Data Structures From Scratch

Data Structures From Scratch, available at $19.99, has an average rating of 4.2, with 53 lectures, based on 30 reviews, and has 523 subscribers.

You will learn about apply data structure concepts in different applications of computer science compare and contrast different data structure based on application write their own algorithms and can analyse between different algorithm implement various algorithms in programming language develop planning skills required for datastructure This course is ideal for individuals who are This data structure course is meant for those who are familiar with basic understanding of programming. It is particularly useful for This data structure course is meant for those who are familiar with basic understanding of programming.

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Summary

Title: Data Structures From Scratch

Price: $19.99

Average Rating: 4.2

Number of Lectures: 53

Number of Published Lectures: 53

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 53

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

apply data structure concepts in different applications of computer science
compare and contrast different data structure based on application
write their own algorithms and can analyse between different algorithm
implement various algorithms in programming language
develop planning skills required for datastructure

Who Should Attend

This data structure course is meant for those who are familiar with basic understanding of programming.

Target Audiences

This data structure course is meant for those who are familiar with basic understanding of programming.

Data structure is an efficient way of organizing data and keeping the mess out of your system. This course teaches further about these data structures. The most popular data structures in store data category include binary search trees, hash tables, heaps, and graphs. After learning the codes, you will be able to develop your knowledge side by side with your teacher. There are lot of other courses on data structures so why take this course?? (1. Teaching Style + Side by Side Coding with Theory 2. No use of traditional powerpoint slides)

This course was primarily made for those with basic knowledge of C++ that want to improve in computer science.

What is the working system of this course?

Providing the illustration and examples for better understanding
Easy lectures for beginners�
Complete detailed explanation of data structures�
Code in C++�

What does this course cover?

Arrays
Stacks
Abstract data type
Queues
LinkedList
Recursion
Trees and other algorithms
Hash Tables and Graphs (To be covered soon)

After completing the course, you will have enough knowledge to code these data structures on your own and be confident enough to perform your own data structural operations. Its purpose is to facilitate the introduction to programming and exercise the strategies. When designing or using a library, two things are fundamental: time efficiency operations with objects of classes and memory management. The C ++ is a language that tends to be very effective in these areas. This course is crucial in all these categories and will help you learn in the easiest possible way.

Knowing the basic techniques used during intermediate generation, optimization and code generation expanding programming techniques is the plot of computer science that you will always come back to.

Course Curriculum

Lecture 1: Introduction To Data Structures

Lecture 2: Abstract Data Type

Lecture 3: Basics of Array

Lecture 4: Concept of Addresses in One Dimensional Array

Lecture 5: One Dimensional Array in C++

Lecture 6: Basics of Two Dimensional Array

Lecture 7: Memory Representation of Two Dimensional Array

Lecture 8: Two Dimensional Array in C++

Lecture 9: List as an Abstract Data Type

Chapter 1: List And Arrays

Lecture 1: Array List in C++

Chapter 2: Linked List and Analyses

Lecture 1: Array based Linked List and intuition

Lecture 2: Dynamic Linked List

Lecture 3: Linked List traversal

Lecture 4: Linked List insert at last

Lecture 5: Linked List Insertion at Middle

Lecture 6: Delete Node from Linked List

Lecture 7: Analyses of Linked List

Lecture 8: Recursion

Chapter 3: Stacks

Lecture 1: Basics of Stack

Lecture 2: Stack Operation

Lecture 3: Stacks using Linked List

Lecture 4: Application of Stacks : Factorial

Lecture 5: Application of Stacks: Arithmetic

Lecture 6: a. Infix to Postfix

Lecture 7: b. Infix to Postfix

Lecture 8: c. Infix to Postfix

Lecture 9: Algorithim to convert Infix to Postfix

Lecture 10: Evaluation of Postfix

Chapter 4: Queues

Lecture 1: Introduction to Queue

Lecture 2: Queue Illustration

Lecture 3: Array Based Implementation of Queue

Lecture 4: C++ Tutorial on Queue

Chapter 5: Trees

Lecture 1: Introduction To Trees

Lecture 2: Classification of Trees and Introduction to Binary Trees

Lecture 3: Representation of Binary Trees : Array Based Approach

Lecture 4: Linked/Dynamic Representation of Binary Trees

Lecture 5: Tree Traversal : Inorder

Lecture 6: Tree Traversal : Preorder

Lecture 7: Tree Traversal: Post Order

Lecture 8: Expression Trees

Lecture 9: Algorithm To Build Expression Tree

Lecture 10: Implementing Binary Trees

Lecture 11: C++ Implementation of Binary Trees

Chapter 6: Binary Search Trees

Lecture 1: Introduction to Binary Search Tree

Lecture 2: BST: Search Item

Lecture 3: BST: Insertion

Chapter 7: AVL Trees

Lecture 1: Introduction To AVL Trees

Lecture 2: Why AVL Trees?

Lecture 3: AVL Trees Rule

Lecture 4: a. Insertion into AVL Trees

Lecture 5: b. Insertion into AVL Trees

Lecture 6: AVL Trees Algorithm

Lecture 7: C++ Implementation of AVL Trees

Instructors

SaifAli Kheraj
Instructor

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 9 votes
5 stars: 16 votes

Frequently Asked Questions

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