Unit
Data Structure and Algorithm I
Array
Searching
Sorting
Two Pointers
Sliding Window
Prefix Sum
Kadane Algorithm
Binary Search
Duration
4 weeks
Introduction
Welcome to Data Structures and Algorithms I, where we explore the fundamental building blocks of efficient problem-solving! This unit focuses on arrays and essential algorithms like searching, sorting, two pointers, sliding window, prefix sums, binary search, and Kadane's algorithm, equipping you with the skills to optimize solutions for real-world challenges. Through structured theory and curated LeetCode problems, you'll learn to transform brute-force approaches into optimized strategies, preparing you for technical interviews and competitive programming. Let's dive in and turn complexity into clarity—one algorithm at a time! 🚀
Prerequisites
- We require you to have basic coding skills in a programming language. Please refer to the Basic Coding for Beginners Unit.
Skills Covered
In this unit, we are going to cover the following topics.
- Basic concept of the Array data structure.
- Searching & Sorting: Linear Search, Binary Search, Insertion Sort, Bucket Sort, Merge Sort, and Quick Sort.
- Patterns & Algorithm: Two Pointers, Sliding Window, Prefix Sums, and Kadane's Algorithm.
Recommended Study Material
Learn the basics of Array Data Structure.
Array
Data Struture
Duration:
30 minutes
Learn about Insertion Sort and its implementation.
Array
Sorting
Insertion Sort
Duration:
30 minutes
Learn about Merge Sort and its implementation.
Array
Sorting
Merge Sort
Duration:
1 hour
Learn about Quick Sort and its implementation.
Array
Sorting
Quick Sort
Duration:
1 hour
Learn about Prefix Sum pattern.
Array
Prefix Sum
Duration:
15 minutes
Learn about Sliding Window pattern.
Array
Sliding Window
Duration:
15 minutes
Learn about Two Pointers pattern.
Array
Two Pointers
Duration:
15 minutes
Learn about Kadane Algorithm and its usecase.
Array
Kadane's Algorithm
Duration:
15 minutes
Learn about Binary Search and its implementation.
Array
Binary Search
Duration:
20 minutes
Practice Problems
Credit
The problem set is carefully curated from Neetcode and AlgoMaster, supplemented with additional practice questions for comprehensive coverage.
Contributor(s)
John Doe
Founder and Fullstack Developer at freeCodeProject.org
Created this Unit with curated list of questions for practice.