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Data Structure Using Python

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Course Overview

The Data Structure Using Python course offered by JTC provides in-depth training on essential data structures such as lists, stacks, queues, trees, and graphs. The course emphasizes implementation, algorithm analysis, and practical applications to build efficient programs. Students gain hands-on experience through real-world exercises and projects, enhancing their problem-solving skills and technical interview readiness. A certificate is awarded upon course completion, making it suitable for learners at all skill levels.

Why to

Join This Course

Learn essential data structures like lists, stacks, queues, trees, and graphs for solving complex problems.

Master algorithm implementation and analysis to build efficient and optimized Python programs.

Work on hands-on exercises and real-world projects to prepare for technical interviews and job readiness.

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  • Comprehensive training in fundamental data structures, including lists, stacks, queues, trees, and graphs.
  • Emphasis on implementation, algorithm analysis, and efficiency.
  • Hands-on projects to enhance problem-solving skills.
  • Focus on technical interview preparation and practical applications.
  • Certification awarded upon successful course completion.
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Course Curriculum

Basic Introduction

Installation

Python First Program

Important Terminologies

Language

Function

OOPS

Generator And Iterator

Module

Exception Handling

String

List

Tuple

Set

Dictionary

Collection

Introduction of Data Structure

Array

Linked List

Stack

Queue

Tree

Graph

Sorting

Searching

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Get General Answers

FAQ Questions

Data structures are ways to organize and store data for efficient access and modification. They are essential in Python for solving complex problems effectively.
A basic understanding of Python programming, including loops, functions, and conditionals, is recommended before starting this course.
The course covers arrays, linked lists, stacks, queues, trees, graphs, hash tables, and more, with a focus on their implementation in Python.
The course includes hands-on coding exercises, real-world problem-solving scenarios, and projects to build and test data structures.
Yes, the course covers essential algorithms like sorting, searching, and traversal to complement data structure knowledge.
The course duration is approximately 3-4 months, depending on your pace and schedule flexibility.
You will create projects such as implementing a custom library management system, building graph traversal tools, and solving real-world coding challenges.
Yes, the course is designed for beginners, provided they have a basic understanding of Python programming.
Yes, you will receive a certificate of completion upon successfully finishing all modules and projects.
After completing the course, you can explore roles such as Python Developer, Data Analyst, Software Engineer, or Algorithm Developer.
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