Master 24 essential coding patterns to solve thousands of LeetCode-style questions. Efficiently prepare for coding interviews with the ultimate course created by FAANG engineers.

Intermediate

509 Lessons

85h

Certificate of Completion

Master 24 essential coding patterns to solve thousands of LeetCode-style questions. Efficiently prepare for coding interviews with the ultimate course created by FAANG engineers.

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This course includes

329 Playgrounds

269 Challenges

270 Quizzes

This course includes

329 Playgrounds

269 Challenges

270 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...

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

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Course Content

1.

Getting Started

Get familiar with coding design patterns to excel in coding interviews.

2.

Two Pointers

Walk through the fundamentals of the two-pointers technique for solving various coding problems.

Introduction to Two PointersValid PalindromeSolution: Valid Palindrome3SumSolution: 3SumRemove Nth Node from End of ListSolution: Remove Nth Node from End of ListSort ColorsSolution: Sort ColorsReverse Words in a StringSolution: Reverse Words in a StringValid Word AbbreviationSolution: Valid Word AbbreviationStrobogrammatic NumberSolution: Strobogrammatic NumberMinimum Number of Moves to Make PalindromeSolution: Minimum Number of Moves to Make PalindromeNext Palindrome Using Same DigitsSolution: Next Palindrome Using Same DigitsValid Palindrome II

3.

Fast and Slow Pointers

Go hands-on with fast and slow pointers to detect cycles, middle nodes, and duplicates.

Introduction to Fast and Slow PointersHappy NumberSolution: Happy NumberLinked List CycleSolution: Linked List CycleMiddle of the Linked ListSolution: Middle of the Linked ListCircular Array LoopSolution: Circular Array LoopFind the Duplicate NumberSolution: Find the Duplicate NumberPalindrome Linked ListSolution: Palindrome Linked ListMaximum Twin Sum of a Linked ListSolution: Maximum Twin Sum of a Linked ListSplit a Circular Linked ListSolution: Split a Circular Linked List

4.

Sliding Window

Grasp the fundamentals of efficiently solving subarray and substring problems using the sliding window technique.

Introduction to Sliding WindowRepeated DNA SequencesSolution: Repeated DNA SequencesSliding Window MaximumSolution: Sliding Window MaximumMinimum Window SubsequenceSolution: Minimum Window SubsequenceLongest Repeating Character ReplacementSolution: Longest Repeating Character ReplacementMinimum Window SubstringSolution: Minimum Window SubstringLongest Substring without Repeating CharactersSolution: Longest Substring without Repeating CharactersMinimum Size Subarray SumSolution: Minimum Size Subarray SumMaximum Average Subarray ISolution: Maximum Average Subarray IDiet Plan PerformanceSolution: Diet Plan PerformanceBest Time to Buy and Sell Stock

5.

Merge Intervals

Map out the steps for solving overlapping interval problems in various contexts.

6.

In-Place Manipulation of a Linked List

16 Lessons

Follow efficient in-place linked list manipulation techniques for various node reordering and removal tasks.

7.

Two Heaps

15 Lessons

Build on efficient data structures and algorithms using two heaps for dynamic data processing.

8.

K-way merge

11 Lessons

Step through the key techniques and algorithms for efficiently merging sorted data structures.

9.

Top K Elements

17 Lessons

Unpack the core of identifying top K elements using heaps in various scenarios.

10.

Modified Binary Search

18 Lessons

Break apart various search techniques using modified binary search for different problem scenarios.

11.

Subsets

10 Lessons

Grasp the fundamentals of subsets, permutations, letter combinations, balanced parentheses, and k-sum subsets.

12.

Greedy Techniques

16 Lessons

Dig deeper into the application and optimization of greedy algorithms across various problem scenarios.

13.

Backtracking

17 Lessons

See how it works to solve problems using backtracking, from N-Queens to Sudoku.

14.

Dynamic Programming

32 Lessons

Master dynamic programming concepts, optimize solutions using memoization and tabulation for complex problems.

15.

Cyclic Sort

8 Lessons

Break down cyclic sort for efficient in-place sorting and finding missing, duplicate integers.

16.

Topological Sort

16 Lessons

Discover the logic behind topological sorting to solve dependency-based challenges and tasks.

17.

Matrices

17 Lessons

Examine matrix operations, problem-solving methods, real-world applications, and algorithmic solutions for matrix traversal and transformations.

18.

Stacks

14 Lessons

Grasp the fundamentals of stacks, their operations, and applications in various problems.

19.

Graphs

17 Lessons

Take a closer look at graph theory, algorithms, traversals, and solving various graph-related problems.

20.

Tree Depth-First Search

29 Lessons

See how it works to explore, transform, analyze, and optimize various binary tree operations.

21.

Tree Breadth-First Search

14 Lessons

Build on performing efficient tree traversals with BFS approaches for various problems.

22.

Trie

18 Lessons

Step through efficiently managing strings with trie data structures and practical applications.

23.

Hash Maps

28 Lessons

Discover the logic behind designing hash maps, solving data structure challenges, and optimal algorithms.

24.

Knowing What to Track

22 Lessons

Examine efficient data tracking patterns and solutions for frequency-related problems.

25.

Union Find

22 Lessons

Grasp the fundamentals of the union-find algorithm and its applications in various graph problems.

26.

Custom Data Structures

20 Lessons

Dig into custom data structures for efficient, scalable solutions in complex coding challenges.

27.

Bitwise Manipulation

20 Lessons

Simplify complex topics in bitwise manipulation for efficient problem-solving and optimization.

28.

Challenge Yourself

40 Lessons

Master the steps to tackle diverse coding problems, enhancing problem-solving skills and strategic thinking.

29.

Conclusion

1 Lesson

Learn how to use the course's concepts for continued success in coding interviews.

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