50Days of DSA JavaScript Data Structures Algorithms LEETCODE
- Description
- Curriculum
- FAQ
- Reviews
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:
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Discuss the optimal approach
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Explain time and space complexity
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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:
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Day 1: Arrays, Big O, Sorted Squared Array, Monotonic Array
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Day 2:Recursion,k-th symbol in Grammar,Josephus problem
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Day 3:Recursion, Tower of Hanoi, Power Sum
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Day 4:Backtracking, Permutations, Permutations 2
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Day 5:Backtracking, Subsets, Subsets 2
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Day 6:Backtracking, Combinations, Combinations Sum 1
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Day 7:Backtracking,Combinations Sum 2,Combinations Sum 3
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Day 8:Backtracking,Sudoku Solver, N Queens
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Day 9:Dynamic Programming, Fibonacci, Climbing Stairs
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Day 10:Dynamic Programming, Min Cost Climbing Stairs, Tribonacci
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Day 11:Dynamic Programming, 01 Knapsack, Unbounded Knapsack
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Day 12:Dynamic Programming, Target Sum, Partition Equal Subset Sum
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Day 13:Dynamic Programming, LCS, Edit Distance
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Day 14:Dynamic Programming, LIS, Max Length of Pair Chain, Russian Doll Envelopes
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Day 15:Dynamic Programming, Palindromic Substrings, Longest Palindromic Substring, Longest Palindromic Subsequence
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Day 16:Dynamic Programming, Palindrome Partitioning, Palindrome Partitioning 2
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Day 17:Dynamic Programming, Word Break, Matrix Chain Multiplication
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Day 18:Dynamic Programming, Kadane’s algorithm – Max Subarray, Maximum Product Subarray
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Day 19:Greedy Algorithms – Fractional Knpasack, Non overlapping Intervals
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Day 20:Greedy Algorithms – Jump Game 1, Minimum # of arrows to burst baloons
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Day 21:Greedy Algorithms – Two City Scheduling, Boats to Save people
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Day 22:Greedy Algorithms – Task Scheduler, Largest Number
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Day 23:Greedy Algorithms – Gas Stations, Jump Game 2
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Day 24: Arrays, Rotate Array, Container with Most Water
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Day 25: Hash Tables, Two Sum, Isomorphic Strings
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Day 26: Strings, Non-Repeating Character, Palindrome
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Day 27: Strings, Longest Unique Substring, Group Anagrams
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Day 28: Searching, Binary Search, Search in Rotated Sorted Array
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Day 29: Searching, Find First and Last Position, Search in 2D Array
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Day 30: Sorting, Bubble Sort, Insertion Sort
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Day 31: Sorting, Selection Sort, Merge Sort
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Day 32: Sorting, Quick Sort, Radix Sort
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Day 33: Singly Linked Lists, Construct SLL, Delete Duplicates
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Day 34: Singly Linked Lists, Reverse SLL, Cycle Detection
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Day 35: Singly Linked Lists, Find Duplicate, Add 2 Numbers
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Day 36: Doubly Linked Lists, DLL Remove Insert, DLL Remove All
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Day 37: Stacks, Construct Stack, Reverse Polish Notation
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Day 38: Queues, Construct Queue, Implement Queue with Stack
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Day 39: Binary Trees, Construct BST, Traversal Techniques
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Day 40: Pre order and In order Traversal of Binary Tree – Iterative
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Day 41: Post Order Traversal Iterative, Path Sum 2
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Day 42: Construct Binary Tree from Pre and In order Traversal ^ In and Post order Traversal
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Day 43: Binary Trees, Level Order Traversal, Left/Right View
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Day 44: Level order Trav 2, ZigZag Traversal
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Day 45: Vertical order Traversal, Sum root to leaf numbers
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Day 46: Binary Trees, Invert Tree, Diameter of Tree
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Day 47: Binary Trees, Convert Sorted Array to BST, Validate BST
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Day 48: Lowest common Ancestor of BST, Unique BST 2
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Day 49: Lowest common Ancestor of Binary Tree, Unique BST 1
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Day 50: Serialize and Deserialize Binary Tree, N-ary Tree Level Order Traversal
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Day 51: Heaps, Max Heap, Min Priority Queue
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Day 52: Graphs, BFS, DFS
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Day 53: Graphs, Number of Connected Components, Topological Sort
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Day 54: Number of Provinces, Find if path exists in Graph
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Day 55: Number of Islands, Numbers with same consecutive differences
My confidence in your satisfaction with this course is so high that we offer a complete money-back guarantee for 30 days! Thus, it’s a totally risk-free opportunity. Register today, facing ZERO risk and standing to gain EVERYTHING.
So what are you waiting for? Join the best Javascript Data Structures & Algorithms Bootcamp on Udemy.
I’m eager to see you in the course.
