DATA STRUCTURE

About Data Structure

A data structure is a way of organizing and storing data in a computer so that it can be accessed and modified efficiently. Different types of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. Some common data structures include:

1. 1. Arrays:  An array is a sequence of elements of the same type, such as integers or characters. Elements are accessed using an index, and the size of an array is fixed when it is created.


2. 2. Linked lists:  A linked list is a collection of nodes that are connected to each other in a linear fashion. Each node contains a value and a reference to the next node in the list. Linked lists are useful for inserting and deleting elements from the middle of a list, but they are not as efficient as arrays for accessing elements by their index.


3. 3. Stacks:  A stack is a data structure that follows the last-in, first-out (LIFO) principle. Elements are added to the top of the stack and removed from the top, so the element that was added most recently is the first one to be removed.


4. 4. Queues:  A queue is a data structure that follows the first-in, first-out (FIFO) principle. Elements are added to the end of the queue and removed from the front, so the element that was added first is the first one to be removed.


5. 5. Trees:  A tree is a data structure that consists of nodes arranged in a hierarchical fashion. Each node can have zero or more child nodes, and the nodes at the top of the tree are called the root node. Trees are often used to represent hierarchical relationships, such as those found in file systems.


6. 6. Graphs:  A graph is a data structure that consists of a set of vertices (also called nodes) and a set of edges that connect the vertices. Graphs are often used to represent networks, such as social networks or transportation networks.

Data structures are an important aspect of computer science and are used in a wide range of applications, from operating systems and database systems to computer graphics and machine learning algorithms.

Applications of Data Structure

Data structures are an important tool for organizing and storing data in a way that allows it to be accessed and modified efficiently. Some common applications of data structures include:

1. 1. Operating systems:  Data structures are used in the design of operating systems to manage resources like memory and processor time, and to organize data in a way that allows it to be accessed quickly.


2. 2. Database systems:  Data structures are used to organize and store data in database systems, and to support efficient querying and manipulation of the data.


3. 3. Compilers:  Data structures are used in the design of compilers to parse and analyze the source code of a program and to generate machine code that can be executed by a computer.


4. 4. Computer graphics:  Data structures are used in computer graphics to store and manipulate data related to 3D models, textures, and other graphics elements.


5. 5. Machine learning:  Data structures are used to organize and store data used in machine learning algorithms, and to support efficient training and evaluation of models.


6. 6. Data analysis:  Data structures are used to organize and store data for analysis, and to support efficient querying and manipulation of the data.

These are just a few examples of the many applications of data structures. Data structures are an important aspect of computer science and are used in a wide range of applications.

Key Features of Data Structure

Here are some key features of data structures:

1. 1. Organization:  Data structures provide a way to organize data in a specific way, such as in a linear sequence or a hierarchical tree structure.


2. 2. Accessibility:  Data structures provide mechanisms for accessing and retrieving data, such as using an index or a key.


3. 3. Modification:  Data structures provide mechanisms for adding, deleting, and modifying data, such as inserting an element into a list or deleting a node from a tree.


4. 4. Efficiency:  Data structures are designed to support efficient access, insertion, and deletion of data, and to use memory and other resources efficiently.


5. 5. Abstractions:  Data structures often provide abstractions that hide the details of their implementation, allowing programmers to use them without needing to understand how they are implemented.


6. 6. Specialization:  Data structures are often specialized to support specific types of operations or to work well with certain kinds of data.


7. 7. Flexibility:  Data structures can be used in a variety of contexts and can be combined with other data structures to solve more complex problems.

Career After Learn Data Structure

Learning data structures is an important step for anyone interested in a career in computer science or a related field. Some possible careers that might be available to someone with strong data structure skills include:

1. 1. Software developer:  Data structures are an essential part of computer science and are used in the development of many different types of software.


2. 2. Database administrator:  Data structures are used to organize and store data in database systems, and a database administrator is responsible for designing and maintaining the data structures used in a database.


