Easy to Advanced Data Structures

Easy to Advanced Data Structures

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    Overview

    Data structures are essential for creating efficient algorithms and are an integral part of software design. In this Easy to Advanced Data Structures course, you will learn how to create and design data structures step-by-step. It covers an in-depth overview of the different algorithms associated with data structures, explaining how they are represented visually.

    The course is designed in such a way that complete beginners can understand, with every data structure accompanied by a working source code. It also includes practical coding exercises and algorithmic programming techniques to provide you with real-world working knowledge of data structures that will drive your career forward.

    This qualification is ideal for anyone pursuing a career in data science or software engineering. Get certified online with new skills and learn up-to-date techniques from the experts!

    Why People Love and Enrol the Easy to Advanced Data Structures Course from One Education

    • Eligibility for an IAO & CPD-accredited certificate on successful completion of Introduction to Data Analytics with Tableau Course
    • Learning materials of our Introduction to Data Analytics with Tableau course contains engaging voiceover and visual elements for your comfort
    • Freedom to study at your own pace
    • 24/7 access to the Introduction to Data Analytics with Tableau course materials for 12 months
    • Full Tutor support on weekdays (Monday – Friday)

    Course Design

    The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

    You are taught through a combination of

    • Video lessons
    • Online study materials

    Will I receive a certificate of completion?

    Upon successful completion, you will qualify for the UK and internationally-recognized professional qualification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hard Copy Certificate for £15.

    Why study this course

    Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge.

    The Easy to Advanced Data Structures is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.

    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 00:00:00
    Module 03: Union and Find Operations 00:11:00
    Module 04: Path Compression Union Find 00:07:00
    Module 05: Union Find Source Code 00:00:00
    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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