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JavaScript Data Structures & Algorithms + LEETCODE Exercises by Udemy

DSA for Cracking the Coding Interview. Animated Examples for Faster Learning and Deeper Understanding.

       
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Course Highlights
  • <> 87 Coding Exercises
  • Learn DSA Faster with Animated Examples
  • Mastery of Data Structures and Algorithms
  • Confidently Answer Technical Interview Questions
  • Time and Space Complexity of Data Structures and Algorithms
  • Strengthen Your Skills as a Developer

Overview

Who Will Benefit from the Course?

  • JavaScript Developers: Go deeper with data structures and algorithms to improve your JavaScript skills.
  • Computer Science Students: Combine your academic education with practical coding practices.
  • Job Seekers & Interviewees: For DSA interview questions typically asked in coding interviews, prepare for technical interviews.
  • Self-Learners: People who focus on improving their coding skills and problem-solving capabilities.

More about the Course

  • The arrays, linked lists, stacks and queues.
  • Trees and Graphs.
  • Hash Tables and Heaps.
  • Searching and Sorting Algorithms.
  • Dynamic Programming and Greedy Algorithms.
  • Divide and Conquer.
  • Apply theoretical frameworks to solve a variety of LEETCODE problems.
  • Discover approaches to dealing with typical programming issues.
  • Creating effective problem-solving techniques to ensure time and space complexity minimisation.
  • Visualize complicated concepts using animated examples for better comprehension.
  • Interactive visualisations provide insights into algorithmic principles.
  • Encourage a more intuitive understanding of concepts in abstract DSA.
  • Practice technical interviews centring on JavaScript-driven DSA.
  • Know popular interview questions and recommended solution approaches.
  • Practical approach to developing problem-solving skills.

Who Should Do This Course?

  • Developers of JavaScript: Ideal for JavaScript developers interested in learning data structures and algorithms to improve their code.
  • Computer Science Students: Ideal for computer science students, supplementing academic courses and preparing for real-world applications.
  • Job Seekers: Effective for technical interview preparation in the competitive tech job market, concentrating on popular questions and problem-solving.
  • Self-Learners: For self-paced learners, LEETCODE activities provide an organised approach to data structures and algorithms.
  • Coding Interview Candidates: The course covers JavaScript-based DSA and popular interview questions, making it essential for coding interview preparation.
  • Career builders: Suitable for professionals seeking career advancement by increasing their data structures and algorithms foundation, essential for coding employment.
Curriculum
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3 Topics
Introduction
Overview (Please Watch)
Code Editor

12 Topics
Big O: Intro
Big O: Worst Case
Big O: O(n)
Big O: Drop Constants
Big O: O(n^2)
Big O: Drop Non-Dominants
Big O: O(1)
Big O: O(log n)
Big O: Different Terms for Input
Big O: Arrays
Big O: Wrap Up
Big O

2 Topics
Classes
Pointers

16 Topics
Linked List: Intro
LL: Big O
LL: Under the Hood
LL: Constructor
Coding Exercises (Important)
LL: Push
LL: Pop - Intro
LL: Pop - Code
LL: Unshift
LL: Shift
LL: Get
LL: Set
LL: Insert
LL: Remove
LL: Reverse
Linked List Big O

10 Topics
LL: Constructor
LL: Push
LL: Pop
LL: Unshift
LL: Shift
LL: Get
LL: Set
LL: Insert
LL: Remove
LL: Reverse

7 Topics
LL: Find Middle Node ( ** Interview Question)
LL: Has Loop ( ** Interview Question)
LL: Find Kth Node From End ( ** Interview Question)
LL: Partition List ( ** Interview Question)
LL: Remove Duplicates ( ** Interview Question)
LL: Binary to Decimal ( ** Interview Question)
LL: Reverse Between ( ** Interview Question)

9 Topics
DLL: Constructor
DLL: Push
DLL: Pop
DLL: Unshift
DLL: Shift
DLL: Get
DLL: Set
DLL: Insert
DLL: Remove

9 Topics
DLL: Constructor
DLL: Push
DLL: Pop
DLL: Unshift
DLL: Shift
DLL: Get
DLL: Set
DLL: Insert
DLL: Remove

4 Topics
DLL: Swap First and Last ( ** Interview Question)
DLL: Reverse ( ** Interview Question)
DLL: Palindrome Checker ( ** Interview Question)
DLL: Swap Nodes in Pairs ( ** Interview Question)

9 Topics
Stack: Intro
Stack: Constructor
Stack: Push
Stack: Pop
Queue: Intro
Queue: Constructor
Queue: Enqueue
Queue: Dequeue
Stacks & Queues Big O

