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Dur:
60
days
Course fee :
4000
/-
The Data Structures and Algorithms with Python course is designed to help students master the backbone of programming efficient data handling and logical problem-solving.
This course provides a complete understanding of how data is organized, stored, and processed using Python. You’ll explore core concepts like arrays, linked lists, stacks, queues, trees, sorting, and searching algorithms in a simple, intuitive way. By combining Python’s simplicity with solid algorithmic thinking, this course enables learners to write cleaner, faster, and more optimized code. Whether you’re preparing for coding interviews or aspiring to build real-world software applications, this course lays a strong technical foundation that enhances your analytical and programming skills for a successful IT career.
This course focuses on developing your ability to solve computational problems using Data Structures and Algorithms (DSA) implemented in Python. It takes a hands-on approach, where each topic is supported with live examples, coding exercises, and projects that bridge theory with practice. You’ll start with the basics of Python programming, understand time and space complexities, and gradually move into advanced structures like graphs, heaps, recursion, and dynamic programming.
The course emphasizes problem-solving strategies, performance optimization, and algorithmic efficiency, which are key to cracking technical interviews and excelling in real-world development. By the end, you’ll not only master DSA concepts but also gain the confidence to apply them effectively in AI, web development, and cloud-based applications. This course is the ideal stepping stone for anyone aiming to become an efficient, job-ready Python developer.
The primary objective of this course is to equip learners with a deep understanding of how algorithms and data structures shape software performance. You will learn to identify which data structure best fits a given problem, analyze algorithm efficiency, and implement practical coding solutions using Python.
The course also focuses on building problem-solving confidence through pattern-based questions and real-world scenarios. Another key goal is to prepare students for technical interviews by covering commonly asked coding challenges from top IT and product-based companies. By the end of the program, you’ll have the knowledge and experience to design efficient algorithms, optimize code, and handle complex data-driven applications skills that are crucial for developers, data analysts, and AI professionals in today’s competitive industry.
No advanced background is required to begin this course just a willingness to learn and think logically. However, to make the most of this program, having a basic understanding of Python programming is highly recommended. Familiarity with concepts like variables, loops, conditionals, and functions will help you grasp topics faster. You should also have a fundamental awareness of how computers process data and a curiosity for solving logical problems.
Even if you are new to programming, the course includes an introductory refresher on Python essentials, ensuring you can catch up quickly. A working laptop with Python installed and an internet connection for practicing online problems will be all you need. Most importantly, bring an analytical mindset and consistency in practice because mastering data structures and algorithms is not about memorizing, but about understanding how to approach and solve problems efficiently. This mindset will make you industry-ready for real-world development challenges.
The Data Structures and Algorithms with Python course is ideal for students, fresh graduates, and aspiring software developers who want to strengthen their programming and analytical abilities. It’s especially beneficial for learners preparing for campus placements, coding interviews, or competitive programming exams.
If you are pursuing a B.Tech, B.Sc, MCA, or any IT-related degree, this course will give you a strong technical edge. Working professionals aiming to transition into roles such as Python Developer, Data Analyst, Web Developer, or AI Engineer will also find this program highly valuable.
Even non-IT graduates or beginners looking to start a career in software development can benefit, as the course starts with core concepts and builds up progressively.
By the end of the training, learners will have not just theoretical knowledge but hands-on coding experience through live projects, real-time problem-solving sessions, and mentor-led practice. With Naresh i Technologies’ industry-expert trainers and practical lab environment, students will gain the confidence to tackle any technical challenge and accelerate their career in software and cloud computing domains.
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