3. 3. Data scientist:  Data structures are an important tool for organizing and analyzing large sets of data, and a data scientist might use data structures to build machine learning models or perform other data analysis tasks.


4. 4. Computer hardware engineer:  Data structures are often used in the design of computer hardware, and a computer hardware engineer might use data structures to optimize the performance of a system or to implement specific features.


5. 5. Technical project manager:  A technical project manager might be responsible for managing projects that involve the use of data structures, such as the development of software applications or the design of computer systems.

In addition to these careers, there are many other job roles that might involve the use of data structures. Knowing how to use data structures effectively can be a valuable skill in a wide range of technical fields.

  Get Certified

Earn your Data Structure certificate

Our Data Structure is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate Yourself with a Master's Certificate

The knowledge and Data Structure skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share Your Achievement

Talk about your Data Structure certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Course Syllabus

• Syllabus
• Duration
• Download Syllabus
• Apply Now

• •   UNIT I – STACKS AND QUEUES
  • STORAGE STRUCTURES FOR ARRAYS
  • SPARSE MATRICES
  • STACKS AND QUEUES
  • REPRESENTATIONS AND APPLICATIONS. RECURSION
  • TOWER OF HANOI
  • DOUBLE ENDED QUEUE
  • PRIORITY QUEUE
  • INFIX TO POSTFIX
  • POSTFIX TO INFIX
  • EXPRESSION EVALUATION.
• •   UNIT II – LINKED LISTS
  • LINKED LISTS
  • LINKED STACKS AND QUEUES
  • OPERATIONS ON POLYNOMIALS
  • DOUBLY LINKED LISTS
  • CIRCULARLY LINKED LISTS
  • DYNAMIC STORAGE MANAGEMENT
  • GARBAGE COLLECTION AND COMPACTION.
• •   UNIT III – TREES
  • BINARY TREES
  • BINARY SEARCH TREES
  • TREE TRAVERSAL
  • EXPRESSION MANIPULATION
  • SYMBOL TABLE CONSTRUCTION
  • HEIGHT BALANCED TREES
  • MINIMUM SPANNING TREES
  • B-TREES
  • B+ TREES
• •   UNIT IV – GRAPHS
  • GRAPHS
  • REPRESENTATION OF GRAPHS
  • BFS
  • DFS
  • TOPOLOGICAL SORT
  • SHORTEST PATH PROBLEMS
  • STRING REPRESENTATION AND MANIPULATIONS
  • PATTERN MATCHING
  • APPLICATIONS.
• •   UNIT V – SORTING AND SEARCHING
  • SORTING TECHNIQUES
  • SELECTION
  • BUBBLE
  • INSERTION
  • MERGE
  • HEAP
  • QUICK
  • RADIX SORT AND ADDRESS CALCULATION
  • LINEAR SEARCH
  • BINARY SEARCH
  • HASH TABLE METHODS.

TYPE	DURATION	HOURS	TRAINING MODE
Regular Track	45-60 Days	2 Hours a Day	Live Classroom
Weekend Track	8 Weekends	3 Hours a Day	Live Classroom
Fast Track	7 Days	6+ Hours a Day	Live Classroom

Download Now

        

Apply This Course

Full Name

Phone

Course Name

Student Reviews

Ridhu

25/01/2023 11:12:50pm

This is the best institute for IT certification course. I have already completed my Python Full Stack course. Also Edu tech boom's Placement Assistance is very good. You can easily get placement in a reputed companies after complete your course from here.

Kanchan

11/12/2022 10:03:21am

Hi.. everyone got to know about the Edu Tech Boom doing my adobe animation course faculties are very adorable and helpful. I am satisfied with their service

manish

26/11/2022 11:14:23am

I am a student of python in Edu Tech Boom, It is a good place for learning and improving tech skills . and our trainer anil sir guides us at every level.

Write Reviews