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Data Structures in JavaScript - Master the Fundamentals

person icon Packt Publishing

4.1

Data Structures in JavaScript - Master the Fundamentals

Understand the complex world of data structures and algorithms with ease by solving interesting problems

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Packt Publishing

category icon Development,Data Structures,Javascript,Programming Languages

Lectures -88

Duration -14 hours

4.1

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Course Description

Data structures allow you to organize code in the most efficient way to help you perform operations effectively. An algorithm is a step-by-step procedure for solving problems, be it solving a computer problem, writing source code, or innovating new programs. With this course, you’ll learn the concepts of data structures and algorithms using JavaScript.

Starting with an introduction to data structures and algorithms, the course takes you through the concept of arrays, where you’ll solve a minesweeper challenge to understand the importance of an array in data structures. Next, you’ll become familiar with lists and discover how Big O helps in describing the complexity of an algorithm. As you advance, you’ll gain insights into stacks, queues, recursion, and trees by solving challenges such as condense, Josephus, palindrome, and Morse code. Toward the end, you’ll get an overview of hash maps and graphs.

By the end of this course, you’ll have developed a solid understanding of data structures and algorithms essential for building reliable software.

Goals

What will you learn in this course:

  • Distinguish between arrays and lists
  • Implement list push, grow, remove, and insert
  • Understand the Big O time-space asymptotic analysis
  • Find out when to use stacks and trees
  • Discover the applications of trees in data structure and algorithm
  • Handle collisions with hash maps
Data Structures in JavaScript - Master the Fundamentals

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
1 Lectures
  • play icon Course Outline 01:07 01:07
Arrays
14 Lectures
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Lists
9 Lectures
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The Big O Time Space Asymptomatic Analysis
6 Lectures
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Linked Lists
10 Lectures
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Stacks
11 Lectures
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Queues
7 Lectures
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Recursion
6 Lectures
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Trees
17 Lectures
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Hash maps
4 Lectures
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Graphs
3 Lectures
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Instructor Details

Packt Publishing

Packt Publishing

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