Data Structures & Algorithms Details

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 ?

Kalyan IT Hub 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 Kalyan IT Hub 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