Data Structure Training

An arrangement of data in a computer’s memory or even in a disk storage is called Data Structure. In simple terms, data structure is a way of storing and retrieving data efficiently. Here, in this Data structure course, you will learn the basics of Data Structure programming logic with core language as C / C++.

The students who will enroll for this training course will be introduced to modular and structured programming approach. Data Structure is a house of information, usually in memory that is aimed to improve algorithm efficiency, such as queue, stack, linked list, heap, dictionary, and tree; or to make conceptual unity, like name and address of a person better.

Here, two types of data structures will be available to C/C++ Programmers. One type of data structures are those that are already built into C/C++ programming languages. Such data structures can be arrays, structures and classes. The other type of data structure is a complex one that can only be implemented using built in data types and structures in C/C++ programming languages.

At SSDN Technologies, you will be taught about the core data structures and algorithms that are used in everyday applications. You will be informed about trade offs that are involved with choosing each data structure, along with retrieval, traversal, and updating algorithms.

This data structure course will also cover linked tests, queues, stacks, hash tables and binary trees. The trainees will learn how to organize and store data in a computer. Different algorithms for hashing, searching and sorting will be explained with proper examples and programming. They will also learn about the applications of binary search trees and graphs.

What Will You Learn?

• At the end of this Data Structure Training, a student will be a learned Data Structure professional who would possess knowledge on the following topics-
• Introduction and understanding of the terms used in Data Structures.
• How to find complexity in algorithms.
• Define and how to perform operations on different data structures like linked lists, stacks, arrays, trees, and queues.
• How to perform recursion operation.
• How to execute data operations like searching, hashing and sorting.
• How to use binary trees for deletion, inspection, and searching of elements.
• How to use graphs and multigraphs.