JavaScript Algorithms and Data Structures Masterclass - HowToFree

Embark on a transformative educational journey with our comprehensive “JavaScript Algorithms and Data Structures Masterclass” – a free video course meticulously designed to empower learners with 30+ hours of in-depth content. Dive into the heart of JavaScript as you master the art of algorithms and data structures, essential pillars for any aspiring developer.

In this immersive masterclass, you’ll not only acquire a profound understanding of JavaScript but also gain mastery over the strategic implementation of algorithms and data structures. Each module is crafted to provide a balance between theoretical concepts and real-world applications, ensuring that you not only comprehend the principles but can apply them effectively in your coding endeavors.

Discover a wide range of subjects, from basic algorithms to sophisticated data structures, under the direction of our knowledgeable educators as you go through real-world examples and activities. This course aims to provide you the problem-solving abilities and sophisticated code necessary to succeed in real-world programming contexts, not just syntactic knowledge.

This masterclass is designed to meet your needs, regardless of whether you’re new to programming or looking to advance your skills. Additionally, self-paced learning allows you to absorb the material at your own rate, strengthening your comprehension as you go.

What You Will Learn:

Acquire the skills to excel in challenging coding interviews.
Proficiently master over a dozen popular algorithms, including 6 sorting algorithms.
Implement more than 10 data structures from the ground up.
Enhance your problem-solving abilities and evolve into a more robust developer.

Course Content of JavaScript Algorithms and Data Structures

1. Introduction of JavaScript Algorithms and Data Structures

Curriculum Walkthrough
Join The Community!
What Order Should You Watch In?
How I’m Running My Code

2. Big O Notation

Intro to Bigo
Timing Our Code
Counting Operations
Visualizing Time Complexities
Official Intro to Big O
Simplifying Big O Expressions
Big O Time Complexity Quiz
Big O Time Complexity Quiz 2
Space Complexity
Big O Space Complexity Quiz
Logs and Section Recap

3. Analyzing Performance of Arrays and Objects

PREREQUISITES
Section Introduction
The BIG O of Objects
Object Operations Quiz
When are Arrays Slow?
Big O of Array Methods
Array Operations Ouiz

4. Problem Solving Approach

PREREQUISITES
Introduction to Problem Solving
Step 1: Understand The Problem
Step 2: Concrete Examples
Step 3: Break It Down
Step 4: Solve Or Simplify
Step 5: Look Back and Refactor
Recap and Interview Strategies

5. Problem Solving Patterns

PREREQUISITES JavaScript Algorithms and Data Structures
Intro to Problem Solving Patterns
Frequency Counter Pattern
Frequency Counter: Anagram Challenge
Frequency Counter – validAnagram
Anagram Challenge Solution
Multiple Pointers Pattern
Multiple Pointers: Count Unique Values Challenge
Multiple Pointers – countlJniqueValues
Count Unique Values Solution
Sliding Window Pattern
Divide And Conquer Pattern

6. 100% OPTIONAL Challenges

IMPORTANT NOTE JavaScript Algorithms and Data Structures !
Frequency Counter – sameFrequency
Frequency Counter / Multiple Pointers – areThereDuplicates
SOLUTIONS PART 1
Multiple Pointers – averagePair
Multiple Pointers – isSubsequence
SOLUTIONS PART 2
Sliding Window – maxSubarraySum
Sliding Window – minSubArrayLen
Sliding Window – findLongestSubstring
SOLUTIONS PART 3

7. Recursion

PREREQUISITES
ragon
Why Use Recursion?
The Call Stack
Our First Recursive Function
Recursion Quiz
Our Second Recursive Function
Writing Factorial Iteratively
Writing Factorial Recursively
Common Recursion Pitfalls
Helper Method Recursion
Pure Recursion

8. Bonus CHALLENGING Recursion Problems

NOTE ON THIS SECTION
isPalindrome
someRecursive
flatten JavaScript Algorithms and Data Structures
SOLUTIONS PART 1
capitalizeFirst
nestedEvenSum
capitalizeWords
stringifyNumbers
collectStrings
SOLUTIONS PART 2

9. Searching Algorithms

PREREQUISITES JavaScript Algorithms and Data Structures
Intro to Searching
Intro to Linear Search
Linear Search Exercise
Linear Search Solution
Linear Search BIG O
Intro to Binary Search
Binary Search PseudoCode
Binary Search Exercise
Binary Search Solution
Binary Search BIG O
Naive String Search
Naive String Search Implementation

