Data structure for fledgling learners
- Development
- Apr 27, 2025

Data structure for fledgling learners, available at Free, has an average rating of 4.25, with 8 lectures, based on 26 reviews, and has 2248 subscribers.
You will learn about In this course student will get to learn basics of data structure in python. Ability to analyze algorithms and algorithm correctness. Ability to summarize searching and sorting techniques Ability to describe stack,queue and linked list operation. 4 Ability to have knowledge of treeand graphs concepts. This course is ideal for individuals who are Students , especially computor & IT engineering. or Anyone who wants to learn basics of data structure It is particularly useful for Students , especially computor & IT engineering. or Anyone who wants to learn basics of data structure.
Enroll now: Data structure for fledgling learners
Summary
Title: Data structure for fledgling learners
Price: Free
Average Rating: 4.25
Number of Lectures: 8
Number of Published Lectures: 8
Number of Curriculum Items: 8
Number of Published Curriculum Objects: 8
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
in computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. data structure are generally based on the ability of a computer to fetch and store data at any place in its memory In this course you are going to learn about basics of data structures like linked list , nodes , heaps , binary tree , selection sort , dictionary , tuples & list . Data structure provides the right way to organize information in the digital space. The data structure is a key component of Computer Science and is largely used in the areas of Artificial Intelligence, operating systems, graphics, etc.
Searching: We can search for any element in a data structure.
Sorting: We can sort the elements of a data structure either in an ascending or descending order.
Insertion: We can also insert the new element in a data structure.
Updation: We can also update the element, i.e., we can replace the element with another element.
Deletion: We can also perform the delete operation to remove the element from the data structure.
Some of the Advantages :
Efficiency: If the choice of a data structure for implementing a particular ADT is proper, it makes the program very efficient in terms of time and space.
Reusability: The data structure provides reusability means that multiple client programs can use the data structure.
Abstraction: The data structure specified by an ADT also provides the level of abstraction. The client cannot see the internal working of the data structure, so it does not have to worry about the implementation part. The client can only see the interface
Course Curriculum
Chapter 1: Data Structure
Lecture 1: Introduction
Lecture 2: overview of object oriented programming
Lecture 3: Binary Tree
Lecture 4: Nodes
Chapter 2: Algorithms
Lecture 1: heaps
Lecture 2: selection sort
Lecture 3: bubble sort
Lecture 4: Linear search
Instructors

Chetan Dhotre
Tutor
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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