Practice data structure and algorithms questions for interviews at FAANG companies like Google, Facebook, Apple & Amazon
What you'll learn
Solve Easy to Hard Difficulty problems using different data structures and algorithms
How to solve some of the most popular interview questions asked by major tech companies
Breaking down the coding interview problems in a step by step, systematic manner
Popular problems patterns
Strengthen your problem solving and programming skills
Requirements
Basic Knowledge of fundamental data structures and algorithms is preferred
Basic Knowledge of PHP is preferred
If you want to submit the code yourself, you should be familiar with leetcode and have an account
Description
Want to master popular problem-solving techniques, data structures, and algorithms that interviewers love? Dive right in!Crave step-by-step explanations for the industry's hottest interview questions? We've got you covered.Looking to up your game in competitive programming? Buckle up for a thrilling journey!Welcome to the course!In this course, you'll have a detailed, step by step explanation of hand-picked LeetCode questions where you'll learn about the most popular techniques and problems used in the coding interview, This is the course I wish I had when I was doing my interviews. and it comes with a 30-day money-back guaranteeWhat is LeetCode?LeetCode is essentially a huge repository of real interview questions asked by the most popular tech companies ( Google, Amazon, Facebook, Microsoft, and more ).The problem with LeetCode is also its advantage, IT'S HUGE, so huge in fact that interviewers from the most popular companies often directly ask questions they find on LeetCode, So it's hard to navigate through the huge amount of problems to find those that really matter, this is what this course is for.I spent countless hours on LeetCode and I'm telling you that you don't have to do the same and still be able to get a job at a major tech company.Course overview :In this course, I compiled the most important and the most popular interview questions asked by these major companies and I explain them, in a true STEP BY STEP fashion to help you understand exactly how to solve these types of questions.The problems are handpicked to ensure complete coverage of the most popular techniques, data structures, and algorithms used in interviews so you can generalise the patterns you learn here on other problems.Each problem gets multiple videos :Explanation and intuition video(s): we do a detailed explanation of the problems and its solution, this video will be longer because we will do a step by step explanation for the problems.Coding video(s): where we code the solution discussed in the explanation video together.Walkthrough video(s): where we go over each line of code and see what it doesWe will use basic PHP for this course to code our solutions, previous knowledge in PHP is preferred but NOT required for the coding part of the course.The problems are categorised for easier navigation and will be regularly updated with more popular and interesting problems.Some of the stuff this course will cover are :Arrays and Strings interview questions.Searching interview questions and algorithms.Dynamic Programming interview questions.Backtracking interview questions ( With step by step visualisation ).Trees and Graphs interview questions and algorithms.Data structures Like Stacks, Queues, Maps, Linked Lists, and more.In other words, this course is your one-stop-shop for your dream job.
Overview
Section 1: Introduction
Lecture 1 What to do if you don't understand an explanation or code video (Important)
Lecture 2 Utilise the video format of online courses
Section 2: Microsoft Array Question: Container with most water (Medium)
Lecture 3 Introduction to the problem
Lecture 4 Brute force solution
Lecture 5 pseudocode walkthrough
Lecture 6 Better Approach intuition
Lecture 7 Approach 2 Pseudocode walkthrough
Lecture 8 Implementing the code
Section 3: Google Array Question: Valid mountain array (Easy)
Lecture 9 Introduction to the problem
Lecture 10 How to think about this problem
Lecture 11 Pseudocode Walkthrough
Lecture 12 Implementing the code
