Data Structures And Algorithms: A Complete Guide In C

Structures, Pointers, List, Trees & Graphs

What you'll learn
Understand the structure of a C program, primitive data types, structures, and pointers in C.
Learn how to define, declare, and access structures, implement arrays of structures, and use self-referential structures with pointers.
Gain hands-on experience with malloc, calloc, realloc, and free for efficient memory allocation and matrix multiplication.
Learn to create, traverse, search, insert, and delete nodes in singly, doubly, and circular linked lists with real-world applications.
Understand binary trees, tree traversals (in-order, pre-order, post-order), binary search trees (BST), AVL trees with rotations, and expression trees.
Implement graph representations, traversal techniques (DFS & BFS), topological sorting, and shortest path algorithms like Dijkstra’s and Minimum Spanning Tree.

Requirements
Basic Understanding of C Programming

Description
C programming is the backbone of system programming and algorithm development. This course is designed to help you build a strong foundation in C programming, focusing on structures, pointers, and advanced data structures. By the end of this course, you will be able to implement efficient programs and optimize memory management in C.What You Will Learn: C Programming Essentials & StructuresIntroduction to programming in C and structure of a C programGeneral rules for C programming and primitive data typesDefining, declaring, and accessing structuresArrays of structures and nested structuresPointers & Dynamic Memory AllocationSingle and double pointersSelf-referential structures in CDynamic memory allocation (malloc, calloc, realloc, free)Pointers within structuresLinked Lists & Data StructuresSingle linked list – traversal, insertion, deletion, and searchingCircular and double linked lists with pseudocodeMatrix multiplication using dynamic memory allocationTrees & Graph AlgorithmsBinary trees, binary search trees (BST), and AVL trees with rotationsGraph traversal – BFS, DFS, and topological sortingKruskal’s and Prim’s algorithms for minimum spanning treesDijkstra’s algorithm for shortest pathWhy Enroll?Hands-on coding with dry-run examplesReal-world problem-solving skills Boost your career with in-depth C programming expertiseStart your journey today and master C programming like a pro!

Beginners and Intermediate C Programmers - Anyone who has basic knowledge of C and wants to master structures, pointers, and advanced data structures.,Computer Science & Engineering Students -– Ideal for students looking to strengthen their understanding of data structures for academic purposes or competitive exams.,Aspiring Software Developers – Programmers preparing for job interviews, coding challenges, and technical placements that require a strong foundation in data structures and algorithms.,Competitive Programmers & Interview Candidates – Those aiming to crack coding interviews for top tech companies by learning linked lists, trees, and graph algorithms.