2025 Data Structures Using Python from Udemy

Master Data Structures in Python: Unlock the Power of Efficient Programming.

Welcome to the most comprehensive and highly rated data structures course on Udemy. If you're a student searching for a data structures course that will truly elevate your programming skills, look no further. This course is designed to provide you with the knowledge and expertise you need to excel in the world of data structures and algorithmic problem-solving.

In this course, we leave no stone unturned as we delve deep into the core concepts and practical implementations of essential data structures. From arrays and linked lists to stacks, queues, trees, and graphs, you'll gain a solid foundation in each data structure and learn how to leverage their unique properties for optimal efficiency.

What sets this course apart? It's simple. Our focus is on practicality and real-world applications. We understand that theory alone isn't enough to excel as a programmer. That's why we provide numerous hands-on coding exercises and projects that will put your newfound knowledge to the test. By solving real-world coding challenges, you'll sharpen your problem-solving skills and develop the confidence to tackle complex programming tasks.

Here's what you can expect from this course:

Comprehensive Coverage: We leave no stone unturned as we explore a wide range of data structures, including arrays, linked lists, stacks, queues, trees, and graphs. You'll learn the intricacies of each structure and gain a deep understanding of their strengths and weaknesses.
Hands-On Practice: Theory is important, but practice is crucial. Throughout the course, you'll find an abundance of coding exercises and projects that will help solidify your understanding and hone your programming skills.
Real-World Applications: Data structures are not abstract concepts—they are tools that can solve real-world problems. We provide real-life examples and demonstrate how to apply each data structure to practical scenarios, ensuring that you can bridge the gap between theory and practice.
Expert Guidance: As an experienced instructor with a passion for teaching, I'll guide you through every step of your learning journey. You can count on my support as you progress through the course, ensuring that you have a rich and rewarding learning experience.

By the end of this course, you'll possess a deep understanding of data structures, algorithms, and their practical implementations. Armed with this knowledge, you'll be well-equipped to tackle coding interviews, develop efficient software solutions, and excel in any programming challenge that comes your way.

Don't miss out on the opportunity to become a Master of Data structures in Python. Enroll now, and let's embark on this exciting journey together.

Happy Coding.

What's inside

Learning objectives

Beginner programmers: those who have a basic understanding of python and programming concepts but want to enhance their knowledge of data structures.
Intermediate programmers: individuals who are familiar with python and have some experience with data structures but want to strengthen their understanding
Computer science students: students studying computer science or related fields who need to learn about data structures as part of their curriculum.
Software developers: professionals working in the software development industry who want to improve their understanding of data structures

Self-learners: individuals with a strong interest in programming and data structures who are motivated to learn on their own
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Beginner programmers: those who have a basic understanding of python and programming concepts but want to enhance their knowledge of data structures.
Intermediate programmers: individuals who are familiar with python and have some experience with data structures but want to strengthen their understanding
Computer science students: students studying computer science or related fields who need to learn about data structures as part of their curriculum.
Software developers: professionals working in the software development industry who want to improve their understanding of data structures
Self-learners: individuals with a strong interest in programming and data structures who are motivated to learn on their own
Show more
Show less

Syllabus

BONUS SECTION : Quck Review on Python Basics

Variables

Conditionals & If statement

If statement example

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Starts with a quick review of Python basics, which is helpful for those with limited programming experience to build a solid foundation before diving into data structures

Covers a wide range of data structures, including arrays, linked lists, stacks, queues, trees, and graphs, which aligns with the curriculum of many computer science programs

Includes coding assessments with problem statements on arrays, linked lists, stacks, and binary trees, which allows developers to apply their knowledge and improve problem-solving skills

Teaches stacks using lists, collections-dequeue, queue-Lifo Queue, and linked lists, which may overwhelm learners who are new to programming and data structures

Requires learners to implement data structures, such as stacks and queues, using different methods, which may require additional research and effort for self-learners

Focuses on the practical implementation of data structures, which may not be suitable for learners who are looking for a more theoretical understanding of the subject

Reviews summary

Comprehensive data structures in python

According to learners, this course provides a solid foundation in data structures using Python, making complex topics accessible. Students frequently highlight the clear explanations and the value of hands-on coding exercises for applying concepts. The curriculum covers a wide range of essential data structures, and many find the practical projects particularly beneficial for skill development. While the course is largely well-received, a few reviewers suggest that certain advanced areas could benefit from more in-depth exploration. Some beginners also noted that the pace can become challenging in later sections, implying a need for a comfortable grasp of Python fundamentals beforehand.

Covers a wide array of data structures.

