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Keep shoppingData Structures and Algorithms: A Complete Guide in C
13 students
Data Structures and Algorithms: A Complete Guide in C
Structures, Pointers, List, Trees & Graphs
Created byPriya S
Last updated 2/2025
English
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.
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Course content
4 sections • 32 lectures • 6h 23m total length
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 & Structures
Introduction to programming in C and structure of a C program
General rules for C programming and primitive data types
Defining, declaring, and accessing structures
Arrays of structures and nested structures
Pointers & Dynamic Memory Allocation
Single and double pointers
Self-referential structures in C
Dynamic memory allocation (malloc, calloc, realloc, free)
Pointers within structures
Linked Lists & Data Structures
Single linked list – traversal, insertion, deletion, and searching
Circular and double linked lists with pseudocode
Matrix multiplication using dynamic memory allocation
Trees & Graph Algorithms
Binary trees, binary search trees (BST), and AVL trees with rotations
Graph traversal – BFS, DFS, and topological sorting
Kruskal’s and Prim’s algorithms for minimum spanning trees
Dijkstra’s algorithm for shortest path
Why Enroll?
Hands-on coding with dry-run examples
Real-world problem-solving skills
Boost your career with in-depth C programming expertise
Start your journey today and master C programming like a pro!
Who this course is for:
- 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.