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Master Linear Data Structures

Complete Guide and Hands-on Tutorials on Linear Data Structures

12 hours+ of total content
5.0
2 ratings
51 students enrolled
Course Creator: Piyush Garg

Heads up!

This is an official course from Data Structures And Algorithms Learning Path learning path.

Goals

  • Arrays
  • Dynamic and Static Sized Arrays
  • Linked Lists
  • Circular Linked List
  • Stacks
  • Min Stack
  • Queues
  • Priority Queues
  • Deques
  • Double Ended Queues
  • HashMaps
  • Hash Function and Collision Avoiding Techniques
  • Problem Solving on LeetCode and other platforms
  • Best Practices and Coding Style

Description

This is the second part of the Complete Data Structures and Algorithms Course.

Checkout First Part (Introduction to Data Structures and Algorithms): https://codedamn.com/learn/data-structures-algorithms

Linear data structures are the most basic and fundamental data structures in computer science. They are used to store a sequence of elements, which can be accessed by their index.

The Java programming language provides a number of classes for implementing linear data structures. These classes include: Arrays, ArrayList, LinkedList, Stack and Queues.

In this course, we'll be focusing on linear data structures

Here's what you're going to learn in this course:

  • Arrays
  • Linked Lists
  • Stacks
  • Queues
  • HashMaps

Course Structure

84 lectures 12:54:12 total duration

  Introduction to Linear Data Structures (Watch video)
01:51

Student feedback

5.0
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Reviews

profile pic for Hari Chandana
Jan 19, 2023
good to learn
profile pic for Mohammad Ayaan Siddiqui
Dec 28, 2022
course content is really good and easily understandable .

Your Course Instructor

Course Instructor Image

Piyush Garg

Full-stack Developer

Hi, I am Piyush and I love to explore new technologies and frameworks. I work as a freelancer in various domains such as the Backend engineer, AWS Cloud solution architect, etc. Fun fact about me: I am obsessed with clean codes that follow proper design principles and patterns.

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