Learn Data Structures and Algorithms using c++_1

Learn Data Structures and Algorithms using c++, available at $19.99, has an average rating of 4.5, with 47 lectures, based on 148 reviews, and has 11751 subscribers.

You will learn about Linear and Non-linear Data Structures Non-linear Data Structures like Trees, Binary Search Trees Algorithms like Selection Sort and Insertion Sort with visual description of working of these algorithms Data Structures like Linked lists, stack, Queue, Array, 2D Arrays, BST. Grip over multiple data structures and algorithms. This course is ideal for individuals who are All students who want to learn data structures and algorithms, and make their concepts strong should take this course. or Students who want to learn Algorithms. or Understand data structures in depth. It is particularly useful for All students who want to learn data structures and algorithms, and make their concepts strong should take this course. or Students who want to learn Algorithms. or Understand data structures in depth.

Enroll now: Learn Data Structures and Algorithms using c++

Summary

Title: Learn Data Structures and Algorithms using c++

Price: $19.99

Average Rating: 4.5

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Linear and Non-linear Data Structures

Non-linear Data Structures like Trees, Binary Search Trees

Algorithms like Selection Sort and Insertion Sort with visual description of working of these algorithms

Data Structures like Linked lists, stack, Queue, Array, 2D Arrays, BST.

Grip over multiple data structures and algorithms.

Who Should Attend

All students who want to learn data structures and algorithms, and make their concepts strong should take this course.

Students who want to learn Algorithms.

Understand data structures in depth.

Target Audiences

All students who want to learn data structures and algorithms, and make their concepts strong should take this course.

Students who want to learn Algorithms.

Understand data structures in depth.

This course Data Structures and Algorithms in C++ focus on building concepts of students in this domain.
Data Structures like Trees, Linked list and others are explained in depth so that students have better understanding of these topics and coding lectures are helpful in getting depth understanding.

Coding lectures beside graphical explanation in this course make it easier to understand things in Data structures.

Algorithms are explained and coded so that students learn better.

So this course is for students who want to learn in fun and easy way, and get understanding of things in Data Structures and Algorithms.

Advanced topics like BST in Tree section is elaborated in this course.

Topics like BST and Linked List are in very detail so that you can have good grip over them and they are of core importance.

There are visual animations to help you understand topics better, so beside code visual explanations help a lot.

Topics like BST C++ and Linked List C++ need extra care to understand well, but if learned correctly can help.

Similarly Selection Sort, Insertion Sort using C++ are explained in code and visually.

Taking this course you will be good in a lot of topics in Data structures in C++
Stay Blessed

Course Curriculum

Chapter 1: Linked List and Introduction to Data Structures in C++

Lecture 1: Data Structures introduction

Lecture 2: Linked List Explanation

Lecture 3: Node of a Singly Linked List

Lecture 4: Node

Lecture 5: Making a new Node

Lecture 6: Inserting in Linked List

Lecture 7: Insert Function

Lecture 8: insert values in Linked List

Lecture 9: Traversing a Linked List

Lecture 10: Traversing Linked List Code

Lecture 11: Optimization

Lecture 12: Search in Linked List

Lecture 13: Search

Lecture 14: Delete Node in Linked List

Lecture 15: Delete code

Chapter 2: Stack

Lecture 1: Stack Explanation

Lecture 2: Stack Code

Chapter 3: Queue

Lecture 1: Introduction to Queue

Lecture 2: Making Queue Class

Lecture 3: Enqueue

Lecture 4: Traversing a Queue

Lecture 5: Function to Traverse a Queue

Lecture 6: Dequeue Explanation

Lecture 7: Dequeue

Chapter 4: Introduction to Trees

Lecture 1: Tree

Lecture 2: BST (Binary Search Tree)

Lecture 3: Node of Binary Search Tree

Lecture 4: BST Node

Lecture 5: New Node

Lecture 6: Inserting in BST (Binary Search Tree)

Lecture 7: Insert

Lecture 8: Insert values

Lecture 9: Preorder traversal Explanation

Lecture 10: Preorder traversal

Lecture 11: Inorder traversal Explanation

Lecture 12: Inorder traversal

Lecture 13: Postorder traversal Explanation

Lecture 14: Postorder traversal

Chapter 5: Delete from BST

Lecture 1: Min value node

Lecture 2: Min value Node Code

Lecture 3: Delete from BST

Lecture 4: Delete

Lecture 5: delete Value

Chapter 6: Algorithms

Lecture 1: Selection Sort Explanation

Lecture 2: Selection Sort

Lecture 3: Insertion Sort Explanation

Lecture 4: Insertion Sort

Instructors

Muhammad Hamza AbdulRehman
Developer and mentor.

Rating Distribution

1 stars: 3 votes

2 stars: 6 votes

3 stars: 34 votes

4 stars: 52 votes

5 stars: 53 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!