"It covers all the main data structures you need to know."

"A good overview of arrays, linked lists, trees, and graphs."

"Provides a broad understanding of DS concepts."

"The course covers essential data structures comprehensively..."

Hands-on coding reinforces learning effectively.

"The hands-on coding and projects are the strongest part of the course for me."

"Working through the problems really cemented the ideas."

"The exercises are practical and reflect real-world scenarios."

Concepts are explained clearly and simply.

"The instructor does a great job explaining complex topics simply."

"I found the explanations very clear and easy to follow."

"Helped solidify my understanding of fundamental concepts."

Some topics could use more detail.

"Could use more in-depth coverage on complex topics or optimization techniques."

"Felt like some parts, especially graphs, were rushed."

"I wish there were more advanced examples on certain data structures."

Pace can be fast, especially for beginners.

"As a beginner, I sometimes struggled to keep up with the pace."

"The difficulty curve feels steep in later modules."

"Some prerequisite Python knowledge seems assumed."

"The course moves quite fast after the initial Python basics section."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in 2025 Data Structures Using Python with these activities:

Review Python Fundamentals

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Reinforce your understanding of Python syntax, data types, and control flow to prepare for implementing data structures.

Browse courses on Python Basics

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Review Python syntax and data types.
Practice writing basic Python programs.
Complete online Python tutorials.

Review 'Grokking Algorithms'

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Gain a visual and intuitive understanding of algorithms with this beginner-friendly book.

View Grokking Algorithms, Second Edition on Amazon

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Read the chapters relevant to the course syllabus.
Focus on the visual explanations and examples.
Try to implement the algorithms in Python.

Review 'Data Structures and Algorithms in Python'

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Deepen your understanding of data structures and algorithms with a comprehensive textbook.

View Data Structures and Algorithms in Java 6th... on Amazon

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Read the chapters relevant to the course syllabus.
Work through the examples and exercises in the book.
Compare the book's implementations with those covered in the course.

Four other activities

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Show all seven activities

Create a Data Structure Visualization

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Enhance your understanding by creating a visual representation of how a specific data structure works, such as a diagram or animation.

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Select a data structure to visualize.
Choose a visualization method (diagram, animation, etc.).
Create the visualization using appropriate tools.
Explain the visualization in a short presentation.

Implement Data Structures from Scratch

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Solidify your understanding by implementing data structures like linked lists, stacks, queues, and trees without using built-in Python libraries.

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Choose a data structure to implement.
Write the code for the data structure's methods.
Test the implementation thoroughly.

Build a Simple Application Using Data Structures

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Apply your knowledge by building a project that utilizes various data structures, such as a contact management system or a simple game.

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Choose a project idea that utilizes data structures.
Design the application's architecture.
Implement the application using appropriate data structures.
Test and debug the application.

Solve LeetCode Problems on Data Structures

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Challenge yourself by solving data structure-related problems on platforms like LeetCode to improve your problem-solving skills.

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Create a LeetCode account.
Filter problems by data structure topics.
Solve problems and analyze solutions.

Career center

Learners who complete 2025 Data Structures Using Python will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and tests software applications. This course provides a strong understanding of data structures using Python, which are fundamental to efficient software development. Knowledge of arrays, linked lists, stacks, queues, trees, and graphs, as covered in this course, helps the software engineer write optimized code. The hands-on exercises in the course allow one to practice applying these data structures to solve real-world problems, better preparing them for the challenges faced by a software engineer.

See salaries and explore the career path for Software Engineer

Algorithm Developer

Algorithm developers design and implement efficient algorithms for solving computational problems. This course is directly relevant, as it focuses on data structures, which are essential components of algorithms. The course helps build a foundation in data structures. It covers a range of structures and provides opportunities to implement them in Python. An algorithm developer will find the modules on trees and graphs particularly relevant, as these data structures are commonly used in advanced algorithms.

See salaries and explore the career path for Algorithm Developer

Backend Developer

Backend developers focus on the server-side logic and databases that power web applications. This course provides relevant knowledge about data structures, which are crucial for efficient data management and algorithm design on the backend. The course helps build a foundation in data structures. By understanding linked lists, stacks, queues, and trees, backend developers can optimize database interactions and improve application performance. The Python-based approach is beneficial.

