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Easy to Advanced Data Structures Masterclass

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Course Overview

Do you know, effective use of data structure can increase the efficiency of your software design process? To create efficient algorithms and continue a smooth software design process Data Structure is one of the most fundamental ingredients. Learn the basics of data structure and how you can use them from this Easy to Advanced Data Structures Masterclass course and create incredible software designs using that knowledge.

This Easy to Advanced Data Structures Masterclass course will help you to strengthen your basics, clear misunderstandings and get hold of the functions of data structure and how you can use it. The animated video lessons will help you understand data Structure easily. You will learn about Static and dynamic arrays, linked lists, stacks, queues, search trees, hash tables, sparse tables and many other functions that will help you understand how you can use data structure and create efficient software designs.

Learning Outcomes

  • Understand the basics of data structure 
  • Familiarize with the algorithms associated with data structure 
  • Be able to include linked lists, dynamic arrays, queues and stacks in your data structure project 
  • Learn what Static and dynamic arrays are 
  • Be able to Union or disjoint sets in your data table 
  • Get a clear understanding of hash tables and how they work

Who is this course for?

This course is ideal for anyone who wants to learn about data structure or strengthen their basics. It is especially helpful for those who work in the IT industry and deal with database management.

Entry Requirement

  • This course is available to all learners, of all academic backgrounds.
  • Learners should be aged 16 or over to undertake the qualification.
  • Good understanding of English language, numeracy and ICT are required to attend this course.


  • After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24.
  • PDF certificate’s turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days.

Why choose us?

  • Affordable, engaging & high-quality e-learning study materials;
  • Tutorial videos/materials from the industry-leading experts;
  • Study in a user-friendly, advanced online learning platform;
  • Efficient exam systems for the assessment and instant result;
  • The UK & internationally recognized accredited qualification;
  • Access to course content on mobile, tablet or desktop from anywhere anytime;
  • The benefit of career advancement opportunities;
  • 24/7 student support via email.

Career Path

Easy to Advanced Data Structures Masterclass is a useful qualification to possess and would be beneficial for any related profession or industry such as:

  • Software Engineers
  • Programmers 
  • Web Designers 
  • Web Developers 
  • App Developers

Course Curriculum

Unit 01: Introduction
Module 01: Promo Video 00:02:00
Module 02: Data Structure Introduction 00:05:00
Module 03: Computational Complexity Analysis 00:13:00
Unit 02: Arrays
Module 01: Static and Dynamic Arrays 00:12:00
Module 02: Dynamic Arrays Source Code 00:07:00
Unit 03: Linked List
Module 01: Singly and Doubly Linked Lists 00:15:00
Module 02: Doubly Linked Lists Source Code 00:10:00
Unit 04: Stack
Module 01: Stack 00:12:00
Module 02: Stack Implementation 00:04:00
Module 03: Stack Source Code 00:04:00
Unit 05: Queues
Module 01: Queues (Part-1) 00:06:00
Module 02: Queues (Part-2) 00:06:00
Module 03: Queue Source Code 00:04:00
Unit 06: Priority Queues (PQs)
Module 01: Priority Queues (PQs) with an interlude on heaps 00:13:00
Module 02: Turning Min PQ into Max PQ 00:06:00
Module 03: Adding Elements to Binary Heap 00:10:00
Module 04: Removing Elements from Binary Heap 00:14:00
Module 05: Priority Queue Binary Heap Source Code 00:16:00
Unit 07: Union Find
Module 01: Disjoint Set 00:06:00
Module 02: Kruskal’s Algorithm 00:06:00
Module 03: Union and Find Operations 00:11:00
Module 04: Path Compression Union Find 00:07:00
Module 05: Union Find Source Code 00:08:00
Unit 08: Binary Search Trees
Module 01: Binary Trees and Binary Search Trees (BST) 00:13:00
Module 02: Inserting Element into a Binary Search Tree (BST) 00:06:00
Module 03: Removing Element from a Binary Search Tree (BST) 00:14:00
Module 04: Tree Traversals 00:12:00
Module 05: Binary Search Source Code 00:13:00
Unit 09: Fenwick Tree
Module 01: Fenwick Tree Construction 00:06:00
Module 02: Point Updates 00:06:00
Module 03: Binary Indexed Tree 00:14:00
Module 04: Fenwick Tree Source Code 00:06:00
Unit 10: Hash Tables
Module 01: Hash Table 00:17:00
Module 02: Separate Chaining 00:08:00
Module 03: Separate Chaining Source Code 00:12:00
Module 04: Open Addressing 00:11:00
Module 05: Linear Probing 00:14:00
Module 06: Quadratic Probing 00:09:00
Module 07: Double Hashing 00:15:00
Module 08: Removing Element Open Addressing 00:08:00
Module 09: Open Addressing Code 00:15:00
Unit 11: Suffix Array
Module 01: Introduction 00:03:00
Module 02: The Longest Common Prefix (LCP) Array 00:03:00
Module 03: Using SA/LCP Array to Find Unique Substrings 00:05:00
Module 04: Longest Common Substring (LCS) 00:11:00
Module 05: Longest Common Substring (LCS) Full Example 00:07:00
Module 06: Longest Repeated Substring (LRS) 00:05:00
Unit 12: AVL Trees
Module 01: Balanced Binary Search Trees (BBSTs) 00:09:00
Module 02: Inserting Elements into an AVL Tree 00:10:00
Module 03: Removing an AVL Tree 00:09:00
Module 04: AVL Tree Source Code 00:17:00
Unit 13: Indexed Priority Queue
Module 01: Indexed Priority Queue (Part-1) 00:25:00
Module 02: Indexed Priority Queue Source Code 00:09:00
Unit 14: Sparse Tables
Module 01: Sparse Table 00:26:00
Module 02: Sparse Table Source Code 00:07:00

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