Grokking the Coding Interview Patterns

Learn 26 coding patterns. Unlock thousands of LeetCode-style questions. Efficiently prepare for coding interviews with strategies developed by FAANG engineers.

Intermediate

427 Lessons

85h

Certificate of Completion

Learn 26 coding patterns. Unlock thousands of LeetCode-style questions. Efficiently prepare for coding interviews with strategies developed by FAANG engineers.

AI-POWERED

Code Feedback

Mock Interview

Explanations

AI-POWERED

Code Feedback

Mock Interview

This course includes

288 Playgrounds

228 Challenges

229 Quizzes

This course includes

288 Playgrounds

228 Challenges

229 Quizzes

Course Overview

With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. Yet with a strategic approach, coding interview prep doesn’t have to take more than a few weeks. Stop drilling endless sets of practice problems, and prepare more efficiently by learning coding interview patterns. This course teaches you the underlying patterns behind common coding interview questions. By learning these essential patterns, you will be able to unpack and answer any...Show More

TAKEAWAY SKILLS

Java

Programming Language

Prepare For Interview

Coding Interview Patterns

Data Structures

Python

What You'll Learn

Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets

Identify the underlying pattern of each interview question by assessing the problem statement (and learn the tricks required to solve it)

Practice your skills in a hands-on, setup-free coding environment

Learn to efficiently evaluate the tradeoffs between time and space complexity in different solutions

Develop a flexible conceptual framework for solving any question, by connecting problem characteristics, solution techniques, and coding design patterns

What You'll Learn

Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets

Course Content

Getting Started

Master coding interview patterns for diverse challenges and improve problem-solving skills efficiently.

Course Overview

Who Should Take This Course

Two Pointers

Master two-pointers to efficiently solve string, array, and linked list problems.

Introduction to Two Pointers

Valid Palindrome Solution: Valid Palindrome

3Sum Solution: 3Sum

Remove Nth Node from End of List Solution: Remove Nth Node from End of List

Sort Colors Solution: Sort Colors

Reverse Words in a String Solution: Reverse Words in a String Valid Word Abbreviation Solution: Valid Word Abbreviation

Valid Palindrome II

Fast and Slow Pointers

Explore fast and slow pointers for cycle detection, middle link finding, and other optimizations.

Introduction to Fast and Slow Pointers

Happy Number Solution: Happy Number

Linked List Cycle Solution: Linked List Cycle

Middle of the Linked List Solution: Middle of the Linked List

Circular Array Loop Solution: Circular Array Loop

Find the Duplicate Number Solution: Find the Duplicate Number

Palindrome Linked List Solution: Palindrome Linked List

Sliding Window

Master the sliding window technique to optimize solutions for subarray and substring challenges.

Introduction to Sliding Window

Repeated DNA Sequences Solution: Repeated DNA Sequences

Sliding Window Maximum Solution: Sliding Window Maximum

Minimum Window Subsequence Solution: Minimum Window Subsequence

Longest Repeating Character Replacement Solution: Longest Repeating Character Replacement

Minimum Window Substring Solution: Minimum Window Substring

Longest Substring without Repeating Characters Solution: Longest Substring without Repeating Characters

Minimum Size Subarray Sum Solution: Minimum Size Subarray Sum

Best Time to Buy and Sell Stock

Merge Intervals

Discover efficient solutions for managing and merging overlapping intervals across various real-world scenarios.

Introduction to Merge Intervals

Merge Intervals Solution: Merge Intervals

Insert Interval Solution: Insert Interval

Interval List Intersections Solution: Interval List Intersections

Employee Free Time Solution: Employee Free Time

Task Scheduler Solution: Task Scheduler

Meeting Rooms II

In-Place Manipulation of a Linked List

14 Lessons

Learn in-place linked list manipulation, reversing in groups or segments, swapping nodes, and reordering. Efficient techniques save memory.

Two Heaps

11 Lessons

Explore two heaps for dynamic data processing, real-time optimizations, and efficient median calculations.

K-way merge

11 Lessons

Discover efficient techniques for merging sorted lists and extracting the k-th smallest elements.

Top K Elements

11 Lessons

Understand and implement patterns and solutions for efficiently finding top K elements in various scenarios.

10.

Modified Binary Search

16 Lessons

Master binary search modifications for diverse scenarios like rotated arrays, range queries, and weighted selection.

11.

Subsets

10 Lessons

Explore subset patterns, permutations, phone letter combinations, balanced parentheses generation, and K-sum subsets.

12.

Greedy Techniques

14 Lessons

Master greedy techniques for solving optimization problems, including Jump Game, Boats to Save People, and Gas Stations.

13.

Backtracking

15 Lessons

Explore backtracking in solving puzzles efficiently, with examples like N-Queens, Sudoku, and pathfinding.

14.

Dynamic Programming

32 Lessons

Delve into dynamic programming techniques for optimization, exploring problem-solving methods and practical implementations.

15.

Cyclic Sort

8 Lessons

Master cyclic sort for efficient in-place sorting, solving problems like identifying missing or corrupt elements.

16.

Topological Sort

12 Lessons

Learn topological sorting for tasks, orders, course schedules, alien dictionary, and recipe planning.

17.

Matrices

9 Lessons

Explore matrix operations, problem-solving techniques for matrix modifications, rotations, spiral traversal, and ball drop simulations.

18.

Stacks

14 Lessons

Learn about stacks, their applications, and solutions to stack-related problems in Java.

19.

Graphs

13 Lessons

Explore graph types, algorithms, and real-world applications through practical problems and solutions.

20.

Tree Depth-First Search

29 Lessons

Explore tree depth-first search techniques and practical applications in solving various binary tree problems, like flattening, diameter, and validation.

21.

Tree Breadth-First Search

14 Lessons

Explore efficient tree traversal techniques with BFS, including level order, zigzag, and vertical.

22.

Trie

14 Lessons

Explore Trie data structures for string operations, search suggestions, word replacement, and word frequency.

23.

Hash Maps

16 Lessons

Learn to design and implement hash maps and solve problems with efficient hash map strategies.

24.

Knowing What to Track

18 Lessons

Explore tracking frequencies for data management, including palindromes, anagrams, Tic-Tac-Toe, and unique characters.

25.

Union Find

18 Lessons

Explore Union Find structures for efficient set management, solving diverse connection problems.

26.

Custom Data Structures

16 Lessons

Explore customized data structures for optimal problem-solving, including Snapshot Array, LRU Cache, and LFU Cache.

27.

Bitwise Manipulation

14 Lessons

Master bitwise manipulation techniques to solve computational problems, optimize data processing, and enhance coding efficiency.

28.

Challenge Yourself

40 Lessons

Refine problem-solving skills through challenging coding exercises and strategic thinking.

29.

Conclusion

1 Lesson

Congratulations on completing the course. Keep practicing and engage with the coding community.

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