Grokking Advanced Coding Patterns for Interviews

Master advanced coding patterns for interviews: Unlock the key to acing MAANG-level coding questions
Level:
Intermediate
Study Time:
40h
Lessons:
128
Playgrounds :
134
4.8
(2249 ratings)
7031 learners
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. This course explores the most essential and advanced coding patterns often seen in 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!

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Course Content
13 Chapters • 128 Lessons
1.
Introduction
1 lesson
Course Overview
2.
Counting Pattern (easy)
13 lessons
Introduction to Counting Pattern
Count Elements With Maximum Frequency (easy)
Solution: Count Elements With Maximum Frequency
Maximum Population Year (easy)
Solution: Maximum Population Year
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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
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Introduction to Simulation Pattern
Array Transformation (easy)
Solution: Array Transformation
Water Bottles (easy)
Solution: Water Bottles
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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
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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
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Introduction to MO’s Algorithm Pattern
XOR Queries of a Subarray (medium)
Solution: XOR Queries of a Subarray
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Introduction to Serialize and Deserialize Pattern
Encode and Decode Strings (medium)
Solution: Encode and Decode Strings
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Serialize and Deserialize N-ary Tree (hard)
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Introduction to Clone Pattern
Copy List with Random Pointer (medium)
Solution: Copy List with Random Pointer
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Clone N-ary Tree (hard)
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Introduction to Articulation Points and Bridges Pattern
Minimum Number of Days to Disconnect Island (hard)
Solution: Minimum Number of Days to Disconnect Island
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Introduction to Segment Tree Pattern
Operations on Segment Tree
Range Minimum Query (easy)
Solution: Range Minimum Query
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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
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Coding Patterns: A Cheat Sheet
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