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Data Structures & Algorithms

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About Course

About The Course

The constantly evolving industry needs are demanding more skilled developers who are good in writing effective programs with best algorithms and good in problems solving. This is where Data Structures with Algorithms comes into the play.

What is a Data Structure?

A data structure is a named location that can be used to store and organize data. In simple terms "A data structure is a particular way of organizing data in a computer so that it can be used effectively".

Basic types of Data Structures : Integer, Float, Boolean, Char etc., all are known as Primitive Data Structures.

We also have some complex Data Structures, which are used to store large and connected data. Some example of Abstract Data Structure are

  • Linked List
  • Tree
  • Graph
  • Stack
  • Queue etc.

What is an Algorithm?

An algorithm is a collection of steps to solve a particular problem.

An algorithm is a finite set of instructions or logic, written in order, to accomplish a certain predefined task. Algorithm is not the complete code or program, it is just the core logic (solution) of a problem, which can be expressed either as an informal high level description as pseudo code or using a flowchart.

Every Algorithm must satisfy the following properties:

  • Input- There should be 0 or more inputs supplied externally to the algorithm
  • Output- There should be at least 1 output obtained
  • Definiteness- Every step of the algorithm should be clear and well defined
  • Finiteness- The algorithm should have finite number of steps
  • Correctness- Every step of the algorithm must generate a correct output

An algorithm is said to be efficient and fast, if it takes less time to execute and consumes less memory space. The performance of an algorithm is measured on the basis of following properties:

Space Complexity:Its the amount of memory space required by the algorithm, during the course of its execution. Space complexity must be taken seriously for multi-user systems and in situations where limited memory is available.

Time Complexity:Time Complexity is a way to represent the amount of time required by the program to run till its completion. It's generally a good practice to try to keep the time required minimum, so that our algorithm completes its execution in the minimum time possible.

Why to Choose Us ?

Ashok IT is one of the most preferred institutes for Data Structures & Algorithms Training Course.

This advanced expert driven training program of Data Structures with Algorithms will make the students towards mastering their skills in Data Structures, Algorithms, Problems Solving, Coding Challenges and core concepts as well.

Enrolling for our Ashok IT Data Structures with Algorithms Training will make the students work towards building complete real-time knowledge of handling all the complex challenges of this platform. This is the perfect opportunity to become Software Engineer in top notch MNC Company.

Pre-Requisites for Data Structures & Algorithms Training

There are no particular pre-requisites to join for our advanced program Data Structures & Algorithms. If you know any one programming language like C, C++ , Java, Python then you can attend this Data Structures & Algorithms training program.

Chapter-1 : Data Structures Introductions

Chapter-2 : Pattern Printing

Chapter-3 : Online Coding Platforms

Chapter-4 : Arrays

Chapter-5 : Matrix

Chapter-6 : Mathematic Programs

Chapter-7 : Time Complexity

Chapter-8 : Space Complexity

Chapter-9 : Bit Manipulations

Chapter-10 : Recursion

Chapter-11 : Sorting

Chapter-12 : Searhcing

Chapter-13 : Linked List

Chapter-14 : Trees

Chapter-15 : Dynamic Programming

Chapter-16 : Graphs

The constantly evolving industry needs are demanding more skilled developers who are good in writing effective programs with best algorithms and good in problems solving. This is where Data Structures with Algorithms comes into the play.

What is a Data Structure?

A data structure is a named location that can be used to store and organize data. In simple terms "A data structure is a particular way of organizing data in a computer so that it can be used effectively".

Basic types of Data Structures : Integer, Float, Boolean, Char etc., all are known as Primitive Data Structures.

We also have some complex Data Structures, which are used to store large and connected data. Some example of Abstract Data Structure are

  • Linked List
  • Tree
  • Graph
  • Stack
  • Queue etc.

What is an Algorithm?

An algorithm is a collection of steps to solve a particular problem.

An algorithm is a finite set of instructions or logic, written in order, to accomplish a certain predefined task. Algorithm is not the complete code or program, it is just the core logic (solution) of a problem, which can be expressed either as an informal high level description as pseudo code or using a flowchart.

Every Algorithm must satisfy the following properties:

  • Input- There should be 0 or more inputs supplied externally to the algorithm
  • Output- There should be at least 1 output obtained
  • Definiteness- Every step of the algorithm should be clear and well defined
  • Finiteness- The algorithm should have finite number of steps
  • Correctness- Every step of the algorithm must generate a correct output

An algorithm is said to be efficient and fast, if it takes less time to execute and consumes less memory space. The performance of an algorithm is measured on the basis of following properties:

Space Complexity:Its the amount of memory space required by the algorithm, during the course of its execution. Space complexity must be taken seriously for multi-user systems and in situations where limited memory is available.

Time Complexity:Time Complexity is a way to represent the amount of time required by the program to run till its completion. It's generally a good practice to try to keep the time required minimum, so that our algorithm completes its execution in the minimum time possible.

Why to Choose Us ?

Ashok IT is one of the most preferred institutes for Data Structures & Algorithms Training Course.

This advanced expert driven training program of Data Structures with Algorithms will make the students towards mastering their skills in Data Structures, Algorithms, Problems Solving, Coding Challenges and core concepts as well.

Enrolling for our Ashok IT Data Structures with Algorithms Training will make the students work towards building complete real-time knowledge of handling all the complex challenges of this platform. This is the perfect opportunity to become Software Engineer in top notch MNC Company.

Training Features

learn from home
Learn from home

Stay safe indoors.

beginner friendly
Beginner friendly

No prior knowledge required

doubt clearing
Doubt clearing

Through Q&A forum

projects
Build a projects

For hands-on practice.

downloadable content
Downloadable content

With lifetime access

beginner friendly1
Course Completion Certificate

from Ashok IT

Our Online Bootcamp

An immersive learning experience

Develop skills for real career growth

Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills

Learn from experts active in their field, not out-of-touch trainers

Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.

Learn by working on real-world problems

Capstone projects involving real world data sets with virtual labs for hands-on learning

Structured guidance ensuring learning never stops

24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Frequently asked questions

How can I practice?
Students can benefit from our State of the art lab infrastructure facilities at all our training centers across the city. Our lab facilities are available through the day on all working days. For our online students, they can connect to our servers and other lab facilities over the internet and practice. These facilities are available 24X7

If the student misses out of attending any session, he or she can re-attend the session by:
1. Attending the same session in another batch if student is attending classroom based session.
2. For online sessions, recording of the classes can be accessed by the student at all time to help revisit and listen the sessions missed out

All training programs conducted by Quality Thought are available in 3 modes, instructor based classroom programs, instructor based live online training and self-paced video based training. Students can choose