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Data Structure and algorithm using C++

C++ is a low-level programming language designed to work with computer science. It gives you a far better understanding of all the components that make up programming (which is very advantageous when you are just beginning). C++ is the basis for the syntax of the majority of other notable competitive programming languages. Thus, if you take a Data Structures C++ Course, you will easily learn another complex programming language.

This self-paced online course will teach you about the properties of popular data structures and algorithms, as well as how to apply them so that you can undertake efficient assessments in C++ from the ground up enhancing your problem solving skills. You'll learn how to use a range of algorithms, including binary search trees, searching, sorting, dynamic programming, greedy, divide, and so on to create efficient applications. You'll also begin to analyze the effectiveness of the programme you created as software engineering. You will be prepared to address coding difficulties in a methodical, step by step manner after completion of training.

Addressing problems that require various data structures will train you how to recognise the strong and weak points of popular data structures and how to select the best data structures and algorithms for resolving issues quickly. Enrol in this Data Structure with C++ course today to start developing a solid coding foundation in software development.

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Course Feature

60 Days of Course Duration
56+ hours of live lectures
100 % Live Program
Basic to Advanced Topics
4 + Projects
5 + Coding Quizzes
100 + Coding questions
24 * 7 Support
Expert Instructors
Affordable fees
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Companies highly recruiting Data Structure and algorithm using C++ candidates
Why should I learn Data Structure and Algorithms with C++?
  • A data structure is a method of storing and organizing data – logical or mathematical – in a computer's memory to be utilized effectively afterwards. A thorough understanding of Data Structures in C++ is required to enter IT behemoths.
  • The data structure in C++ comprises an array, linked list, stack, queue, trees (binary and binary search), heap, hashing, and graph.
  • An algorithm is a set of instructions performed chronologically to produce the expected outcome.
  • Algorithms in C++ language consist of searching (linear and binary) and sorting (bubble, heap, merge, quick, and Radix) algorithms.

How do you choose between Data Structure and algorithm using C++ /Data Structure and algorithm using Java /Data Structure and algorithm using Python ?

Data Structure and algorithm using C++
If you are working with a domain model which is complex and needs object-oriented programming, then you need to know C++. Other than this, if you are involved in video gaming, graphics and computer vision, and web browsers (Chrome, Firefox, Safari), C++ is the programming language that you need.
Data Structure and algorithm using Java
Java is a must-know programming language if you want to develop Android mobile, desktop applications, or server backends. Also, use Java if you need to write large amounts of code as Java is comprehensive, understandable, and well-structured
Data Structure and algorithm using Python
If you are venturing into the field of machine learning, deep learning, and artificial intelligence, Python is your go-to programming language. It is helpful in visualization and data analysis. Python is also useful for web development with frameworks like Django. In comparison to many other languages, Python has a very simple syntax
Testimonials

My experience with Dhruvon was remarkable, everything I learnt was easy to comprehend and it was explained in a very elaborate but brief manner, it was a very easy method to understand such a hard course as it would have taken me months to understand it from someone else. Wherever I had a doubt it was cleared in only a few minutes with proper feedback too.

Gaurav Punjabi

I would highly recommend this course to anyone who is looking to gain some knowledge with Python. Dhruv Sharma (course instructor) is the man! He explains things really well and shows great examples throughout his explanation. Again I highly recommend it.

Akshat Kaushik

My Son surprised me with his coding skills & the credit goes to Dhruvon for making his learning so simple yet informative. Dhruvon teaches in Hindi. I believe that's their USP

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FAQ’s

What are the prerequisites for taking that course?

Basic knowledge of C++ is mandatory for enrolling in this course

What is the average length of a lecture?

A two-hour lecture is the average length of a class.

What if I'm unable to attend a class?

Don't be concerned! You will receive a recording of each lecture that you can refer to if you happen to miss it.

Will I be able to obtain the certificate?

Yes, after the course is completed. Dhruvon will offer you a certificate based on your success on many metrics such as attendance in sessions, assessment scores, and so on

What is the required internet speed to participate in the session?

A minimum download speed of 4 megabits per second is suggested.

What will you study in this course?

The advantages and disadvantages of several data structures, so you can pick the optimal one for your data and applications. Many of the main data sorting algorithms ensure that your applications sort massive datasets quickly. Institute each data structure in code so you can see how it works. Improve your data structure analytic skills and put them to good use. Become a better developer by improving your problem-solving capabilities. Get all of the information you'll need to pass tough coding interviews.

What is the target audience for this course?

Undergraduates who want to master data structures. Developers who want to learn data structures in a magnified way. Anyone who wants to improve their problem-solving abilities. Anyone who is getting ready for a programming interview.

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How to earn the Certificate ?

Upon successful completion of the course you will earn a certificate. Dhruvon will offer you a certificate based on your success on many metrics such as attendance in sessions, assessment scores, and so on.

Curriculum

DAY 1
INTRODUCTION
  • Data Structure & Algorithm
  • What is Time Complexity
  • Introduction to Asymptotic Notations [ Big O ,Big Omega , Big Theta ]
DAY 2
  • Remaining part of Asymphotic Notations
  • Bet,Worst and Avg case Analysis of an Algorithm
  • Calculate time complexity of Algorithm
  • QUIZ-1
DAY 3
  • What is Array
  • Abstract Data Type in Data Structure
  • Array as an Abstract Data type in Data Structure
  • Implementation of Array as an Abstract Data Type
DAY 4
  • Array Operations
  • Insertion Operation in Array
  • Deletion in Array
  • Linear & Binary Search
  • QUIZ-2
DAY 5
LINKED LIST
  • Concept
  • Creation & traversal
  • Insertion of Node
  • Insertion in a linked list
DAY 6
  • Deletion in Linked List
  • Deletion of Node from a Linked List
  • Intro to Circular Linked List
  • Operations in Circular Linked Lis
  • QUIZ-3
DAY 7
  • Intro to Doubly Linked List
  • Intro to Stack in Data Structure
  • Stack Implementation
  • Operations of Stack [Push,Pop,isEmpty,isFull]
DAY 8
  • Peek Operations in Stack using Array
  • Other Stack Operations [stackTop,stackBottom]
  • Stack using Linked List
  • Quiz-4
DAY 9
  • Implementation of Stack Operations using Linked List
Queue
  • Implementation
  • Implementation using Array
DAY 10
Operations of Queue
Circular Queue Introduction
DAY 11
Other Queue Operations [enqueue,dequeue]
  • Quiz-5
Queue using Linked List and Implementation
DAY 12
  • Double Ended Queue
  • Intro to Sorting Algorithm
  • Criteria for analysis of sorting algorithm
DAY 13
Bubble Sort
  • Intro to Bubble sort
  • Implementaion
Insertion Sort
  • Intro
  • Implementation
DAY 14
Selection Sort
  • Intro
  • Implementation
Merge Sort
  • Intro
  • Implementation
DAY 15
Count Sort
  • Intro
  • Implementation
Trees
  • Intro
  • Types of Tree
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