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Scott Barrett

Welcome to Data Structures & Algorithms in Java This course makes learning to code fun and makes hard concepts easy to understand. How did I do this?  By using animations. Animating the Data Structures & Algorithms makes everything more visually engaging and allows students to learn more material - in less time - with higher retention (a pretty good combination).I will use these visuals to guide you, step-by-step, through the entire course.The course also includes dozens-and-dozens of Coding Exercises. So you can immediately put everything into practice as soon as you learn it (a very important step).All of this will help you to feel more confident and prepared when you walk into a coding interview.I have made several Free Sample Videos available for the course so you can see the difference the animations make.Also, I am very active on the Q&A, so I will be with you every_step_of _the_way.

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Welcome to Data Structures & Algorithms in Java This course makes learning to code fun and makes hard concepts easy to understand. How did I do this?  By using animations. Animating the Data Structures & Algorithms makes everything more visually engaging and allows students to learn more material - in less time - with higher retention (a pretty good combination).I will use these visuals to guide you, step-by-step, through the entire course.The course also includes dozens-and-dozens of Coding Exercises. So you can immediately put everything into practice as soon as you learn it (a very important step).All of this will help you to feel more confident and prepared when you walk into a coding interview.I have made several Free Sample Videos available for the course so you can see the difference the animations make.Also, I am very active on the Q&A, so I will be with you every_step_of _the_way.

What you will get in this course…

Over 100 hand-crafted animated HD videos to illustrate the Data Structures & Algorithms.

Here are the topics we will cover:

Technical

  • Big O notation

Data Structures

  • Arrays

  • Array Lists

  • Linked Lists

  • Doubly Linked Lists

  • Stacks & Queues

  • Binary Trees

  • Hash Tables

  • Heaps

  • Graphs

Algorithms

Sorting

  • Bubble Sort

  • Selection Sort

  • Insertion Sort

  • Merge Sort

  • Quick Sort

Searching

  • Breadth First Search

  • Depth First Search

Don't just take my word for it though, check out what existing students have to say about my courses:

  • 5-Star Review:"In order to describe this course accurately, we need the definition of the word Beautiful. beau·ti·ful: adjective 1.- pleasing the senses or mind aesthetically. 2.- of a very high standard; excellent."  - Josue Hernandez Amezcua

  • 5-Star Review:"The best course on DSA on Udemy" - Enlai Li

  • 5-Star Review:"One of the best courses on DSA. The animations do make a huge impact. All the points are explained in detail. The only problem is that I can't give it more than a 5-star rating." - Nikita Sarkar

  • 5-Star Review:"Amazing Course. My words cannot describe how much animations helped me to understand the concepts. 100% Recommended." - Simarjeet Singh

  • 5-Star Review:Being a visual learner this is BY FAR the BEST course ever. The way the instructor presents this topic makes it so easy to understand." - Eduardo SN

  • 5-Star Review:"The animations were really helpful for an easy understanding, but the best thing about this course for me is that it will not waste your time. It is perfectly optimized, covers the important topics that I wanted, and at the same time perfectly clear. Thank you so much." - Fatemeh Moghaddam

  • 5-Star Review:"This course is very well done. ... the animations in each video take the explanation and understanding of the material to a new level." - Luis Felipe Posada

  • 5-Star Review:"This course has seriously been amazing. The animations have worked wonders for my understanding and I have made significant progress from the beginning of the course until now." - Dakota Fabro

  • 5-Star Review:"I can follow as a beginner, amazing." - Sabrina Fung

  • 5-Star Review:"This is the best course I have ever seen" - Luong Viet Tri

REMEMBER… I'm so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days. So it's a complete no-brainer, sign up today with ZERO risk and So what are you waiting for? Click the "Buy now" button and join the best Java Data Structures & Algorithms course on Udemy.I look forward to seeing you in the course. Now let's get started. :-)

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What's inside

Learning objectives

  • <> 100 coding exercises with detailed explanations
  • Learn dsa faster with animated examples
  • Mastery of data structures and algorithms
  • Confidently answer technical interview questions
  • Time and space complexity of data structures and algorithms
  • Strengthen your skills as a developer

Syllabus

Introduction

How to get the most out of this course

Code Editor
Big O
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Offers over 100 coding exercises with detailed explanations, making learning practical and effective
Utilizes animations to enhance the learning process, making complex concepts easier to grasp
Provides a thorough understanding of data structures and algorithms, including their time and space complexity
Prepares learners for technical interview questions, building confidence in their problem-solving abilities
Strengthens skills as a developer, making learners more competitive in the job market

