Easy To Advanced Data Structures

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This course is designed for those interested to learn about basic data structures.

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About This CourseBeginner

Data structures are among 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 arrays
  • Singly and doubly linked lists
  • Stacks
  • Queues
  • Heaps/Priority Queues
  • Binary Trees/Binary Search Trees
  • Union find/Disjoint Set
  • Hash tables
  • Fenwick trees

Course contents

This 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.

Requirements

  • Basic computer science knowledge

What will I 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

Who is the target audience?

  • Individuals hungry for new knowledge
  • Students who want a fundamental understanding of data structures

Our Promise to You

By the end of this course, you will have learned about advanced data structures.

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Course Curriculum

Course Sections

Abstract Data Types Introduction

Understanding Time/Space Complexity

Static And Dynamic Arrays

Dynamic Array Source Code

Linked List Introduction

Doubly Linked List Source Code

Understanding Stacks

Stack Implementation Details

Stack Source Code

Understanding Queues

Breadth First Search And Queue Implementation

Queue Source Code

What Is A Priority Queue?

Min Heaps And Max Heaps

Priority Queue Inserting Elements

Priority Queue Removing Elements

Priority Queue Source Code

Union Find Introduction

Kruskal’s Algorithm

Union And Find Operations

Path compression

Union Find Source Code

Introduction To Binary Trees

Binary Search Tree Insertions

Binary Search Tree Removals

Binary Tree Traversals

Binary Search Tree Source Code

Hash Table Hash Functions

Hash Table Separate Chaining

Hash Table Separate Chaining Source Code

Hash Table Open Addressing

Hash table Linear Probing

Hash Table Quadratic Probing

Hash Table Double Hashing

Hash Table Removing Key-Value Pairs

Hash Table Open Addressing Source Code

Fenwick Tree Range Queries

Fenwick Tree Point Updates

Fenwick Tree Construction

Fenwick Tree Source Code

Tree Rotations

AVL Tree Insertions

AVL Tree Removals

AVL Tree Source Code

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