Data Structure in Java in Hindi
Learn key concepts like Array, LinkedList, Stack, and Queue via Java Data Structure Course in Hindi
Instructor:
Mr. Faizan ParvezRatings
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About this course
Data structure deals with structuring or organizing data in the computer system so that the data can be used in an effective manner. For example, linearly storing data - Array or Linked Lists, storing data one upon the other - Stack, Hierarchical manner - Trees, and Connecting Nodes - Graph. In this Data Structures in Java course in Hindi, you will learn and understand different data structures in Hindi, principles like Stack and Queue, and understand hierarchical data structures like Binary Tree, Binary Search Tree, and Graphs.
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Course Outline
Hive is a data warehouse used to support interaction between the user and HDFS. This course will give you a demonstration using sample problem statements for your better understanding.
A linked list is a linear type of data structure that comes in handy while solving complex problems. This module gives a brief on the linked list along with discussing its advantages, disadvantages, and applications. You also have a demonstration on a linked list with the help of a code example.
Stack comes under a linear data structure and is known for its FILO/LIFO property. The module focuses on introducing you to stack and goes through its several advantages, disadvantages, and applications. You will also learn about its demonstration using an array with the help of a code example.
A queue is a linear form of data structure and follows the FIFO/LILO property. The module starts by giving you a brief on queue, its advantages, disadvantages, and applications. Lastly, you will have a demonstration of the queue using an array with the help of a code example.
Our course instructor
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Mr. Faizan Parvez
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Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What are data structures in Java?
A data structure is a mechanism for storing data, keeping it structured, and allowing for simple adjustment and access. Simply put, a data structure is a set of data values, their relationships, and the operations or functions that may be performed on them.
Data systems are made up of linked data and processes that can be performed on them. You'll learn about data structures all the time, whether you're new to computer programming or have been doing it for a long time. If you wish to become a decent programmer or simply have a programme that can perform simple operations, you must first understand data structures.
Programmes = Algorithms + data structures.
There is a great deal to learn about data systems. You'll want to understand what they are, why they're important, and which ones are the most important. This knowledge will benefit you if you're concerned about interview questions or just want to lay a strong basis for the rest of your coding education. The bottom line is that if you want to be a good programmer, you must first learn how to program Data Structures. In this course, you will learn, how to program all data structures in Java.
What are the types of data structures?
Depending on the form of data and what you want to do about it, data must be structured in a variety of ways. You must consider the various types of data structures and how they function in order to efficiently manage data and construct a programme. Data structures are often divided into linear and non-linear data structures in a general context. The following are some of the most popular data structures.
Linear Data Structures
- Arrays
- Stacks
- Queues
- Linked Lists
- Hash Tables
Non-Linear data structures
- Trees
- Graphs
- Tries
Which data structure is best for Java?
Don't equate the data structure to the programming language you're using, such as java or Python.
There are several ways for storing data in a data system... that each has advantages and disadvantages, so you must evaluate and consider the time complexity and auxiliary space before making a decision based on the problem.
The fastest is determined by the time complexity.
Any data structure has four operations. Create, read, edit, and erase are all options.
Each data structure can succeed at some operations while failing at others.
O(1) is the quickest in the graph.
Don't equate the data structure to the programming language you're using, such as java or Python.
There are several ways for storing data in a data system... that each has advantages and disadvantages, so you must evaluate and consider the time complexity and auxiliary space before making a decision based on the problem.
The fastest is determined by the time complexity.
Any data structure has four operations. Create, read, edit, and erase are all options.
Each data structure can succeed at some operations while failing at others.
O(1) is the quickest in the graph.