Course Overview

Grokking Advanced Coding Patterns for Interviews course, specially crafted for students and professionals aiming to crack coding interviews at top tech companies like MAANG (Meta, Apple, Amazon, Netflix, Google) and beyond. Master advanced coding patterns with Grokking Advanced Coding Patterns for Interviews. Learn essential strategies to solve LeetCode-style questions and ace technical interviews!. Our goal is to equip you with the strategies and insights needed to solve even the trickiest coding problems with confidence and efficiency. Each pattern is carefully explained with practical examples, step-by-step algorithms, and multiple problem-solving techniques to help you grasp the concepts thoroughly and apply them effectively.
Whether you are a student aspiring to secure your dream job or a professional looking to level up your interview skills, this course provides everything you need to stand out. From understanding the fundamentals of key patterns like Counting, Simulation, and Segment Trees, to mastering more advanced techniques like Mo’s Algorithm and Articulation Points, you’ll learn to recognize and implement these patterns across a wide range of problems. By the end of this course, you’ll be well-prepared to tackle any coding problem, confidently handle interview questions, and impress potential employers with your problem-solving abilities. Enroll today and take a big step towards acing your next interview!

Course Contents

1. Introduction

•       Course Overview

2. Counting Pattern (easy)

•       Introduction to Counting Pattern
•       Count Elements With Maximum Frequency (easy)
•       Solution: Count Elements With Maximum Frequency
•       Maximum Population Year (easy)
•       Solution: Maximum Population Year

3. Monotonic Queue Pattern (easy)

•       Introduction to Monotonic Queue Pattern
•       Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit (medium)
•       Solution: Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit
•       Minimum Number of Coins for Fruits (medium)
•       Solution: Minimum Number of Coins for Fruits

4. Simulation Pattern (easy)

•       Introduction to Simulation Pattern
•       Array Transformation (easy)
•       Solution: Array Transformation
•       Water Bottles (easy)
•       Solution: Water Bottles

5. Linear Sorting Algorithm Pattern (easy)

•       Introduction to Linear Sorting Algorithms
•       Counting Sort Algorithm
•       Radix Sort Algorithm
•       Bucket Sort Algorithm
•       Relative Sort Array (easy)
•       Solution: Relative Sort Array
•       Height Checker (easy)
•       Solution: Height Checker

6. Meet in the Middle Pattern (medium)

•       Introduction to Meet in the Middle
•       Subset Sum Equal to Target (medium)
•       Solution: Subset Sum Equal to Target
•       Subsets having Sum between A and B (hard)
•       Solution: Subsets having Sum between A and B

7. MO’s Algorithm Pattern (medium)

•       Introduction to MO’s Algorithm Pattern
•       XOR Queries of a Subarray (medium)
•       Solution: XOR Queries of a Subarray

8. Serialize and Deserialize Pattern (medium)

•       Introduction to Serialize and Deserialize Pattern
•       Encode and Decode Strings (medium)
•       Solution: Encode and Decode Strings
•       Serialize and Deserialize N-ary Tree (hard)

9. Clone Pattern (medium)

•       Introduction to Clone Pattern
•       Copy List with Random Pointer (medium)
•       Solution: Copy List with Random Pointer
•       Clone N-ary Tree (hard)

10. Articulation Points and Bridges Pattern (hard)

•       Introduction to Articulation Points and Bridges Pattern
•       Minimum Number of Days to Disconnect Island (hard)
•       Solution: Minimum Number of Days to Disconnect Island

11. Segment Tree Pattern (hard)

•       Introduction to Segment Tree Pattern
•       Operations on Segment Tree
•       Range Minimum Query (easy)
•       Solution: Range Minimum Query

12. Binary Indexed Tree Pattern (hard)

•       Introduction to Binary Indexed Tree Pattern
•       Implementation of Binary Indexed Tree
•       Number of Longest Increasing Subsequence (medium)
•       Solution: Number of Longest Increasing Subsequence
•       Maximum Profitable Triplets With Increasing Prices I (medium)
•       Solution: Maximum Profitable Triplets With Increasing Prices I

13. Revision

•       Coding Patterns: A Cheat Sheet