Data Structure

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Data Structure

Level: Intermediate
Modules: 56 Modules
Duration: 9 hours, 1 minute
Students: 354

Delve into the intricate world of “Data Structure” with our comprehensive course, meticulously crafted for those who have a penchant for understanding the skeleton of software engineering. Data structures form the backbone of algorithmic efficiency, and mastering them is akin to holding the master key to software optimisation. Our course is a confluence of foundational knowledge and complex data structuring, ensuring that you emerge not only informed but also invigorated, ready to tackle any computational challenge thrown your way.

Learning Outcomes

Gain foundational understanding of different data structures and their implementations.
Discover the intricate details of arrays, linked lists, stacks, and queues.
Develop the ability to effectively utilise advanced structures like AVL trees and Fenwick trees.
Master techniques for optimising algorithmic efficiency using suitable data structures.
Enhance problem-solving skills related to data storage and retrieval.

Why choose this Data Structure course?

Unlimited access to the course for a lifetime.
Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course.
Structured lesson planning in line with industry standards.
Immerse yourself in innovative and captivating course materials and activities.
Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.
Flexibility to complete the Data Structure Course at your own pace, on your own schedule.
Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.

Who is this Data Structure course for?

Individuals keen on deepening their computer science foundations.
Software developers aiming to optimise their code.
Students pursuing computer science and related disciplines.
Competitive coders desiring an edge in algorithm competitions.
Tech enthusiasts eager to understand the underpinnings of efficient programming.

Career path

Software Developer: £25,000 – £45,000
Algorithm Engineer: £40,000 – £60,000
Data Scientist: £35,000 – £55,000
Backend Developer: £28,000 – £50,000
Systems Architect: £45,000 – £70,000
Data Engineer: £30,000 – £55,000

Prerequisites

This Data Structure does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Structure was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Certification

After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.

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	00:05:00
	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
Assignment
	Assignment – Data Structure	00:00:00