Data Structures for Application Development

Programs work on data. But data must be expressed and organized within computers before being processed by programs. This organization and expression of data for programs’ use is the subject of data structure and representation. Simply put, a data structure tries to store and organize data in a computer in such a way that the data can be used efficiently. This course describes various data structures, their representation, and how they can be used for solving real-world problems.

What is the objective of this course?
The course covers the Datastructure including types, applications, Arrays, linked lists, Stacks, Queue, Heap, Hash, Trees etc

What Will You Learn?

  • Learn the various types of data structures
  • Understand the linked lists and their types
  • Learn use of stacks, queues and heaps and process to build a heap
  • Know how priority queues can be implemented using heaps
  • Learn the use of hash tables and trees
  • Understand how traversing can be performed in binary trees
  • Learn the features of a red-black tree and trie tree
  • Understand the Data Structures and their applications
  • Understand kinds of data structures

  • Data Types
  • Data Structures
  • Applications of Data Structures
  • Types of Data Structures
  • Linear Data Structures
  • Non-linear Data Structures
  • Static Data Structures
  • Dynamic Data Structures
  • Static Arrays Vs. Dynamic Arrays
  • Basic Operations on Data Structures
  • Linked Lists
  • Singly Linked List
  • Case Study: Dynamic Memory Management in C
  • Doubly Linked List
  • Circular Linked List
  • Pros and Cons of Linked Lists
  • Arrays Vs. Linked Lists
  • Stacks
  • Case Study: Using Stacks in Virtual Machines
  • Case Study: Stack Frames for Function Calls
  • Queue
  • Case Study: Message Queues
  • Priority Queues
  • Task Schedulers
  • Case Study: TODO List With Priorities
  • Trees
  • Case Study: Expression Trees
  • Exercise: Creating an Expression Tree
  • Traversing the Expression Tree
  • Binary Search Trees
  • Red-Black Trees
  • Trie
  • Exercise: Spell Check Using Trie Tree
  • Radix Tree

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E-Learning access: Three months from the time you enter a valid token number on the platform or until you complete the course session, whichever comes later. The entire program (e-Learning course, Labs (if applicable), end-of-course assessment, and exam) must be completed within 6 months of purchase.

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It is mandatory to complete the program 100% to get the certificate. (Not applicable for IEEE CertifAIEd, AI Ethics for System Design, and Responsible Procurement of AI.

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