10. Bubble Sort JavaScript Algorithms and Data Structures

PREREQUISITES
Introduction to Sorting Agorithms
Built-ln JavaScript Sorting
Bubble Sort: Overview
Bubble Sort: Implementation
Bubble Sort: Optimization
Bubble Sort: BIG O Complexity

11. Selection Sort JavaScript Algorithms and Data Structures

PREREQUISITES
Selection Sort: Introduction
Selection Sort: Implementation
Selection Sort: Big O Complexity

12. Insertion Sort

PREREQUISITES
Insertion Sort: Introduction
Insertion Sort: Implementation
Insertion Sort: BIG O Complexity

13. Comparing Bubble, Selection, and Insertion Sort

Comparing Bubble, Selection, and Insertion Sort

14. Merge Sort

PREREQUISITES
Intro to the “Crazier” Sorts
Merge Sort: Introduction
Merging Arrays Intro
Merging Arrays: Implementation
Writing Merge Sort Part 1
Writing Merge Soft Part 2
Merge Sort BIG O Complexity

15. Quick Sort

PREREQUISITES
Introduction to Quick Sort
Pivot Helper Introduction
Pivot Helper Implementation
Quick Sort Implementation
Quick Sort Call Stack Walkthrough
Quick Sort Big O Complexity

16. Radix Sort

PREREQUISITES
Radix Sort: Introduction
Radix Sort: Helper Methods
Radix Soft: Pseudocode
Radix Sort: Implementation
Radix Sort: BIG O Complexity

17. Data Structures Introduction

Which Data Structure Is The Best?
ES2015 Class Syntax Overview
Data Structures: The Class Keyword
Data Structures: Adding Instance Methods
Data Structures: Adding Class Methods

18. Singly Linked Lists

PREREQUISITES
Intro to Singly Linked Lists
Starter Code and Push Intro
Singly Linked List: Push Solution
Singly Linked List: Pop Intro
Singly Linked List: Pop Solution
Singly Linked List: Shift Intro
Singly Linked List: Shift Solution
Singly Linked List: Unshift Intro
Singly Linked List: Unshift Solution
Singly Linked List: Get Intro
Singly Linked List: Get Solution
Singly Linked List: Set Intro
Singly Linked List: Set Solution
Singly Linked List: Insert Intro
Singly Linked List: Insert Solution
Singly Linked List: Remove Intro
Singly Linked List: Remove Solution
Singly Linked List: Reverse Intro
Singly Linked List: Reverse Solution
Singly Linked List: BIG O Complexity

19. Doubly Linked Lists

PREREQUISITES
Doubly Linked Lists Introduction
Setting Up Our Node Class
push
Push Solution
pop
Pop Solution
Shift
Shift Solution
Unshift
Unshift Solution
Get
Get Solution
Set
Set Solution
Insert
Insert Solution
Remove
Remove Solution
Comparing Singly and Doubly Linked Lists
DLL push – Exercise
DLL unshift – Exercise
DLL shift – Exercise
DLL set – Exercise
DLL- remove Exercise
DLL pop – Exercise
DLL get – Exercise
Doubly Linked Lists insert / remove – Exercise
DLL reverse – Exercise

20. Stacks + Queues

PREREQUISITES
Intro to Stacks
Creating a Stack with an Array
Writing Our Own Stack From Scratch
BIG O of Stacks
Intro to Queues
Creating Queues IJsing Arrays
Writing Our Own Queue From Scratch
BIG O of Queues

21. Binary Search Trees

PREREQUISITES
Introduction to Trees
Uses For Trees
Intro to Binary Trees
POP QUIZ!
Searching A Binary Search Tree
Our Tree Classes
BST: Insert
BST: Insert Solution
BST: Find
BST: Find Solution
Big O of Binary Search Trees

22. Tree Traversal

PREREQUISITES
Intro To Tree Traversal
Breadth First Search Intro
Breadth First Search Solution
Depth First PreOrder Intro
Depth First PreOrder Solution
Depth First PostOrder Intro
Depth First PostOrder Solution
Depth First lnOrder Intro
Depth First lnOrder Solution
When to Use BFS and DFS

23. Binary Heaps

PREREQUISITES
Intro to Heaps
Storing Heaps
Heap: Insert Intro
Heap: Insert Solution
Heap: ExtractMax Intro
Heap: ExtractMax Solution
Priority Queue Intro
Priority Queue Pseudocode
Priority Queue Solution
BIG O of Binary Heaps

24. Hash Tables

PREREQUISITES
Intro to Hash Tables
More About Hash Tables
Intro to Hash Functions
Writing Our First Hash Function
Improving Our Hash Function
Handling Collisions
Hash Table Set and Get
Hash Table Set Solution
Hash Table Get Solution
Hash Table Keys and Values
Hash Table Keys and Values Solution
Hash Table Big O Complexity

