70+ JavaScript Challenges: Data Structures & Algorithms

12h 29m 29s
English
Paid

Course description

I am known for my practical project-based courses. I created this course because, in addition to those practical skills, I want to give you more foundational problem solving skills and dive into algorithms by solving challenges and learn about and implement data structures like stacks, queues, trees and hash maps. We also learn about other computer science fundamentals like recursion and complexity. Pass those pesky interviews by taking this course.

Read more about the course

What you'll learn

  • Take on challenges or follow along and learn by example
  • Solve problems using iteration, recursion, high order array methods and more
  • Learn about time & space complexity for more efficient code
  • Learn about and implement data structures like stacks, queues, linked lists, trees and graphs
  • Depth-first and breadth-first traversal of binary trees and graphs
  • Sorting algorithms like bubble sort and merge sort
  • Full sandbox environment with Jest testing

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0:00
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#1: Welcome To The Course

All Course Lessons (114)

#Lesson TitleDurationAccess
1
Welcome To The Course Demo
03:24
2
Course Structure
04:19
3
DSA - What & Why
06:56
4
Tools & Basic Setup
05:36
5
Sandbox Files Setup & Explanation
06:28
6
Hello World (Starter Challenge)
01:58
7
Get Sum (Starter Challenge)
02:03
8
Calculator
05:45
9
Count Occurences
07:44
10
Find Max Number
03:44
11
Title Case
05:25
12
Reverse String
07:20
13
Palindrome
14:27
14
Count Vowels
03:08
15
Remove Duplicates
05:31
16
FizzBuzz Array
05:42
17
Array Intersection
05:56
18
Display Likes
04:57
19
Find Missing Number
06:18
20
Find Missing Letter
07:43
21
Are All Characters Unique
07:14
22
First Non-Repeating Character
07:52
23
Dice Game Simulation
06:33
24
Format Phone Number
09:20
25
Validate Email
09:16
26
Simple Examples
13:32
27
Sum Of Even Squares
04:54
28
Calculate Total Sales
06:05
29
Highest Scoring Word
10:38
30
Valid Anagrams
07:12
31
Hashtag Generator
10:32
32
Valid IPv4
04:28
33
Analyze Car Milage
07:46
34
Password Validator
06:19
35
Find Missing Letter Refactor
10:36
36
Recursion Intro (Countdown)
06:56
37
Recursive Unwinding (Sum Up To)
05:50
38
Reverse String Using Recursion
07:35
39
Fibonacci Sequence
10:41
40
Factorial
06:38
41
Power
05:49
42
Array Sum
05:54
43
Number Range
04:44
44
Flatten Array
04:01
45
Permutations
07:29
46
What Is Time Complexity?
05:31
47
Big O Notation
05:42
48
Constant Time Complexity
05:20
49
Linear Time Complexity
05:25
50
Quadratic Time Complexity
04:27
51
Logarithmic Time Complexity
04:57
52
Space Complexity
06:25
53
Max Subarray - Quadratic
08:21
54
Sliding Window Technique
04:10
55
Max Subarray - Linear
06:50
56
Hash Table Intro
03:54
57
Maps
09:52
58
Word Frequency Counter
05:36
59
Phone Number Directory
02:42
60
Anagram Grouping
05:39
61
Sets
05:29
62
Symmetric Difference
04:47
63
Two Sum
05:36
64
Longest Consecutive
06:27
65
Custom Hash Table - Init, Set & Print
18:44
66
Custom Hash Table - Get, Remove & Has
11:24
67
Word Instance Counter With Custom Hash Table
05:54
68
Add getValues Method
03:28
69
Anagram Grouping With Custom Hash Table
05:50
70
What Is A Stack?
02:25
71
Stack Implementation
10:32
72
Reverse String Using A Stack
04:05
73
Balanced Parenthesis
04:29
74
What Is A Queue?
02:20
75
Queue Implementation
07:24
76
Reverse String Using A Queue
03:40
77
Palindrome Using A Queue & Stack
07:49
78
What Is A Linked List?
04:09
79
Linked List Implementation
14:18
80
Reverse String Using A Linked List
03:55
81
Fast & Slow Pointers
05:52
82
Find Middle
07:13
83
What Is A Doubly Linked List?
02:48
84
Doubly Linked List Implementation - Part 1
14:28
85
Doubly Linked List implementation - Part 2
10:18
86
Find Pair Sum
04:11
87
What Is A Tree / Binary Tree?
06:28
88
Tree Node Class
05:00
89
Depth-First Traversal
13:04
90
Depth-First Traversal With Recursion
04:18
91
Breadth-First Traversal
08:56
92
Maximum Depth
06:53
93
What Is A Binary Search Tree?
08:27
94
Binary Search Tree Implementation - Part 1
10:51
95
Binary Search Tree Implementation - Part 2
14:24
96
Validate BST
11:23
97
What Is A Graph?
03:42
98
Adjacency Matrix & Adjacency List
04:30
99
Graph Implementation
11:24
100
Graph Traversal Visualization
05:52
101
Graph Depth-First Traversal
09:56
102
Graph Breadth-First Traversal
06:17
103
What Are Sorting Algorithms?
02:48
104
Bubble Sort Algorithm
02:47
105
Bubble Sort Implementation
08:01
106
Insertion Sort Algorithm
02:44
107
Insertion Sort Implementation
06:25
108
Selection Sort Algorithm
03:29
109
Selection Sort Implementation
06:44
110
Merge Sort Algorithm
02:00
111
Merge Sort Implementation
08:27
112
Quick Sort Algorithm
02:51
113
Quick Sort Implmentation
05:27
114
Wrap Up
01:37

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