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Data Structure and algorithm using Python

Every technical interview is structured based on a certain pattern, and if you crack it, you can beat the competitors. Learning python course will introduce you to the shortest paths of searching and sorting algorithms and data structures. You'll go over some of the most common technical interview questions step by step and learn how to respond to them both. To assess your ability, you will complete practice problems and tests. After that, you'll practice mock interviews to obtain detailed feedback on how to improve. Therefore, be ready for whatever the interviewer asks you!

As the Python structures and algorithms course has a simple syntax that resembles English, its high readability factor makes it easy for beginners to join this course. Python dynamic programming language offers the most extensive library collection for development and data science tasks. Enroll in this Programming Data Structures and Algorithms Using Python course and learn in detail about binary search trees, arrays linked lists, binary search trees heaps, etc., to build a strong foundation in coding!

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Course Feature

30 Days of Course Duration
30+ 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 Python candidates
Why should I learn Data Structure and Algorithms with Python?
  • Data structures are the foundations of any programming language upon which a program is built. As compared to other programming languages, Python makes it easier to understand the fundamentals of these data structures.
  • Python's data structures consist of built-in data structures (lists, tuples, dictionaries, and sets) and user-defined data structures (arrays, stack, queues, trees, linked lists, graphs, and hash maps).
  • Algorithms are rules or instructions written in a specific, sequential manner to solve issues and provide the desired outcomes.
  • Important algorithms in Python are tree-traversal (pre-order, in-order, and post-order), searching (linear and binary), and sorting (merge, bubble, insertion, selection, and shell) algorithms.

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

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.
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 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.
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

Kamal
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FAQ’s

What are the prerequisites for taking that course?

Basic knowledge of python 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 are the benefits of enrolling?

Knowing how to code can help you gain an advantage in a wide range of professions. You'll need a great base in core programming ideas whether you want to become an A.I. engineer or a python developer, or perhaps need to use programming to boost your existing work. You must also have basic python knowledge to enrol for this comprehensive online course.

How do you know if this program is appropriate for me?

The Python Data Structures and Algorithms Course is a perfect way to begin if you would like to learn to code but don't have much expertise.

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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 List
  • 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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