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Data Structures : Easy to Advanced

Data Structures : Easy to Advanced

By Skill Up

4.8(9)
  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • On-Demand course

  • 8 hours 59 minutes

  • All levels

Description

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this step-by-step Data Structures : Easy to Advanced training course. This Data Structures : Easy to Advanced course for Consistent Profits has been specially designed to help learners gain a good command of Data Structures : Easy to Advanced, providing them with a solid foundation of knowledge to understand relevant professionals' job roles.

Through this Data Structures : Easy to Advanced course, you will gain a theoretical understanding of Data Structures : Easy to Advanced and others relevant subjects that will increase your employability in this field, help you stand out from the competition, and boost your earning potential in no time.

Not only that, but this Data Structures : Easy to Advanced training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry.ย 

This course is fully CPD-accredited and broken down into several manageable modules, making it ideal for aspiring professionals.

Learning outcome
  • Familiar yourself with the recent development and updates of the relevant industry

  • Know how to use your theoretical knowledge to adapt in any working environment

  • Get help from our expert tutors anytime you need

  • Access to course contents that are designed and prepared by industry professionals

  • Study at your convenient time and from wherever you want

Why should I take this course?
  • Affordable premium-quality E-learning content, you can learn at your own pace.

  • You will receive a completion certificate upon completing the course.

  • Internationally recognized Accredited Qualification will boost up your resume.

  • You will learn the researched and proven approach adopted by successful people to transform their careers.

  • You will be able to incorporate various techniques successfully and understand your customers better.

Requirements
  • No formal qualifications required, anyone from any academic background can take this course.

  • Access to a computer or digital device with internet connectivity.

Course Curriculum

Unit 01 : Introduction

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Module 01: Promo Video

๐Ÿ• 00:02:00

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Module 02: Data Structure Introduction

๐Ÿ• 00:05:00

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Module 03: Computational Complexity Analysis

๐Ÿ• 00:13:00

Unit 02 : Arrays

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Module 01: Static and Dynamic Arrays

๐Ÿ• 00:12:00

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Module 02: Dynamic Arrays Source Code

๐Ÿ• 00:07:00

Unit 03 : Liked List

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Module 01: Singly and Doubly Linked Lists

๐Ÿ• 00:15:00

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Module 02: Doubly Linked Lists Source Code

๐Ÿ• 00:10:00

Unit 04 : Stack

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Module 01: Stack

๐Ÿ• 00:12:00

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Module 02: Stack Implementation

๐Ÿ• 00:04:00

Unit 05 : Queues

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Module 01: Queues (Part-1)

๐Ÿ• 00:06:00

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Module 02: Queues (Part-2)

๐Ÿ• 00:06:00

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Module 03: Queue Source Code

๐Ÿ• 00:04:00

Unit 06 : Priority Queues (PQs)

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Module 01: Priority Queues (PQs) with an interlude on heaps

๐Ÿ• 00:13:00

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Module 02: Turning Min PQ into Max PQ

๐Ÿ• 00:06:00

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Module 03: Adding Elements to Binary Heap

๐Ÿ• 00:10:00

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Module 04: Removing Elements from Binary Heap

๐Ÿ• 00:14:00

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Module 05: Priority Queue Binary Heap Source Code

๐Ÿ• 00:16:00

Unit 07 : Union Find

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Module 01: Disjoint Set

๐Ÿ• 00:06:00

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Module 02: Kruskal's Algorithm

๐Ÿ• 00:06:00

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Module 03: Union and Find Operations

๐Ÿ• 00:11:00

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Module 04: Path Compression Union Find

๐Ÿ• 00:07:00

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Module 05: Union Find Source Code

๐Ÿ• 00:08:00

Unit 08 : Binary Search Trees

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Module 01: Binary Trees and Binary Search Trees (BST)

๐Ÿ• 00:13:00

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Module 02: Inserting Element into a Binary Search Tree (BST)

๐Ÿ• 00:06:00

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Module 03: Removing Element from a Binary Search Tree (BST)

๐Ÿ• 00:14:00

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Module 04: Tree Traversals

๐Ÿ• 00:12:00

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Module 05: Binary Search Source Code

๐Ÿ• 00:13:00

Unit 09 : Fenwick Tree

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Module 01: Fenwick Tree Construction

๐Ÿ• 00:06:00

โ–ถ

Module 02: Point Updates

๐Ÿ• 00:06:00

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Module 03: Binary Indexed Tree

๐Ÿ• 00:14:00

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Module 04: Fenwick Tree Source Code

๐Ÿ• 00:06:00

Unit 10 : Hash Tables

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Module 01: Hash Table

๐Ÿ• 00:17:00

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Module 02: Separate Chaining

๐Ÿ• 00:08:00

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Module 03: Separate Chaining Source Code

๐Ÿ• 00:12:00

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Module 04: Open Addressing

๐Ÿ• 00:11:00

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Module 05: Linear Probing

๐Ÿ• 00:14:00

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Module 06: Quadratic Probing

๐Ÿ• 00:09:00

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Module 07: Double Hashing

๐Ÿ• 00:15:00

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Module 08: Removing Element Open Addressing

๐Ÿ• 00:08:00

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Module 09: Open Addressing Code

๐Ÿ• 00:15:00

Unit 11 : Suffix Array

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Module 01: Introduction

๐Ÿ• 00:03:00

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Module 02: The Longest Common Prefix (LCP) Array

๐Ÿ• 00:03:00

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Module 03: Using SA/LCP Array to Find Unique Substrings

๐Ÿ• 00:05:00

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Module 04: Longest Common Substring (LCS)

๐Ÿ• 00:11:00

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Module 05: Longest Common Substring (LCS) Full Example

๐Ÿ• 00:07:00

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Module 06: Longest Repeated Substring (LRS)

๐Ÿ• 00:05:00

Unit 12 : AVL Trees

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Module 01: Balanced Binary Search Trees (BBSTs)

๐Ÿ• 00:09:00

โ–ถ

Module 02: Inserting Elements into an AVL Tree

๐Ÿ• 00:10:00

โ–ถ

Module 03: Removing an AVL Tree

๐Ÿ• 00:09:00

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Module 04: AVL Tree Source Code

๐Ÿ• 00:17:00

Unit 13 : Indexed Priority Queue

โ–ถ

Module 01: Indexed Priority Queue (Part-1)

๐Ÿ• 00:25:00

โ–ถ

Module 02: Indexed Priority Queue Source Code

๐Ÿ• 00:09:00

Unit 14 : Sparse Tables

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Module 01: Sparse Table

๐Ÿ• 00:26:00

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Module 02: Sparse Table Source Code

๐Ÿ• 00:07:00

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