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Reviews summary

Animated & clear java dsa mastery

According to learners, this course is an exceptionally well-done resource for Data Structures and Algorithms in Java, largely attributed to its innovative use of animations that make complex concepts easy to grasp. Students consistently highlight the course as the 'best course on DSA' they've encountered, praising its clear explanations and efficient delivery that doesn't waste time. It's noted for enabling significant learning progress, making it accessible even for beginners despite its depth.
Suitable for those new to Data Structures and Algorithms.
"I can follow as a beginner, amazing."
"Even as someone relatively new to DSA, I found the concepts very approachable and easy to follow."
"The course is great for building a strong foundation, even if you're starting from scratch."
Optimized content, clear and to the point.
"...it will not waste your time. It is perfectly optimized, covers the important topics that I wanted..."
"I found the course incredibly efficient, covering key concepts without unnecessary fluff."
"The content is concise and focused, which allowed me to learn a lot in a short amount of time."
Considered a top-tier DSA course delivering significant progress.
"The best course on DSA on Udemy."
"One of the best courses on DSA... The only problem is that I can't give it more than a 5-star rating."
"This course is very well done. ... takes the explanation and understanding of the material to a new level."
"I have made significant progress from the beginning of the course until now."
Simplifies hard concepts for better comprehension.
"The way the instructor presents this topic makes it so easy to understand."
"The animations were really helpful for an easy understanding... at the same time perfectly clear."
"This course has seriously been amazing. The animations have worked wonders for my understanding..."
"I finally grasped complex data structures; the explanations were incredibly clear and concise for me."
Animations make abstract DSA concepts highly clear.
"The animations do make a huge impact. All the points are explained in detail."
"My words cannot describe how much animations helped me to understand the concepts. 100% Recommended."
"Being a visual learner this is BY FAR the BEST course ever. The way the instructor presents this topic makes it so easy to understand."
"The animations in each video take the explanation and understanding of the material to a new level."

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 Java Data Structures & Algorithms + LEETCODE Exercises with these activities:
Review Big O Notation
Refresher on Big O Notation strengthens foundational understanding for analyzing algorithm efficiency.
Browse courses on Big O Notation
Show steps
  • Review definitions and properties of Big O Notation
  • Practice identifying time complexities using Big O Notation
Connect with Experienced Engineers or DSA Experts
Connecting with mentors provides guidance, support, and insights from professionals in the field.
Browse courses on Data Structures
Show steps
  • Identify potential mentors through industry events, online platforms, or personal connections
  • Reach out to mentors and request their guidance
  • Prepare questions and engage in discussions with your mentors
Compile a Glossary of DSA Terminology
Creating a glossary enhances understanding and retention of key terms.
Browse courses on Data Structures
Show steps
  • Identify key DSA terms covered in the course
  • Define and provide examples for each term
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend DSA Problem Solving Study Groups
Study groups foster peer learning, collaboration, and problem-solving skills.
Browse courses on Data Structures
Show steps
  • Find or form a study group with peers
  • Identify problems to work on collaboratively
  • Discuss solutions, share ideas, and learn from each other
Practice DSA Coding Exercises
Solving DSA coding exercises enhances understanding and retention.
Show steps
  • Identify problem patterns and Data Structures & Algorithms
  • Write pseudocode and then code the solution
  • Debug and test the code for correctness
Follow Tutorials on Specific DSA Topics
Tutorials provide structured guidance on specific concepts, enhancing understanding.
Browse courses on Data Structures
Show steps
  • Identify topics needing reinforcement
  • Search for reputable tutorials on those concepts
  • Follow the tutorials step-by-step, take notes, and ask questions
Write a Blog Post or Article Explaining a DSA Concept
Explaining concepts in writing enhances understanding and solidifies knowledge.
Browse courses on Data Structures
Show steps
  • Choose a DSA concept to explain
  • Research and gather information on the concept
  • Write a well-structured blog post or article explaining the concept clearly
  • Publish and share the blog post or article
Implement a Data Structure and Algorithm in a Programming Language
Practical implementation solidifies understanding of DSA principles and programming skills.
Browse courses on Data Structures
Show steps
  • Choose a data structure and algorithm to implement
  • Research and understand the chosen data structure and algorithm
  • Code the implementation in a programming language
  • Test and debug the implementation
Participate in DSA Hackathons or Workshops
Hackathons and workshops provide hands-on experience and exposure to real-world challenges.
Browse courses on Data Structures
Show steps
  • Find DSA hackathons or workshops in your area
  • Prepare and practice for the event
  • Participate in the event and solve DSA problems
  • Network with other participants and learn from industry experts

