Size: 1.26 GB
A complete guide to learning everything there is to know about data structures
What you'll learn:
Mature understanding of data structures
Algorithms associated with data structures
Dynamic arrays
Singly and doubly linked list
Queues & Stacks
Binary Trees and Binary search trees
Heaps & Priority queues
Union find/Disjoint set
Hash table/Associative array
Fenwick tree/Binary indexed tree
Requirements:
Basic computer science knowledge
Description:
Data structures are amongst the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course will teach you how to master the fundamental ideas surrounding data structures.Learn and master the most common data structures in this comprehensive course:Static and dynamic arraysSingly and doubly linked listsStacksQueuesHeaps/Priority QueuesBinary Trees/Binary Search TreesUnion find/Disjoint SetHash tablesFenwick treesAVL treesBinary Indexed treesSparse tablesCourse contentsThis course provides you with high quality animated videos explaining a multitude of data structures and how they are represented visually. You will learn how to code various data structures together with simple to follow step-by-step instructions. Every data structure presented will be accompanied by some working source code (in Java) to solidify your understanding of that particular data structure. I will also be posting various coding exercises and multiple choice questions to ensure that you get some hands on experience.
Who this course is for:
Individuals hungry for new knowledge
Students who want a fundamental understanding of data structures
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