Coding Patterns Masterclass: Learn To Ace Coding Interviews

Start acing coding interviews today. Master coding patterns and start solving problems faster with proven techniques!

What you'll learn

Learn about the top 15 coding patterns for coding interviews

Start developing pattern-based thinking which will allow you to solve a wide-variety of coding questions without focusing on memorization

Develop a better understanding of dynamic programming and recursion

Learn how to identify these patterns in real coding problems

Requirements

Some programming experience required. You should have a basic understanding of data structures and algorithms.

Preferably some experience with software engineering interviews.

Description

Unlocking the doors to a lucrative software engineering job comes down to conquering the notorious coding interview. If you've felt the struggle of prepping for these interviews, know that you're not alone. The usual strategy involves grinding through countless Leetcode problems—a stressful and time-consuming approach that can chip away at your days for weeks. But it doesn't have to be this way. Welcome to the Coding Pattern Masterclass – a game-changing course that unveils the top 15 coding patterns crucial for mastering any problem like a pro. Get access to over 1 hour of succinct video lectures, in-depth concept summaries, and a dynamic student discussion forum. This is an introductory course that aims to explain all of these coding patterns to you. You'll learn how these patterns are implemented, and how these patterns can change how you prep for coding interviews forever.Coding patterns you'll learn in this course:In-Place Linked List ReversalModified Binary SearchTwo PointersSliding WindowTop K ElementsTwo HeapsMonotonic StackBreadth-First Search (BFS) on Trees/GraphsDepth-First Search (DFS) on Trees/GraphsTriesTopological SortingUnion FindDynamic ProgrammingMerge IntervalsBacktrackingBy completing this course you will have the base knowledge needed to start spotting these patterns in common coding problems and becoming familiar enough to implement them. I'm confident that the knowledge in this course will be a game-changer for any software engineer who has never used these patterns before. I'd like to thank you for taking the time to check out my course. I know that you're going to get value from it, and I can't wait to share the knowledge that has helped me during my coding interviews. I hope to see you in the course.

Overview

Section 1: Coding Patterns Intro

Lecture 1 Introduction

Section 2: Coding Pattern: In-Place Linked List Reversal

Lecture 2 In-Place Linked List Reversal Pattern Explained

Lecture 3 In-Place Linked List Reversal Pattern Summary

Section 3: Coding Pattern: Modified Binary Search

Lecture 4 Modified Binary Search Pattern Explained

Lecture 5 Modified Binary Search Pattern Summary

Section 4: Coding Pattern: Two Pointers

Lecture 6 Two Pointers Pattern Explained

Lecture 7 Two Pointers Pattern Summary

Section 5: Coding Pattern: Sliding Window

Lecture 8 Sliding Window Pattern Explained

Lecture 9 Sliding Window Pattern Summary

Section 6: Coding Patterns: Priority Queue

Lecture 10 Top K Elements Pattern Explained

Lecture 11 Top K Elements Pattern Summary

Lecture 12 Two Heaps Pattern Explained

Lecture 13 Two Heaps Pattern Summary

Section 7: Coding Pattern: Monotonic Stack

Lecture 14 Monotonic Stack Pattern Explained

Lecture 15 Monotonic Stack Pattern Summary

Section 8: Coding Patterns: Trees

Lecture 16 Tree Traversal Explained

Lecture 17 Breadth-First Search Pattern Explained

Lecture 18 Breadth-First Search Pattern Summary

Lecture 19 Depth-First Search Pattern Explained

Lecture 20 Depth-First Search Pattern Summary

Lecture 21 Trie Pattern Explained

Section 9: Coding Patterns: Graphs

Lecture 22 Graph Breadth-First Search Explained

Lecture 23 Graph Depth-First Search Explained

Lecture 24 Topological Sorting Pattern Explained

Lecture 25 Topological Sorting Pattern Summary

Lecture 26 Union Find Pattern Explained

Lecture 27 Union Find Pattern Summary

Section 10: Coding Pattern: Dynamic Programming

Lecture 28 What is Dynamic Programming?

Lecture 29 Top Down vs. Bottom Up

Lecture 30 Recursion Explained

Section 11: Coding Pattern: Merge Interval

Lecture 31 Merge Interval Pattern Explained

Lecture 32 Merge Interval Pattern Summary

Section 12: Coding Pattern: Backtracking

Lecture 33 Backtracking Pattern Explained

Lecture 34 Backtracking Pattern Summary

Lecture 35 Coding Patterns Review

Section 13: Bonus Section

Lecture 36 Bonus Lecture - Interested In Learning More?

Computer science students and entry-level software engineers.,Software engineers who wants to improve their problem solving ability in coding interviews.