Data Structures and Algorithms in JavaScript: DSA Course (Udemy.com)

Looking for the best DSA JavaScript course? Master data structures and algorithms in JavaScript with this comprehensive JavaScript DSA course designed for LEETCODE and technical interviews. Learn DSA with JavaScript through 117 coding challenges across 50 structured days. Perfect for mastering DSA in JS and acing your next coding interview.

Student Testimonials:

• "Basically I'm a beginner to javascript but after listening the way of his teaching , i have no word for him he's fabulous person . and I recommend all to watch his course." - Mohd. Amir

• "Excellent explanations and application of theory directly to practice!" - GUILLERMO GABRIEL KELLY SCHMIDT

• "Explanations and demonstrations are on point and it makes grasping easier.." - Emmanuel Apea

• "Excellent Teaching" - Sarhan Sayyed Rasool Shaikh

• "Excellent course. The teacher has mastery of what he explains and the content is of great value."-Vyctor Vieira Guimarães

• "It's an amazing course the instructor is super amazing and the way of teaching it is super awesome clarify everything very well and the roadmap for learning DSA is superb. Go with this guy without a second thought you will love it for sure..." - Shashank Jaiswal

• "Excellent, way of teaching" - Gauri Shankar Jangid

About the Course:

Welcome to the Data Structures and Algorithms Coding Interview Bootcamp with Javascript!

The primary goal of this course is to prepare you for coding interviews at top tech companies. By tackling one problem at a time and understanding its solution, you'll accumulate a variety of tools and techniques for conquering any coding interview.

Daily Data Structures and Algorithms Coding Challenges:

The course is structured around daily coding challenges. Consistent practice will equip you with the skills required to ace coding interviews. For the next 50 days commit to yourself to practice atleast 2 coding interview questions everyday. You don't need any setup for this as the daily coding problem challenges can be solved in the coding environment provided by Udemy. The course will automatically track your progress and you just need to spend your time making actual progress everyday.

Topics Covered:

We start from the basics with Big O analysis, then move on to very important algorithmic techniques such as Recursion, Backtracking and Dynamic Programming Patters. After this we move to cover common data structures, and discuss real problems asked in interviews at tech giants such as Google, Meta, Amazon, Netflix, Apple, and Microsoft.

For each question, we will:

1. Discuss the optimal approach

2. Explain time and space complexity

3. Code the solution in Javascript (you can follow along in your preferred language)

Additional Resources :

The course includes downloadable resources, motivational trackers, and cheat sheets.

Course Outline:

• Day 1: Arrays, Big O, Sorted Squared Array, Monotonic Array

• Day 2:Recursion,k-th symbol in Grammar,Josephus problem

• Day 3:Recursion, Tower of Hanoi, Power Sum

• Day 4:Backtracking, Permutations, Permutations 2

• Day 5:Backtracking, Subsets, Subsets 2

• Day 6:Backtracking, Combinations, Combinations Sum 1

• Day 7:Backtracking,Combinations Sum 2,Combinations Sum 3

• Day 8:Backtracking,Sudoku Solver, N Queens

• Day 9:Dynamic Programming, Fibonacci, Climbing Stairs

• Day 10:Dynamic Programming, Min Cost Climbing Stairs, Tribonacci

• Day 11:Dynamic Programming, 01 Knapsack, Unbounded Knapsack

• Day 12:Dynamic Programming, Target Sum, Partition Equal Subset Sum

• Day 13:Dynamic Programming, LCS, Edit Distance

• Day 14:Dynamic Programming, LIS, Max Length of Pair Chain, Russian Doll Envelopes

• Day 15:Dynamic Programming, Palindromic Substrings, Longest Palindromic Substring, Longest Palindromic Subsequence

• Day 16:Dynamic Programming, Palindrome Partitioning, Palindrome Partitioning 2

• Day 17:Dynamic Programming, Word Break, Matrix Chain Multiplication

• Day 18:Dynamic Programming, Kadane's algorithm - Max Subarray, Maximum Product Subarray

• Day 19:Greedy Algorithms - Fractional Knpasack, Non overlapping Intervals

• Day 20:Greedy Algorithms - Jump Game 1, Minimum # of arrows to burst baloons

• Day 21:Greedy Algorithms - Two City Scheduling, Boats to Save people

• Day 22:Greedy Algorithms - Task Scheduler, Largest Number

• Day 23:Greedy Algorithms - Gas Stations,  Jump Game 2

• Day 24: Arrays, Rotate Array, Container with Most Water

• Day 25: Hash Tables, Two Sum, Isomorphic Strings

• Day 26: Strings, Non-Repeating Character, Palindrome

• Day 27: Strings, Longest Unique Substring, Group Anagrams

• Day 28: Searching, Binary Search, Search in Rotated Sorted Array

• Day 29: Searching, Find First and Last Position, Search in 2D Array

• Day 30: Sorting, Bubble Sort, Insertion Sort

• Day 31: Sorting, Selection Sort, Merge Sort

• Day 32: Sorting, Quick Sort, Radix Sort

• Day 33: Singly Linked Lists, Construct SLL, Delete Duplicates

• Day 34: Singly Linked Lists, Reverse SLL, Cycle Detection

• Day 35: Singly Linked Lists, Find Duplicate, Add 2 Numbers

• Day 36: Doubly Linked Lists, DLL Remove Insert, DLL Remove All

• Day 37: Stacks, Construct Stack, Reverse Polish Notation

• Day 38: Queues, Construct Queue, Implement Queue with Stack

• Day 39: Binary Trees, Construct BST, Traversal Techniques

• Day 40: Pre order and In order Traversal of Binary Tree - Iterative

• Day 41: Post Order Traversal Iterative, Path Sum 2