Career center

Learners who complete Java Data Structures & Algorithms + LEETCODE Exercises will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Java Data Structures & Algorithms + LEETCODE Exercises.
Provides a comprehensive overview of algorithm analysis, including a thorough treatment of Big O notation in German. It is an excellent resource for German-speaking students and programmers who want to understand the fundamentals of algorithm analysis and design.
Provides a comprehensive overview of search engines. It covers a wide range of topics, including the architecture of search engines, the algorithms used by search engines, and the evaluation of search engines.
Provides a comprehensive introduction to searching and sorting algorithms. It covers a wide range of topics, including the analysis of algorithms, the design of algorithms, and the implementation of algorithms in C++.
Provides a comprehensive guide to the design and analysis of algorithms. It covers a wide range of topics, including searching and sorting algorithms. The book is written in a clear and concise style, and it includes numerous examples and exercises.
Considered a must-read for any serious Java programmer, this book provides invaluable advice on writing robust, efficient, and well-designed code. It delves into best practices, common pitfalls, and advanced topics. It is highly recommended for intermediate to advanced programmers and professionals looking to deepen their understanding and improve their coding style.
While not exclusively a Java book, 'Clean Code' is highly recommended for Java developers. It focuses on the principles and practices of writing readable, maintainable, and testable code. is crucial for anyone looking to improve their software craftsmanship, regardless of experience level. It complements technical Java knowledge with essential coding standards.
Often referred to as CLRS, this book comprehensive and widely-used textbook for undergraduate and graduate-level algorithms courses. It provides a rigorous treatment of data structures, including stacks, and the analysis of algorithms. While not solely focused on stacks, it provides essential foundational knowledge and valuable reference.
Is the definitive guide to writing correct and efficient multithreaded Java applications. Concurrency complex topic, and this book provides the necessary knowledge and patterns to handle it effectively. It's essential reading for graduate students and working professionals dealing with concurrent programming.
This seminal work provides a catalog of refactorings to improve the design of existing code. It explains how to identify code smells and apply techniques to make code more understandable and maintainable. is essential for developers who work with existing Java codebases and want to improve their design.
Provides a detailed treatment of sorting algorithms, covering both classic and modern techniques. It good choice for students and practitioners who wish to gain a deeper understanding of sorting algorithms.
Provides a comprehensive introduction to searching and sorting algorithms in Java. It covers a wide range of topics, including the analysis of algorithms, the design of algorithms, and the implementation of algorithms in Java.
Provides a comprehensive introduction to data structures and algorithms in JavaScript. It covers a wide range of topics, including searching and sorting algorithms. The book is written in a clear and concise style, and it includes numerous examples and exercises.
Provides a comprehensive overview of data structures and algorithms. It covers a wide range of topics, including searching and sorting algorithms. The book is written in a clear and concise style, and it includes numerous examples and exercises.
Provides a comprehensive overview of searching and sorting techniques. It covers a wide range of topics, including the analysis of algorithms, the design of algorithms, and the implementation of algorithms in C++.
Provides a comprehensive introduction to algorithms in C++. It covers a wide range of topics, including searching and sorting algorithms. The book is written in a clear and concise style, and it includes numerous examples and exercises.
Comprehensive treatment of algorithmics, from the foundations to advanced topics such as randomized algorithms and approximation algorithms. It is written in a clear and concise style, and it includes many examples and exercises.
This Japanese translation of the renowned textbook 'Introduction to Algorithms' provides a comprehensive overview of arrays, including their analysis, implementation, and applications in algorithm design. It is an excellent resource for readers seeking a thorough understanding of the topic.
For those interested in enterprise Java development, this book is an essential guide to the Spring framework. Spring is widely used for building Java applications, and this book covers its core features and best practices. It is valuable for undergraduate students and professionals focusing on enterprise Java.
This textbook is suitable for advanced data structures or introductory graduate-level algorithm analysis courses. It bridges the gap between foundational data structures and more advanced analysis techniques. The book provides a rigorous and in-depth analysis of algorithms and their implementation in C++.
Introduces fundamental design patterns in a highly engaging and easy-to-understand manner. While not solely focused on Java, it uses Java examples extensively. Understanding design patterns is vital for writing well-structured and maintainable Java applications, making this book valuable for students and professionals.
While not a Java-specific book, this is highly relevant for Java developers building large-scale, distributed systems. It covers fundamental concepts in data systems, which are crucial for designing robust Java applications in a professional setting.
Offers a unique perspective on algorithms and data structures, focusing on practical problem-solving and the design of algorithms. It includes a 'Hitchhiker's Guide to Algorithms' which serves as a quick reference for various data structures, including stacks. It's valuable for both students and working professionals.
Is highly relevant for professionals working with or interested in microservices architecture using Java. It provides a holistic view of designing, building, and deploying microservices. While not strictly a Java language book, it addresses a key architectural style in modern Java development.
