Data Structure with C++ : Zero to Hero

 

Data Structure with C++ : Zero to Hero

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Data Structure with C++ : Zero to Hero Learn about Pointers , Arrays, Linked Lists, Stacks and Queues, Graph, Binary Trees, Heap & Priority Queue, Sorting etc.
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What you'll learn

• Apply features of c++ such as pointers, references, arrays, classes, templates, function overloading, virtual functions, exception handling etc. in building robust data structures
• Understand the nuances of object oriented programming, e.g. abstraction, encapsulation, polymorphism, inheritance etc.
• Conceptualize the idea of basic data structures, viz. linked lists, stacks, queues, graphs, binary trees, heaps, binary search trees, AVL trees, red black trees etc.
• Implement the basic as well as your own (more complex) data structures in c++
• Recognize various techniques of sorting a collection and develop them in c++
• Search for something in a collection
• Solve problems related to data structures using the tools and techniques of c++
• Pointers and References: Understanding the Core
• Pointers and References: passing agrument by value, pointer & reference
• Pointers and References: const pointer, const reference, cons function
• Arrays: Understanding the Core of Array and Why it is Important
• Arrays: Row Major and Column Major Representation of Array
• Linked Lists : Understanding the concepts of Linked list and Why we use linked list
• Linked Lists : How to Insert Element in a Linked List
• Linked Lists : How to Delete Element in a Linked List
• Linked Lists : How to Reversed a Linked List
• Linked Lists : Understanding Doubly Linked Lists with Live Coding
• Linked Lists : Understanding Circularly Linked Lists with Live Coding
• Linked Lists : Application of Linked Lists
• Stacks and Queues : Understanding Why and How we use Stacks and Queue
• Stacks : Implementation of Stack using Array
• Stacks : Implementation of Stack using Linked List
• Stacks : infix to postfix
• Stacks : postfix evaluation
• Queues : Queue using array
• Queues : Queue using linked list
• Graph: Why and How we use use Graph
• Graph : Adjacency Matrix and Adjacency List representations
• Graph : Reading a graph from a file
• Graph : Breadth First Search (BFS)
• Graph : Depth First Search (DFS)
• Binary Trees: Why, How and Where we use Binary Trees
• Binary Trees: Binary Tree Traversal
• Binary Trees: Implementation of Binary Tree
• Binary Trees: Binary Search Tree
• Binary Trees: Implementation of Binary Search Tree
• Binary Trees: Understanding Red Black Tree
• Binary Trees: Insertion in a Red Black Tree
• Binary Trees: Deletion from a Red Black Tree
• Understanding Heap
• Implementation of Heap Sort
• Understanding Priority Queue & Implementation
• Sorting : Selection Sort
• Sorting : Insertion Sort
• Sorting : Bubble Sort
• Sorting : Quick Sort
• Sorting : Merge Sort
• Sorting : Radix Sort
• Searching : Linear Search
• Searching : Binary Search
• Searching : Interpolation Search
• Hashing

Requirements

• Basic Understanding of C++ is a Good to Have
• Basic School Level Math will be helpful

Description

Data Structure is one of the Cores of the Software Industry. That makes the difference between an Ordinary software Engineer and a Pro Software engineer. But According to a survey, 90% of Software engineers don't have a clear understanding of Data Structure and algorithm.

that's why we created this Data Structure with C++: Zero to Hero Course.

Here we not only teach you about the Data Structure but we also teach you How to Think properly!

that is really important!