See salaries and explore the career path for Backend Developer

Data Scientist

Data scientists analyze large datasets to extract meaningful insights and build predictive models. Understanding data structures is crucial for efficiently managing and manipulating data. This course on data structures using Python equips a data scientist with the necessary skills to work with complex datasets. The course's coverage of arrays, lists, dictionaries, and trees helps the data scientist optimize data storage and retrieval, and the Python-based approach is especially valuable, given Python's prevalence in the field. A data scientist will find the coverage of trees and graphs from this course beneficial.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. This course provides a solid foundation in data structures, which are crucial for managing and processing the large datasets used in machine learning. Understanding arrays, lists, trees, and graphs, as taught in this course, helps the machine learning engineer optimize model performance. The focus on Python in this course makes it particularly relevant, as Python is the primary language. In the field of machine learning, a strong grasp of data structures is indispensable.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data analysts collect, process, and analyze data to identify trends and insights. Understanding data structures is beneficial for efficiently managing and manipulating data. This course helps by building a foundation in data structures using Python, which is a popular language for data analysis. The course's coverage of arrays, lists, dictionaries, and sets helps data analysts optimize data storage and retrieval. A data analyst can benefit from the knowledge of working with data in a practical way.

See salaries and explore the career path for Data Analyst

Full-Stack Developer

Full stack developers work on both the front-end and back-end of web applications. This course helps enhance their understanding of data structures, which are important for designing and optimizing the back-end. The course's coverage of data structures such as linked lists, stacks, queues, and trees helps full stack developers build efficient and scalable applications. By working through the coding exercises in this course, full stack developers can improve their problem-solving skills and ability to write clean, optimized code.

See salaries and explore the career path for Full-Stack Developer

Web Developer

Web developers create and maintain websites and web applications. This course may be useful, as it provides a foundation in data structures, which are useful for optimizing website performance and managing data efficiently. The course's coverage of data structures such as arrays, linked lists, and trees helps web developers build scalable and responsive web applications. The coding exercises in this course provide practical experience in applying these structures to solve common web development problems.

See salaries and explore the career path for Web Developer

Database Administrator

A database administrator is responsible for managing and maintaining databases. Data structures play a crucial role in database design and optimization. This course may be useful for database administrators, as it provides a foundational understanding of data structures such as trees, graphs, and hash tables, which are used extensively in database management systems. The course's Python-based approach provides a practical context for understanding how these structures are implemented and used in real-world applications.

See salaries and explore the career path for Database Administrator

Game Developer

Game developers create video games for various platforms. This course helps game developers improve their understanding of data structures, which are essential for efficient game development. This course may be useful for game developers who want to improve their skills in data management. The course's coverage of trees and graphs helps game developers model game worlds and implement game mechanics efficiently.

See salaries and explore the career path for Game Developer

Embedded Systems Engineer

Embedded systems engineers design and develop software for embedded systems. This course may be useful for embedded systems engineers, as it teaches the fundamentals of data structures. These systems often have limited resources, making efficient data management crucial. Understanding data structures such as linked lists, queues, and stacks, as covered in the course, helps optimize memory usage and improve performance. The course's practical coding exercises provide valuable experience in implementing these structures in resource-constrained environments.

See salaries and explore the career path for Embedded Systems Engineer

Quantitative Analyst

Quantitative analysts develop mathematical and statistical models for financial markets. This course may be useful for quantitative analysts, as a background in data structures is useful for managing and analyzing large datasets. The course's Python-based approach is especially relevant, as Python is commonly used in quantitative finance for tasks. The course helps build a foundation for understanding algorithmic complexity in the context of financial data.

See salaries and explore the career path for Quantitative Analyst

DevOps Engineer

DevOps engineers automate and streamline software development and deployment processes. While this course may not directly relate to DevOps practices, familiarity with data structures is useful for optimizing infrastructure and application performance. The course's coverage of arrays, linked lists, and trees may be helpful for managing data and resources efficiently. The course helps broaden the understanding of programming principles.

See salaries and explore the career path for DevOps Engineer

IT Consultant

IT consultants provide advice to organizations on how to use information technology to meet their business objectives. This course may be useful for IT consultants who need a broader understanding of data structures and algorithms. The course helps build a foundation in data structures. Understanding concepts like linked lists, stacks, queues, and trees can help IT consultants make informed decisions about technology investments. The course helps broaden the consultant's knowledge base.

See salaries and explore the career path for IT Consultant

Technical Project Manager

Technical project managers oversee software development projects. While this course may not be directly essential, it can provide a better understanding of the technical aspects of software development. The course helps build a foundation in data structures. Understanding data structures like arrays, linked lists, and trees helps technical project managers communicate more effectively with their development teams. The course helps foster a greater appreciation for the complexities involved in software engineering.

See salaries and explore the career path for Technical Project Manager

2025 Data Structures Using Python

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Comprehensive data structures in python

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