6 Topics
Stack: Constructor
Stack: Push
Stack: Pop
Queue: Constructor
Queue: Enqueue
Queue: Dequeue

7 Topics
Stack: Push for a Stack That Uses an Array ( ** Interview Question)
Stack: Pop for a Stack That Uses an Array ( ** Interview Question)
Stack: Reverse String ( ** Interview Question)
Stack: Parentheses Balanced ( ** Interview Question)
Stack: Sort Stack ( ** Interview Question)
Queue Using Stacks: Enqueue ( ** Interview Question)
Queue Using Stacks: Dequeue ( ** Interview Question)

9 Topics
Trees: Intro & Terminology
Binary Search Trees: Example
BST: Big O
BST: Constructor
BST: Insert - Intro
BST: Insert - Code
BST: Contains
BST: Minimum Value
BST Big O

4 Topics
BST: Constructor
BST: Insert
BST: Contains
BST: Minimum Value

9 Topics
Hash Table: Intro
HT: Collisions
HT: Constructor
HT: Set
HT: Get
HT: Keys
HT: Big O
HT: Interview Question
Hash Table Big O

4 Topics
HT: Constructor
HT: Set
HT: Get
HT: Keys

11 Topics
HT: Item In Common
HT: Find Duplicates ( ** Interview Question)
HT: First Non-Repeating Character ( ** Interview Question)
HT: Group Anagrams ( ** Interview Question)
HT: Two Sum ( ** Interview Question)
HT: Subarray Sum ( ** Interview Question)
Introduction to Sets
Set: Remove Duplicates
Set: Has Unique Chars ( ** Interview Question)
Set: Find Pairs ( ** Interview Question)
Set: Longest Consecutive Sequence ( ** Interview Question)

9 Topics
Graph: Intro
Graph: Adjacency Matrix
Graph: Adjacency List
Graph: Big O
Graph: Add Vertex
Graph: Add Edge
Graph: Remove Edge
Graph: Remove Vertex
Graphs

4 Topics
Graph: Add Vertex
Graph: Add Edge
Graph: Remove Edge
Graph: Remove Vertex

3 Topics
Recursion: Intro
Call Stack
Factorial

9 Topics
Tree Traversal: Intro
BFS (Breadth First Search): Intro
BFS: Code
DFS (Depth First Search): PreOrder - Intro
DFS: PreOrder - Code
DFS: PostOrder - Intro
DFS: PostOrder - Code
DFS: InOrder - Intro
DFS: InOrder - Code

4 Topics
BST: Breadth First Search (BFS)
BST: DFS PreOrder
BST: DFS PostOrder
BST: DFS InOrder

8 Topics
Bubble Sort: Intro
Bubble Sort: Code
Selection Sort: Intro
Selection Sort: Code
Insertion Sort: Intro
Insertion Sort: Code
Insertion Sort: Big O
Basic Sorts

3 Topics
Bubble Sort
Selection Sort
Insertion Sort

3 Topics
Bubble Sort of LL ( ** Interview Question)
Selection Sort of LL ( ** Interview Question)
Insertion Sort of LL ( ** Interview Question)

6 Topics
Merge Sort: Overview
Merge: Intro
Merge: Code
Merge Sort: Intro
Merge Sort: Code
Merge Sort: Big O

2 Topics
Merge
Merge Sort

1 Topic
LL: Merge Two Sorted Lists ( ** Interview Question)

5 Topics
Quick Sort: Intro
Pivot: Intro
Pivot: Code
Quick Sort: Code
Quick Sort: Big O

2 Topics
Pivot
Quick Sort

7 Topics
Array: Remove Element ( ** Interview Question)
Array: Find Max Min ( ** Interview Question)
Array: Find Longest String ( ** Interview Question)
Array: Remove Duplicates ( ** Interview Question)
Array: Max Profit ( ** Interview Question)
Array: Rotate ( ** Interview Question)
Array: Max Sub Array ( ** Interview Question)

1 Topic
Coding Exercises Are Now After Each Section - (CLICK HERE FOR MORE INFO)

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JavaScript Data Structures & Algorithms + LEETCODE Exercises

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Frequently Asked Questions
Essential JavaScript is only suggested, but the course provides a complete review of fundamental concepts.
Yes, visual learners benefit from using animated examples because they have a more dynamic and interactive nature that allows for understanding complex concepts quickly.
Absolutely! The course focuses on the DSA, which is most commonly asked in coding interviews; thus, it is a good preparation.
LEETCODE exercises provide practical application, which helps to apply theoretical concepts better and develop problem-solving skills.
Different difficulty levels on LEETCODE are covered in the course, and learners can be prepared to learn different coding skills.


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