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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
nit 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

Data Structures : Easy to Advanced

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295 STUDENTS
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Data Structures : Easy to Advanced
  • Course Highlights

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Data Structures : Easy to Advanced 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 become a qualified professional.

Through this Data Structures : Easy to Advanced, you will gain both practical and theoretical understanding of Data Structures : Easy to Advanced 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 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 qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals. 

  • Learning outcome
  • Get a deep understanding of the Data Structures : Easy to Advanced just in hours not years
  • Familiar yourself with the recent development and updates of the relevant industry
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  • Access to course contents that are designed and prepared by industry professionals
  • Study at your convenient time and from wherever you want
  • Requirements
  • No formal qualifications required, anyone from any academic background can take this course.
  • Access to any internet-enabled smart device.
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  • 8+ hours of on-demand video lectures and downloadable resources.
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