A well-regarded textbook for learning data structures and algorithms with Java implementations. It covers stacks comprehensively and is often used in introductory computer science courses at the university level.
Is known for its comprehensive coverage and clear explanations of Java concepts, emphasizing the 'why' behind the language features. It's a strong resource for intermediate and advanced learners seeking a deeper understanding of Java and object-oriented programming.
For Java developers working with containerized applications and cloud deployments, understanding Kubernetes is essential. provides a comprehensive guide to deploying and managing applications on Kubernetes. It's highly relevant for professionals in a DevOps environment.
A comprehensive introduction to Java programming, this book covers the basics thoroughly, from writing and compiling code to understanding keywords and syntax. It's suitable for beginners and can serve as a good reference for fundamental concepts. The latest editions are updated to cover newer Java versions.
Another foundational book for software developers, this provides timeless advice on a wide range of topics, including development methodologies, personal responsibility, and career development. While not Java-specific, its principles are highly relevant and beneficial for any Java programmer seeking to improve their overall development skills.
Explores the use of arrays in modern programming languages and environments, discussing advanced topics such as concurrent programming, memory management, and performance optimization. It is particularly relevant for readers interested in understanding how arrays are used in real-world software systems.
Aims to make learning data structures and algorithms approachable and intuitive. It uses clear language and analogies to explain concepts like linked lists. It's particularly well-suited for beginners or those who have struggled with more theoretical texts, helping to build a broad understanding of the topic.
Introduces the principles of Test-Driven Development (TDD) using simple examples. While the examples are not exclusively in Java, the concepts are directly applicable to Java development. TDD fundamental practice for writing robust and maintainable code, making this book valuable for all levels.
Offers a very approachable and illustrated guide to algorithms, making it excellent for beginners. It uses diagrams and clear explanations to introduce fundamental concepts like sorting and searching. It's a great starting point before diving into more theoretically dense texts.
Focuses on the implementation of queues and stacks in Java. It provides a step-by-step guide to creating and using these data structures, making it ideal for beginners.
Provides a comprehensive coverage of data structures and algorithm analysis, including a chapter on sorting algorithms. It good choice for students who wish to learn about sorting algorithms in the context of a broader study of data structures and algorithms.
This classic book on object-oriented analysis and design principles. While it uses C++ examples, the concepts are universally applicable to Java development. It provides a deep understanding of how to design complex software systems, valuable for advanced students and architects.
Explores the functional programming features introduced in Java 8, such as lambda expressions and streams. It helps developers write more concise and expressive code. This is particularly relevant for those looking to leverage modern Java language features.
Provides a unique approach to learning computer science, using visual representations of programs. It covers a wide range of topics, including queues. It is written in a clear and engaging style, making it a great choice for students and professionals alike.
Provides a collection of programming challenges, including problems that involve queues. It great way to test your skills and learn new techniques.
This textbook offers a rigorous introduction to data structures and algorithms with implementations in C++. It covers a wide range of topics and is suitable for undergraduate computer science programs.
Provides a comprehensive overview of algorithm design and analysis, including a chapter on queues. It is written in a clear and concise style, making it accessible to readers of all levels.
Offers a beginner-friendly introduction to Java programming with clear explanations and visual aids. It's a good option for absolute beginners or those who prefer a less formal approach to learning the basics of Java.
Provides a practical and easy-to-understand introduction to data structures and algorithms using Java. It explains concepts like linked lists with clear code examples and focuses on how they are used in real-world programming. It's a good resource for those who prefer a more hands-on approach and want to see how data structures are implemented in Java.
Provides a solid introduction to data structures using C++. It is often used as a textbook and includes numerous examples and exercises to help students understand the concepts and improve their programming skills.
Provides a concise and practical guide to essential algorithms and data structures. It covers linked lists and their practical applications, focusing on providing working code examples. It's a good reference for developers who need to quickly understand and implement algorithms.
Explores advanced algorithms and data structures for complex programming challenges in areas like data analysis and machine learning. While it builds on basic data structures, it can provide insight into how linked list concepts might be extended or applied in more contemporary contexts. It is aimed at intermediate programmers looking to enhance their skills.
Focuses on teaching algorithms using the C programming language. It covers arrays as a data structure and explores their use in various algorithm implementations.
This graduate-level textbook provides a comprehensive look at advanced data structures and their algorithmic considerations. It delves into complexities of data storage and covers specialized structures like interval trees. It's a dense but indispensable text for those needing a deep understanding of advanced topics, with code examples in C.

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