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Certificate Course in Data Structure

Certificate Course in Data Structure is designed to equip individuals with a comprehensive understanding of data structures and algorithms, fundamental building blocks in computer science and software development.


Duration -  45 Hrs          |

Fee -   5500

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Course Description


This course provides a strong foundation in data structures and algorithms, which are essential for writing efficient and effective software applications. The course equips participants with the skills needed to solve complex problems and optimize algorithms for various applications. Data structures are essential for efficiently organizing and manipulating data, and proficiency in this area is crucial for programming, software engineering, and computer science careers.


Prerequisites: Basic programming knowledge, preferably in a language like C++, Java, or Python, is recommended. Familiarity with fundamental computer science concepts is advantageous.


Introduction to Data Structures:

An overview of data structures and their significance in computer science and software development.

The role of data structures in efficient data organization and retrieval.

Array and Linked List:

In-depth coverage of arrays and linked lists as fundamental data structures.

Understanding their implementation, traversal, and operations.

Stacks and Queues:

Comprehensive exploration of stacks and queues as linear data structures.

Their applications in managing data and algorithms.

Trees and Binary Trees:

Introduction to trees and binary trees as hierarchical data structures.

Understanding tree traversal, searching, and balancing.

Graphs and Graph Algorithms:

The concept of graphs as non-linear data structures.

Learning graph algorithms, such as breadth-first search (BFS) and depth-first search (DFS).

Sorting and Searching Algorithms:

In-depth study of sorting algorithms like quicksort, mergesort, and selection sort.

Introduction to searching algorithms, including binary search and linear search.

Hashing and Hash Tables:

Understanding hashing and hash table data structures.

Exploring collision resolution techniques and applications.

Complexity Analysis:

Analysing time and space complexity of data structures and algorithms.

Big O notation and its significance in algorithm performance.

Dynamic Programming:

Introduction to dynamic programming as a problem-solving technique.

Applying dynamic programming to optimize algorithms.

Advanced Data Structures:

Exploring advanced data structures like heaps, graphs, and self-balancing trees.

Their applications in real-world scenarios.

Real-World Applications:

Hands-on projects and practical assignments simulating real-world data structure applications.

Solving problems using the knowledge gained in the course.

Certification: Upon successful completion of the course, participants will receive a certificate showcasing their proficiency in data structures.

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Testimonial

Designers and drafters use it to create two-dimensional (2D) and three-dimensional (3D) computer drawings.
- Vinay Rane



Designers and drafters use it to create two-dimensional (2D) and three-dimensional (3D) computer drawings.
- Sandeep Singh



Designers and drafters use it to create two-dimensional (2D) and three-dimensional (3D) computer drawings.
- Sonal Singh


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