Let’s kick things off! 🙂
Jackson
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1What you're going to get from this courseVideo lesson
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2Welcome! How to make best use of this course (Please Watch)Video lesson
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3Best Study Technique to prepare for Coding InterviewsText lesson
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4Day 1 GoalsText lesson
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5Introduction to Data StructuresVideo lesson
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6Introduction to Big O, Time ComplexityVideo lesson
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7Asymptotic Analysis and Big OVideo lesson
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8Big O Space ComplexityVideo lesson
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9Big O LogarithmVideo lesson
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10Arrays: Data Structures Crash CourseVideo lesson
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11Quiz: ArraysQuiz
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12CODING EXERCISESText lesson
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13How to log output to debug code in Udemy EditorText lesson
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14CODING INTERVIEW Q1 (Easy): Sorted Squared ArrayVideo lesson
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15CODING INTERVIEW Q1 (Easy): Sorted Squared ArrayQuiz
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16Method 1, Big O AnalysisVideo lesson
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17JS Code - Method 1Video lesson
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18Method 2Video lesson
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19JavaScript Code - Method 2Video lesson
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20CODING INTERVIEW Q2 (Easy): Monotonic ArrayVideo lesson
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21Coding Exercise: Monotonic ArrayQuiz
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22Method and Big O analysisVideo lesson
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23JavaScript Code - Monotonic ArrayVideo lesson
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24Day 2 GoalsText lesson
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25Recursion BasicsVideo lesson
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26Recursive Leap of FaithVideo lesson
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27Visualising RecursionVideo lesson
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28Recursion vs IterationVideo lesson
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29Ways to write Base conditionVideo lesson
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30Recurrence relationVideo lesson
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31How to Solve Recursion QuestionsVideo lesson
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32Recursion Approaches - 0 to N and N to 0Video lesson
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33Recursion is everywhereVideo lesson
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34Complexity Analysis of Recursive SolutionsVideo lesson
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35Quiz: RecursionQuiz
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36CODING INTERVIEW QUESTION (Medium): k-th symbol in GrammarVideo lesson
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37Coding Exercise (k-th symbol in Grammar)Quiz
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38Approach(k-th symbol in Grammar)Video lesson
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39Pseudocode (k-th symbol in Grammar)Video lesson
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40Complexity Analysis(k-th symbol in Grammar)Video lesson
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41JavaScript Solution (k-th symbol in Grammar)Video lesson
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42CODING INTERVIEW QUESTION (Medium): Josephus problemVideo lesson
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43Coding Exercise: Josephus problemQuiz
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44Approach 1Video lesson
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45PseudocodeVideo lesson
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46Complexity AnalysisVideo lesson
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47JavaScript Solution 1: Josephus problem Method 1Video lesson
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48Approach 2Video lesson
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49PseudocodeVideo lesson
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50Complexity AnalysisVideo lesson
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51JavaScript Solution 2 : Josephus problem Method 2Video lesson
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52Approach 3Video lesson
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53Complexity AnalysisVideo lesson
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54JavaScript Solution 3 : Josephus problem Method 3Video lesson
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55Day 3 GoalsText lesson
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56CODING INTERVIEW QUESTION (Medium): Tower of HanoiVideo lesson
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57Coding Exercise(Tower of Hanoi)Quiz
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58Identifying that wew can use RecursionVideo lesson
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59ApproachVideo lesson
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60Recursion TreeVideo lesson
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61JavaScript Solution : Tower of HanoiVideo lesson
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62Complexity Analysis : Tower of HanoiVideo lesson
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63CODING INTERVIEW QUESTION(Medium): Power SumVideo lesson
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64Coding Exercise: Power SumQuiz
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65Method and Big O AnalysisVideo lesson
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66JavaScript Solution: Power SumVideo lesson
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67Day 4 GoalsText lesson
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68What is BacktrackingVideo lesson
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69How is it different from Recursion ?Video lesson
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70How does Backtracking work ?Video lesson
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71Pass by reference / change inplaceVideo lesson
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72Blueprint to solve questions using BacktrackingVideo lesson
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73Identify when to use BacktrackingVideo lesson
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74Quiz: BacktrackingQuiz
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75CODING INTERVIEW QUESTION (Medium): PermutationsVideo lesson
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76Coding Exercise ( Permutations)Quiz
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77ApproachVideo lesson
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78PseudocodeVideo lesson
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79JavaScript Solution : PermutationsVideo lesson
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80Complexity AnalysisVideo lesson
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81CODING INTERVIEW QUESTION(Medium): Permutations 2Video lesson
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82Coding Exercise: Permutations 2Quiz
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83ApproachVideo lesson
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84PseudocodeVideo lesson
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85JavaScript Code: Permutations 2Video lesson
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86Complexity Analysis : Permutations 2Video lesson

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