Section 4: Google Array Question: Boats to save people (Medium)
Lecture 13 Problem Introduction
Lecture 14 How to intuitively think about this problem
Lecture 15 Pseudocode Walkthrough
Lecture 16 Implementing the code
Section 5: Facebook Array Question: Move Zeroes (Easy)
Lecture 17 Brute force Intuition
Lecture 18 Brute force pseudocode walkthrough
Lecture 19 Better Approach Intuition
Lecture 20 Better Approach Pseudocode walkthrough
Lecture 21 Implementing the code
Section 6: Amazon Array Question: Longest substring without repeating characters (Medium)
Lecture 22 Introduction to the problem
Lecture 23 Brute Force Intuition
Lecture 24 Pseudocode walkthrough
Lecture 25 Approach 2 Intuition
Lecture 26 Approach 2 pseudocode walkthrough
Lecture 27 Implementing the code
Section 7: Arrays Question:Find first and last position of element in sorted Array (Medium)
Lecture 28 Introduction to the problem and brute force approach
Lecture 29 Brute force Pseudocode walkthrough
Lecture 30 Approach 2: Optimal Approach intuition
Lecture 31 Pseudocode walkthrough part 1
Lecture 32 Pseudocode walkthrough part 2
Lecture 33 Implementing the code
Section 8: Google Array question: first bad version (Easy)
Lecture 34 Introduction To The Problem And Brute Force Approach
Lecture 35 Optimal Solution Intuition
Lecture 36 Optimal solution pseudocode walkthrough
Lecture 37 Implementing the code
Section 9: Microsoft Math Question: Missing Number (Easy-ish)
Lecture 38 Introduction to the problem
Lecture 39 Approach 1: Brute Force Approach
Lecture 40 Approach 2: A Better Approach Explanation
Lecture 41 PseudoCode Walkthrough For Approach 2
Lecture 42 Implementing the code
Lecture 43 Approach 3: Optimal Approach
Lecture 44 Implementing the optimal approach
Section 10: Amazon Math Question: Count Primes
Lecture 45 Problem Introduction And Brute Force Explanation
Lecture 46 Pseudocode Walkthrough For Brute Force Approach
Lecture 47 Approach 2: Optimal solution
Lecture 48 Pseudocode Walkthrough For Optimal Approach
Lecture 49 Code Implementation
Section 11: Airbnb Math Question: Single Number
Lecture 50 Introduction to the problem and brute force approach
Lecture 51 Pseudocode walkthrough for brute approach
Lecture 52 Approach 2: better Approach
Lecture 53 Implementing the code
Lecture 54 Approach 3: optimal approach
Lecture 55 Implementing the optimal approach
Section 12: Amazon Math Question: Robot return to origin (Easy)
Lecture 56 Explaining the problem
Lecture 57 Implementing the code
Section 13: Facebook Math Question: Add Binary (Easy)
Lecture 58 Introduction to the problem
Lecture 59 Examples of binary additions
Lecture 60 Pseudocode Implementation
Lecture 61 Pseudocode Walkthrough
Lecture 62 Implementing the code
Section 14: Google Hash Tables / Dictionaries question: Two Sum (Easy)
Lecture 63 Approach 1: Introduction to the problem and brute force approach
Lecture 64 Brute force Pseudocode Implementation
Lecture 65 Pseudocode Walkthrough
Lecture 66 Approach 2: Optimal Approach Explanation
Lecture 67 Pseudocode Walkthrough
Lecture 68 Code Implementation
Section 15: Google Hash Tables / Dictionaries question: Contains Duplicate
Lecture 69 Introduction to the problem and multiple approaches
Lecture 70 Optimal Approach
Lecture 71 Code Implementation
Section 16: Google Hash Tables / Dictionaries question: Majority Element
Lecture 72 Approach 1 Intuition
Lecture 73 Approach 1 Pseudocode Walkthrough
Lecture 74 Approach 2 - Majority Element Intuition
Lecture 75 Implementing Approach 2 code
Lecture 76 Approach 3 Intuition - Optimal solution
Lecture 77 Approach 3 Walkthrough - Optimal solution
Lecture 78 Implementing Approach 3 (optimal approach)
Section 17: Hash Tables / Dictionaries question: 4sum 2 (Medium)
Lecture 79 Brute force Explanation
Lecture 80 Brute Force Pseudocode Walkthrough
Lecture 81 Approach 2: Optimal approach
Lecture 82 Implementing the code
Section 18: LinkedIn Hash Tables / Dictionaries question: Minimum Window Substring (Hard)
Lecture 83 Explanation - Minimum Window Substring - part 1
Lecture 84 Explanation - Minimum window substring - part 2
Lecture 85 Explanation - Minimum window substring - part 3
Lecture 86 Pseudocode Implementation
Lecture 87 Pseudocode Walkthrough
