Data Structures and Algorithms Tutorial
A comprehensive handbook designed to build strong problem-solving skills using data structures and algorithms. This guide covers fundamental data structures, algorithmic techniques, and complexity analysis with clear explanations and practical examples to help learners write efficient and optimized code.
4 Modules
34 Lessons
English
0.5 Hr
Reading Plan
MODULE 1
Basics of DS and Algo
MODULE 2
Basic Algorithms
Introduction to Searching Algorithms1 min
Linear Search Algorithm1 min
Binary Search Algorithm1 min
Jump Search Algorithm1 min
Introduction to Sorting Algorithms1 min
Bubble Sort Algorithm1 min
Insertion Sort Algorithm in DSA1 min
Selection Sort Algorithm in DSA1 min
Quick Sort Algorithm1 min
Merge Sort Algorithm1 min
Heap Sort Algorithm1 min
Counting Sort Algorithm1 min
MODULE 3
Data Structures
What is Stack Data Structure?1 min
What is a Queue Data Structure?1 min
Implement Queue using Stacks1 min
Introduction to Linked Lists1 min
Difference between Array and Linked List1 min
Introduction to Linear Linked List1 min
Introduction to Circular Linked List1 min
Introduction to Double Ended Queue1 min
Implementation of Stack using Queue1 min
Implementation Stack using Linked List1 min
Introduction to Doubly Linked List1 min
Introduction To Binary Trees1 min
Introduction to Binary Search Tree1 min
MODULE 4
Advanced Algorithms
Contributors
Data Structures and Algorithms Tutorial
This handbook introduces the building blocks of efficient programming. You’ll begin with basic data structures like arrays and linked lists, then move on to stacks, queues, trees, and hashing. The handbook also covers common algorithms for searching, sorting, and recursion, along with time and space complexity to help you choose the right approach for real-world problems.
Why This Handbook Matters
Data structures and algorithms form the foundation of efficient software development. Understanding them helps you write faster, more scalable code and is essential for cracking technical interviews and building high-performance applications.
Ideal Learners for This Handbook
This handbook is ideal for beginners learning programming fundamentals, students preparing for coding interviews, and developers who want to improve problem-solving efficiency. It’s especially useful for anyone aiming for roles in software development or competitive programming.
Prerequisites
This course is suitable for:
- Basic understanding of programming concepts
- Familiarity with variables, loops, and conditional statements
- Knowledge of at least one programming language such as C, Java, or Python
- Willingness to practice logical thinking and problem solving










