Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Build a strong foundation in data structures and algorithms to confidently tackle coding interviews and real-world problem solving. You will learn how to analyze time and space complexity, apply Big O notation, and understand how efficient code impacts performance. Through hands-on practice, you will strengthen your logical thinking and develop a problem-solving mindset essential for technical roles. The course begins with an introduction to coding interview preparation using Leetcode, guiding you on how to approach problems strategically. It then dives deep into time and space complexity, covering both theoretical concepts and practical examples, including recursive cases and live demonstrations to reinforce your understanding. As you progress, you will explore core data structures such as arrays, linked lists, and hash tables, learning their strengths, limitations, and real-world applications. Each section is paired with carefully selected problems, including popular interview questions like Two Sum, Maximum Subarray, and Linked List Cycle, enabling you to apply concepts effectively. This course is ideal for aspiring software engineers, students, and professionals preparing for coding interviews. Basic programming knowledge is recommended, and the course is designed at a beginner to intermediate level for gradual skill development. By the end of the course, you will be able to analyze algorithm efficiency, solve complex coding problems using key data structures, and confidently approach technical interviews with optimized solutions.

Syllabus

Course Introduction

In this module, we will introduce Leetcode, offering insights and strategies to help you get started with your coding interview preparation. By the end of this section, you’ll be equipped with the knowledge to confidently begin solving problems on Leetcode.

Time & Space Complexity Analysis

In this module, we will cover essential concepts of time and space complexity, focusing on Big O notation and how to apply it in coding interviews. You’ll learn through a series of examples, helping you build a strong foundation in algorithm analysis.

Arrays Theory + Leetcode Problems

In this module, we will explore arrays, discussing their advantages, limitations, and practical applications. We’ll dive into a series of Leetcode problems that will give you hands-on experience with arrays and improve your problem-solving skills.

Sorting Problems

In this module, we will solve various sorting-related problems that are commonly asked in coding interviews. You will gain practical experience with sorting algorithms while tackling problems like moving zeros and sorting colors.

Linked Lists

In this module, we will delve into linked lists, exploring both basic and advanced problems. Through solving problems like reversing a linked list and detecting cycles, you’ll strengthen your linked list problem-solving abilities.

Hash Table

In this module, we will introduce hash tables and explore their functionality in solving complex coding challenges. You’ll practice using hash tables to address problems such as detecting duplicates and grouping anagrams effectively.