Lecture 88 Code Implementation - Minimum Window Substring
Section 19: Facebook Hash Tables / Dictionaries question: Group Anagrams (Medium)
Lecture 89 Explanation - Group Anagrams - Medium #49
Lecture 90 Coding the implementation
Section 20: Microsoft Hash Tables / Dictionaries question: LRU Cache (Medium)
Lecture 91 Introduction to the problem
Lecture 92 Input/Output for the problem
Lecture 93 Intuition behind the problem
Lecture 94 Pseudocode implementation
Section 21: Apple Linked list question: Merge Two Sorted Lists (Easy)
Lecture 95 Explanation - Merge Two Sorted Lists - Easy #21
Lecture 96 Pseudocode Implementation - Merge Two Sorted Lists - Easy #21
Lecture 97 Walkthrough - Merge Two Sorted Lists - Easy #21
Lecture 98 Code - Merge Two Sorted Lists - Easy #21
Section 22: Amazon Linked list question: Linked list cycle (Medium)
Lecture 99 Explanation - Linked List Cycle - Easy #141
Lecture 100 Intuition - Linked List Cycle - Easy #141
Lecture 101 Walkthrough - Linked List Cycle - Easy #141
Lecture 102 Code - Linked List Cycle - Easy #141
Section 23: Microsoft Linked list question: Reverse linked list (Medium)
Lecture 103 Explanation - Reverse Linked List
Lecture 104 Intuition - Reverse Linked List
Lecture 105 pseudocode Implementation & Walkthrough - Reverse Linked List
Lecture 106 Implementing the code - Reverse Linked List
Section 24: Adobe Linked list question: Add two numbers (Medium)
Lecture 107 Explanation - Add Two Numbers
Lecture 108 Intuition - Add Two Numbers
Lecture 109 Pseudocode Implementation - Add Two Numbers
Lecture 110 Walkthrough - Add Two Numbers
Lecture 111 Code - Add Two Numbers
Section 25: Linked list question: Remove Nth node from end of list (Medium)
Lecture 112 Explanation - Remove Nth Node From End of List
Lecture 113 Intuition - Remove Nth Node From End of List
Lecture 114 Walkthrough - Remove Nth Node From End of List
Lecture 115 Approach 2 Explanation - Remove Nth Node From End of List
Lecture 116 Approach 2 Walkthrough - Remove Nth Node From End of List
Lecture 117 Code - Remove Nth Node From End of List
Section 26: Linked list question: Odd Even linked list (Medium)
Lecture 118 Explanation - Odd Even Linked List
Lecture 119 Intuition - Odd Even Linked List
Lecture 120 Implementation - Odd Even Linked List
Lecture 121 Walkthrough - Odd Even Linked List
Lecture 122 Code - Odd Even Linked List
Section 27: Facebook Backtracking question: Subsets (Medium)
Lecture 123 Explanation - Subsets
Lecture 124 Cascading solution explanation - Subsets
Lecture 125 Cascading solution walkthrough - Subsets
Lecture 126 Backtracking Approach 2 explanation - Subsets
Lecture 127 Implementing the code
Section 28: Amazon Backtracking question: Letter Combination of a Phone Number (Medium)
Lecture 128 Explanation - Letter Combinations of a Phone Number
Lecture 129 Intuition - Letter Combinations of a Phone Number
Lecture 130 Walkthrough - Letter Combinations of a Phone Number
Lecture 131 Code - Letter Combinations of a Phone Number
Section 29: Uber Backtracking question: Combination Sum (Medium)
Lecture 132 Explanation the problem
Lecture 133 Intuition behind the problem
Lecture 134 Walkthrough over the pseudocode
Lecture 135 Implementing the code
Section 30: Bloomberg Backtracking question: Palindrome Partitioning (Medium)
Lecture 136 Explaining the problem
Lecture 137 Pseudocode implementation
Lecture 138 Walkthrough over pseudocode
Lecture 139 Implementing the code
Section 31: Microsoft Trees question: Symmetric Trees (Easy)
Lecture 140 Explaining the problem
Lecture 141 Intuition behind the problem
Lecture 142 Walkthrough over pseudocode
Lecture 143 Implementing the code
Section 32: Google Trees question: Maximum Depth of a Binary Tree (Easy)
Lecture 144 Explaining the problem
Lecture 145 Intuition and pseudocode implementation
Lecture 146 Walkthrough over pseudocode
Lecture 147 Implementing the real code
Section 33: Amazon Trees question: Path Sum (Easy)
Lecture 148 Explaining the problem
Lecture 149 Intuition behind the problem
Lecture 150 Walkthrough over pseudocode
Lecture 151 Coding the solution
Section 34: Facebook Trees question: Lowest Common Ancestor of a Binary Tree (Medium)
Lecture 152 Explaining the problem