25. Graphs

PREREQUISITES
Intro to Graphs
Uses for Graphs
Types of Graphs
Storing Graphs: Adjacency Matrix
Storing Graphs: Adjacency List
Adjacency Matrix Vs. List BIG O
Add Vertex Intro
Add Vertex Solution
Add Edge Intro
Add Edge Solution
Remove Edge Intro
Remove Edge Solution
Remove Vertex Intro
Remove Vertex Solution

26. Graph Traversal

PREREQUISITES
Intro to Graph Traversal
Depth First Graph Traversal
DFS Recursive Intro
DFS Recursive Solution
DFS Iterative Intro
DFS Iterative Solution
Breadth First Graph Traversal
BFS Intro
BFS Solution

27. Dijkstra’s Algorithm!

PREREQUISITES
Intro to Dijkstra’s and Prerequisites
Who was Dijkstra and what is his Algorithm?
Writing a Weighted Graph
Walking through the Algorithm
Introducing Our Simple Priority Queue
Dijkstra’s Pseudo-Code
Implementing Dijkstra’s Algorithm
Upgrading the Priority Queue

28. Dynamic Programming

Intro to Dynamic Programming
Overlapping Subproblems
Optimal Substructure
Writing A Recursive Solution
Time Complexity of Our Solution
The Problem With Our Solution
Enter Memoization!
Time Complexity of Memoized Solution
Tabulation: A Bottom Up Approach

29. The Wild West

VERY IMPORTANT NOTE! PLEASE READ!
SLL
SLL
SLL
SLL
SLL
SLL
push Exercise
pop exercise
get Exercise
insert Exercise
Rotate Exercise
set Exercise
Divide and Conquer – countZeroes
Divide and Conquer – sortedFrequency
Divide and Conquer – findRotatedlndex
Bubble Sort
Selection Sort
SLL – remove Exercise
Insertion Sort
Sorting Exercise – merge helper
Merge Sort
Sorting Exercise – pivot helper
Quick Sort
Radix Sort Helper – getDigit
Radix Sort Helper – digitCount
Radix Sort Helper – mostDigits
Radix Sort
Stacks – push Exercise
Stacks – pop Exercise
Stack with 2 Queues
Queues – enqueue Exercise
Binary Search Tree – insert Exercise
BinarySearchTree – find
Binary Search Tree – remove Exercise
Binary Search Tree
Binary Search Tree
DFS Exercise
BFS Exercise
Binary Search Tree – BFS Exercise
Binary Search Tree – remove Exercise
Binary Search Tree Exercise – Find 2nd largest node
Binary Search Tree Exercise – Check if balanced
BinaryHeap – insert Exercise
BinaryHeap – extractMax Exercise
Graphs Exercise – addVeftex
Graphs Exercise – removeEdge
Graphs Exercise – removeVertex
Graphs – DFS Exercise
Graphs Exercise – addEdge
Graphs – BFS Exercise JavaScript Algorithms and Data Structures
Graphs – Dijkstra Exercise
Dynamic Programming – Coin Change
Coin Change – Greedy Algorithm JavaScript Algorithms and Data Structures
Frequency Counter – constructNote
Frequency Counter – findAllDuplicates
Frequency Counter / Multiple Pointer – findPair
Trie Exercise – addWord
Trie Exercise – removeWord
Trie Exercise – findWord
Trie Exercise – getWords
Trie – autocomplete

Requirements JavaScript Algorithms and Data Structures :

Fundamental understanding of JavaScript syntax.
No prior experience with data structures or computer science required.

Who Should Take This Course:

Individuals gearing up for programming interviews.
Enthusiasts seeking to enhance their problem-solving skills.
Aspiring developers aiming to elevate their coding proficiency.

Is this course suitable for beginners?

bsolutely! Our masterclass caters to learners of all levels, providing a solid foundation for beginners while offering advanced insights for seasoned developers.

How can I access the course JavaScript Algorithms and Data Structures ?

Simply visit howtofree.org and start your educational journey today. The course is entirely free, and you can access it at your own pace.

What sets this masterclass apart from other JavaScript courses?

Our masterclass stands out with its extensive curriculum, hands-on approach, and expert guidance, making it a comprehensive and effective learning resource.

Free on your educational journey today and elevate your programming skills with our JavaScript Algorithms and Data Structures Masterclass – unlocking a world of possibilities in the realm of web development HowToFree.ORG.

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