50Days of DSA JavaScript Data Structures Algorithms LEETCODE
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“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 JangidAbout 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:Discuss the optimal approachExplain time and space complexityCode 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 ArrayDay 2:Recursion,k-th symbol in Grammar,Josephus problemDay 3:Recursion, Tower of Hanoi, Power SumDay 4:Backtracking, Permutations, Permutations 2Day 5:Backtracking, Subsets, Subsets 2Day 6:Backtracking, Combinations, Combinations Sum 1Day 7:Backtracking,Combinations Sum 2,Combinations Sum 3Day 8:Backtracking,Sudoku Solver, N QueensDay 9:Dynamic Programming, Fibonacci, Climbing StairsDay 10:Dynamic Programming, Min Cost Climbing Stairs, TribonacciDay 11:Dynamic Programming, 01 Knapsack, Unbounded KnapsackDay 12:Dynamic Programming, Target Sum, Partition Equal Subset SumDay 13:Dynamic Programming, LCS, Edit DistanceDay 14:Dynamic Programming, LIS, Max Length of Pair Chain, Russian Doll EnvelopesDay 15:Dynamic Programming, Palindromic Substrings, Longest Palindromic Substring, Longest Palindromic SubsequenceDay 16:Dynamic Programming, Palindrome Partitioning, Palindrome Partitioning 2Day 17:Dynamic Programming, Word Break, Matrix Chain MultiplicationDay 18:Dynamic Programming, Kadane’s algorithm – Max Subarray, Maximum Product SubarrayDay 19:Greedy Algorithms – Fractional Knpasack, Non overlapping IntervalsDay 20:Greedy Algorithms – Jump Game 1, Minimum # of arrows to burst baloonsDay 21:Greedy Algorithms – Two City Scheduling, Boats to Save peopleDay 22:Greedy Algorithms – Task Scheduler, Largest NumberDay 23:Greedy Algorithms – Gas Stations, Jump Game 2Day 24: Arrays, Rotate Array, Container with Most WaterDay 25: Hash Tables, Two Sum, Isomorphic StringsDay 26: Strings, Non-Repeating Character, PalindromeDay 27: Strings, Longest Unique Substring, Group AnagramsDay 28: Searching, Binary Search, Search in Rotated Sorted ArrayDay 29: Searching, Find First and Last Position, Search in 2D ArrayDay 30: Sorting, Bubble Sort, Insertion SortDay 31: Sorting, Selection Sort, Merge SortDay 32: Sorting, Quick Sort, Radix SortDay 33: Singly Linked Lists, Construct SLL, Delete DuplicatesDay 34: Singly Linked Lists, Reverse SLL, Cycle DetectionDay 35: Singly Linked Lists, Find Duplicate, Add 2 NumbersDay 36: Doubly Linked Lists, DLL Remove Insert, DLL Remove AllDay 37: Stacks, Construct Stack, Reverse Polish NotationDay 38: Queues, Construct Queue, Implement Queue with StackDay 39: Binary Trees, Construct BST, Traversal TechniquesDay 40: Pre order and In order Traversal of Binary Tree – IterativeDay 41: Post Order Traversal Iterative, Path Sum 2Day 42: Construct Binary Tree from Pre and In order Traversal ^ In and Post order TraversalDay 43: Binary Trees, Level Order Traversal, Left/Right ViewDay 44: Level order Trav 2, ZigZag TraversalDay 45: Vertical order Traversal, Sum root to leaf numbersDay 46: Binary Trees, Invert Tree, Diameter of TreeDay 47: Binary Trees, Convert Sorted Array to BST, Validate BSTDay 48: Lowest common Ancestor of BST, Unique BST 2Day 49: Lowest common Ancestor of Binary Tree, Unique BST 1Day 50: Serialize and Deserialize Binary Tree, N-ary Tree Level Order TraversalDay 51: Heaps, Max Heap, Min Priority QueueDay 52: Graphs, BFS, DFSDay 53: Graphs, Number of Connected Components, Topological SortDay 54: Number of Provinces, Find if path exists in GraphDay 55: Number of Islands, Numbers with same consecutive differencesMy 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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