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Data Structures Programming Language


About Data Structures

In computer science, a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently.

Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. For example, B-trees are particularly well-suited for implementation of databases, while compiler implementations usually use hash tables to look up identifiers.

Data structures provide a means to manage large amounts of data efficiently, such as large databases and internet indexing services. Usually, efficient data structures are a key to designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory.

Before you continue, you should have a basic understanding of the following:

1. Strong Knowledge C and C++ Programming
2. Basic knowledge of Programming Structure
3. Basic knowledge Programming Algorithm )

Benefits of Courses:

1. C and C++ Developer
2. C and C++ Programmer

Projects

1. We will provide real time project training with code explanation and implementation.
2. Our training modules are completely designed according to current IT market.
3. After completion of 75% of course, student will go through Major Project Training, Live Project Training, Interview Preparation and
     Recruitment process in IT Industry.
4. Student will go through the training of HTML, CSS and JavaScript as a complimentary package before starting of SQL Server.
5. We offer regular, fast track and weekend training in SQL Server course.
6. Study material is provided with the course which consist of concepts, examples and real time examples.

SORTING AND SEARCHING TECHNIQUES HASHING TECHNIQUES LINEAR LISTS
1.Bubble 1.Hash function 1.Stacks: LIFO structure, create, POP, PUSH, delete stack
2.Selection 2.Address calculation techniques, Common hashing functions 2.Queues: FIFO structure Priority Queues, Circular Queues, operations on Queues
3.Insertion 3.Collision resolution 3.Linear List Concept
4.Shell sorts 4.Linear probing, Quadratic 4.List v/s Array, Internal pointer & External pointer, head, tail of a list, Null list, length of a list
5.Sequential, 5.Double hashing 5.Linked Lists
6.Binary 6.Bucket hashing 6.Linked Lists algorithms
7.Indexed Sequential Searches 7.Deletion and rehashing 7.Complex Linked List structures
8.Interpolation,   8.Multilinked Lists
9.Binary Search Tree Sort    
10.Heap sort    
11.Radix sort    
   
INTRODUCTION TO TREES HEAPS MULTIWAY TREE
1.Binary Trees 1. Structure 1. M-way search trees
2.Expression Trees 2.Basic algorithms – ReheapUp, ReheapDown, Build heap, Insert, Delete 2.B-Trees
3.General Trees   3.B-Tree Search
4.Search Trees   4.Graphs
5.Binary Search Trees