70+ JavaScript Challenges: Data Structures & Algorithms

12h 29m 29s
English
Paid
June 5, 2024

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.

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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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# Title Duration
1 Welcome To The Course 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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