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.
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
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
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 : Liked 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
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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