What you'll learn

Skills you'll gain

There are 12 modules in this course

Dive into fundamental data structures, including arrays, linked lists, stacks, queues, and hash tables. Explore advanced topics like trees, heaps, and tries, with insights into binary trees, AVL trees, and graph structures. Each module builds on the last, blending theory with hands-on coding in Python to solidify your understanding. The course emphasizes a step-by-step approach, making complex concepts accessible. Learn not just the "how" but also the "why," with practical applications such as priority queues, hashing, and dynamic programming. Whether it's mastering sorting algorithms or implementing efficient search methods, you'll gain the skills to solve problems efficiently. Designed for aspiring developers, computer science students, and professionals, this course requires basic programming knowledge. It's perfect for anyone ready to enhance their problem-solving abilities and prepare for technical interviews. With beginner-to-intermediate difficulty, you'll be well-equipped to tackle coding challenges confidently.

Big O Notation

Essential Concepts - I

Data Structure - Introduction

Data Structure - Arrays

Data Structures – Linked Lists

Data Structures – Stack and Queue

Data Structures – Hash Tables

Data Structures - Trees

Data Structures – Heaps

Data Structures – Tries

Data Structures – Graphs

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