Lecture 153 Intuition behind the problem
Lecture 154 Pseudocode implementation
Lecture 155 Coding Implementing
Section 35: Google Trees question: Kth Smallest Element In a BST (Medium)
Lecture 156 Explaining the problem and brute force approach
Lecture 157 Optimised Solution Explanation
Lecture 158 Implementing the code
Section 36: Microsoft Trees question: Serialise And Deserialise Binary Tree (Hard)
Lecture 159 Explaining the "Serialisation"
Lecture 160 Walkthrough over pseudocode (Serialisation)
Lecture 161 Explaining the "Deserialisation"
Lecture 162 Walkthrough over pseudocode (Deserialisation)
Section 37: Microsoft Trees question: Binary Tree Maximum Path Sum (Hard)
Lecture 163 Explaining the problem
Lecture 164 Intuition behind the problem
Lecture 165 Walkthrough over pseudocode
Lecture 166 Coding the solution
Section 38: Google Stack Question: Min Stack (Easy)
Lecture 167 Brute force explanation
Lecture 168 Walkthrough over pseudocode
Lecture 169 Optimal solution explanation
Lecture 170 Implementing the code
Section 39: Amazon Stack Question: Valid Parenthesis (Easy)
Lecture 171 Explaining the problem
Lecture 172 Intuition behind this problem
Lecture 173 Pseudocode Implementation
Lecture 174 Walkthrough over the pseudocode
Lecture 175 Implementing the code
Section 40: Apple Stack Question: Binary Tree Level Order Traversal (Medium)
Lecture 176 Explaining the problem
Lecture 177 Walkthrough over pseudocode
Lecture 178 Implementing the code
Section 41: Microsoft Queue Question: Binary Tree Zigzag Level Order Traversal (Medium)
Lecture 179 Explaining the problem
Lecture 180 Intuition behind the problem
Lecture 181 Walkthrough over pseudocode
Lecture 182 Optimal solution explanation
Lecture 183 Optimal solution pseudocode walkthrough
Lecture 184 Implementing the code
Section 42: Stack Question: Binary Tree Postorder Traversal (Medium)
Lecture 185 Explanation of the problem
Lecture 186 Implementing the code
Section 43: Google Dynamic Programming Question: House Robber (Easy)
Lecture 187 Explanation behind the problem
Lecture 188 Intuition behind the problem
Lecture 189 2nd Approach: Bottom Up dynamic programming
Lecture 190 Walkthrough behind pseudocode
Lecture 191 Implementing the code
Section 44: Facebook Dynamic Programming Question: Best Time To Buy And Sell Stocks (Easy)
Lecture 192 Explanation behind the problem
Lecture 193 Intuition behind the problem
Lecture 194 Walkthrough over pseudocode
Lecture 195 Optimal solution explanation
Lecture 196 Coding the solution
Section 45: Amazon Dynamic Programming Question: Climbing Stairs (Easy)
Lecture 197 Explaining the problem
Lecture 198 Intuition behind the problem
Lecture 199 Implementation the pseudocode
Lecture 200 Bottom up approach explanation
Lecture 201 Bottom up approach walkthrough
Lecture 202 Bottom up optimisation
Lecture 203 Code - Climbing Stairs
Section 46: Google Dynamic Programming Question: Coin Change (Medium)
Lecture 204 Explaining the problem
Lecture 205 Intuition behind the problem
Lecture 206 Pseudocode Implementation and optimisation
Lecture 207 Bottom up approach explanation
Lecture 208 Implementing the code
Section 47: Bloomberg Dynamic Programming Question: Unique Paths (Medium)
Lecture 209 Explaining the problem
Lecture 210 Pseudocode Implementation and walkthrough
Lecture 211 Implementing the code
Section 48: Microsoft Dynamic Programming Question: Longest Palindromic Substring (Medium)
Lecture 212 Explanation of the problem
Lecture 213 Initial Intuition behind the problem
Lecture 214 Optimising the previous solution
Lecture 215 Pseudocode Implementation
Lecture 216 Walkthrough over pseudocode
Lecture 217 Implementing the code
Section 49: Amazon Dynamic Programming Question: Trapping Rain Water (Hard)
Lecture 218 Explaining the problem
Lecture 219 Coding the implementation
Developers eager to pass the coding interview at huge companies like Google, Facebook, Microsoft, Amazon, etc.,People who want to develop their problem solving skills.,Developers getting ready for their technical interviews.,Students getting ready for their internship coding interviews.,People who want to get better at competitive programming
Screenshots

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