CF

Data Structures & Algorithms - JavaScript

6h 44m
English
Paid

Unlock the potential of your learning by mastering Data Structures & Algorithms through JavaScript! This course is designed to help you grasp more material in less time and retain knowledge effectively—the perfect formula for acing technical interviews and landing your dream job. Experience the difference firsthand by watching a few of the course videos. You'll notice the impact immediately! This course is the culmination of over a year's dedication, ensuring that even complete beginners can comprehend all concepts seamlessly on their first attempt.

Enhanced Learning Through Animation

Each line of code is accompanied by an animation that visually demonstrates the impact of the code in the data structure or algorithm. This dynamic approach offers substantial benefits:

  • Improved concept understanding: Visual aids help demystify complex algorithms and structures.
  • Greater retention rates: Learning is more effective when students can see concepts in action.
  • Efficiency in learning: Cover more material in less time with our concise, animated explanations.

About the Author: Udemy

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Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

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#1: Introduction
All Course Lessons (100)
#Lesson TitleDurationAccess
1
Introduction Demo
04:06
2
Code Editor
04:04
3
Big O: Intro
02:58
4
Big O: Worst Case
01:30
5
Big O: O(n)
02:06
6
Big O: Drop Constants
01:39
7
Big O: O(n^2)
03:10
8
Big O: Drop Non-Dominants
01:47
9
Big O: O(1)
01:24
10
Big O: O(log n)
04:26
11
Big O: Different Terms for Input
02:07
12
Big O: Arrays
05:36
13
Big O: Wrap Up
04:31
14
Quiz Intro
01:44
15
Classes
05:53
16
Pointers
04:36
17
Linked List: Intro
01:47
18
LL: Big O
06:13
19
LL: Under the Hood
02:40
20
LL: Constructor
07:13
21
LL: Push
05:43
22
LL: Pop - Intro
06:04
23
LL: Pop - Code
07:54
24
LL: Unshift
03:34
25
LL: Shift
05:19
26
LL: Get
03:47
27
LL: Set
04:42
28
LL: Insert
06:21
29
LL: Remove
04:57
30
LL: Reverse
05:54
31
DLL: Constructor
02:56
32
DLL: Push
03:56
33
DLL: Pop
07:08
34
DLL: Unshift
02:48
35
DLL: Shift
04:01
36
DLL: Get
04:29
37
DLL: Set
03:43
38
DLL: Insert
06:11
39
DLL: Remove
04:51
40
Stack: Intro
05:39
41
Stack: Constructor
03:01
42
Stack: Push
03:53
43
Stack: Pop
03:05
44
Queue: Intro
02:15
45
Queue: Constructor
02:00
46
Queue: Enqueue
03:13
47
Queue: Dequeue
03:25
48
Trees: Intro & Terminology
04:23
49
Binary Search Trees: Example
02:31
50
BST: Big O
06:55
51
BST: Constructor
03:39
52
BST: Insert - Intro
06:05
53
BST: Insert - Code
09:44
54
BST: Contains
08:31
55
Hash Table: Intro
05:22
56
HT: Collisions
02:39
57
HT: Constructor
04:58
58
HT: Set
04:51
59
HT: Get
04:45
60
HT: Keys
03:19
61
HT: Big O
02:06
62
HT: Interview Question
05:30
63
Graph: Intro
04:02
64
Graph: Adjacency Matrix
03:17
65
Graph: Adjacency List
01:18
66
Graph: Big O
06:17
67
Graph: Add Vertex
03:11
68
Graph: Add Edge
03:15
69
Graph: Remove Edge
03:57
70
Graph: Remove Vertex
07:00
71
Recursion: Intro
06:30
72
Call Stack
06:16
73
Factorial
08:39
74
Bubble Sort: Intro
02:25
75
Bubble Sort: Code
02:38
76
Selection Sort: Intro
02:56
77
Selection Sort: Code
04:58
78
Insertion Sort: Intro
01:24
79
Insertion Sort: Code
04:38
80
Insertion Sort: Big O
01:31
81
Merge Sort: Overview
01:45
82
Merge: Intro
01:38
83
Merge: Code
03:27
84
Merge Sort: Intro
01:19
85
Merge Sort: Code
03:40
86
Merge Sort: Big O
02:49
87
Quick Sort: Intro
02:32
88
Pivot: Intro
03:00
89
Pivot: Code
04:19
90
Quick Sort: Code
03:53
91
Quick Sort: Big O
03:36
92
Tree Traversal: Intro
01:56
93
BFS (Breadth First Search): Intro
03:38
94
BFS: Code
05:33
95
DFS (Depth First Search): PreOrder - Intro
01:20
96
DFS: PreOrder - Code
06:31
97
DFS: PostOrder - Intro
02:14
98
DFS: PostOrder - Code
04:54
99
DFS: InOrder - Intro
01:47
100
DFS: InOrder - Code
04:20
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Frequently asked questions

What are the prerequisites for enrolling in this course?
This course is designed for learners at all levels, including complete beginners. There is no specific requirement for prior knowledge in data structures or algorithms. However, a basic understanding of JavaScript syntax and concepts will be beneficial to grasp the course material more effectively.
What kind of projects or exercises will I work on in this course?
The course includes various hands-on exercises that cover fundamental data structures and algorithms. You'll work on implementing and manipulating linked lists, stacks, queues, binary search trees, and hash tables. These exercises are designed to solidify your understanding of both the theoretical and practical aspects of these concepts.
Who is the target audience for this course?
This course is ideal for anyone looking to strengthen their understanding of data structures and algorithms using JavaScript. It is particularly beneficial for those preparing for technical interviews, computer science students, or professionals seeking to enhance their problem-solving skills.
How does this course compare in depth and scope to other algorithm courses?
The course offers a comprehensive introduction to Big O notation, linked lists, stacks, queues, trees, and hash tables. It combines theoretical explanations with practical coding exercises, enhanced by animations for better concept visualization. Unlike some other courses that may focus solely on theory, this course emphasizes the practical implementation of data structures using JavaScript.
What tools or platforms will I use during the course?
Throughout the course, you'll primarily use a code editor to implement the learning exercises. The lessons provide guidance on setting up and using the code editor effectively, ensuring you can follow along with the coding demonstrations and complete the exercises independently.
Are there any topics that are not covered in this course?
While the course provides a solid foundation in basic data structures and algorithms, it does not delve into advanced topics such as graph theory, dynamic programming, or specific algorithmic paradigms beyond those mentioned in the lesson list. These topics might require additional study beyond the scope of this course.
What is the expected time commitment for completing the course?
The course consists of 100 lessons, and the total runtime is not specified in the course details. The time commitment will depend on your pace, but you should expect to dedicate several hours to fully engage with the content, complete the exercises, and review the animations for effective learning.