Description
Course Description:
The Data Structures course provides a comprehensive understanding of the fundamental concepts required to efficiently organize, manage, and store data in computer programs. Students will learn about various data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables, along with their real-world applications. The course emphasizes both theoretical concepts and practical implementations, enabling learners to analyze the efficiency of different data structures in terms of time and space complexity. By the end of the program, participants will be proficient in designing optimized algorithms, solving complex computational problems, and applying data structures effectively in software development, competitive programming, and system design.
Key Features of Course Divine:
- Collaboration with E‑Cell IIT Tirupati
- 1:1 Online Mentorship Platform
- Credit-Based Certification
- Live Classes Led by Industry Experts
- Live, Real-World Projects
- 100% Placement Support
- Potential Interview Training
- Resume-Building Activities
Career Opportunities After Data structure Certified Course:
- Software Developer / Engineer
- Backend Developer
- Data Analyst / Data Engineer
- Competitive Programmer
- System Designer / Architect
- AI / Machine Learning Engineer
- Blockchain Developer
- Research & Development
Essential Skills you will Develop Data structure Certified Course:
- Problem-Solving Skills
- Programming Proficiency
- Algorithmic Thinking
- Complexity Analysis
- Software Development Skills
- Competitive Programming Readines
- Logical and Analytical Thinking
Tools Covered:
- Programming Languages
- IDE & Code Editors
- Version Control
- Debugging
- Visualization
- Competitive Coding Platforms
Syllabus:
Module 1: Introduction to Data Structures Basics of Data Structures Importance and Applications Complexity Analysis (Time and Space).
Module 2: Arrays and Strings One-dimensional and Multi-dimensional Arrays Operations: Insertion, Deletion, Traversal String Handling and Manipulation.
Module 3: Linked Lists Singly Linked List nDoubly Linked List Circular Linked List Operations and Applications.
Module 4: Stacks and Queues Stack Implementation (Array & Linked List) Queue Implementation (Simple, Circular, Priority) Applications in Real-world Problems.
Module 5: Trees Binary Trees and Binary Search Trees Tree Traversals (Inorder, Preorder, Postorder) Balanced Trees (AVL, Red-Black Tree) Applications of Trees.
Module 6: Graphs Graph Representation (Adjacency Matrix & List) Graph Traversal (BFS & DFS) Shortest Path Algorithms (Dijkstra, Floyd-Warshall) Minimum Spanning Tree (Prim & Kruskal).
Module 7: Hashing Hash Functions and Collision Resolution Open Addressing and Chaining Applications of Hashing.
Module 8: Advanced Data Structures Heaps and Priority Queues Tries Disjoint Set (Union-Find).
Module 9: Algorithms & Problem Solving Searching Algorithms (Linear, Binary) Sorting Algorithms (Bubble, Merge, Quick, Heap) Algorithm Optimization Techniques
Module 10: Projects & Applications Real-world Case Studies Implementing Data Structures in Projects Competitive Programming Challenges
Industry Projects:
- Library Management System
- Online Shopping Cart
- Social Network Graph
- Task Scheduler / To-Do App
 Who is this program for?
- Aspiring Software Developers
- Computer Science & IT Students
- Competitive Programmers
- Career Changers
- AI / ML Enthusiasts
- Anyone Interested in Coding & Algorithms
How To Apply:
Mobile: 9100348679
Email: coursedivine@gmail.com
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