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Scott Barrett

Welcome to Data Structures & Algorithms in JavaScriptThis 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 JavaScriptThis 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

  • Linked Lists

  • Doubly Linked Lists

  • Stacks & Queues

  • Binary Trees

  • Hash Tables

  • 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 JavaScript Data Structures & Algorithms course on Udemy.I look forward to seeing you in the course. Now let's get started. :-)

Enroll now

What's inside

Learning objectives

  • <> 87 coding exercises
  • 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
Covers Big O notation, which is essential for understanding algorithm analysis
Utilizes extensive animated examples to simplify complex concepts like data structures and algorithms
Offers comprehensive exercises for hands-on practice, reinforcing learning
Covers a broad range of relevant topics, including arrays, linked lists, hash tables, and graphs
Provides clear and engaging explanations, making it accessible for beginners
Taught by Scott Barrett, a recognized expert in data structures and algorithms, with a strong reputation

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Reviews summary

Visual & practical javascript dsa mastery

According to students, this course is an exceptional resource for mastering Data Structures and Algorithms in JavaScript. Learners consistently highlight the visually engaging animations, stating they make complex concepts easy to understand and significantly improve retention. Many commend it as the "best course on DSA" they've taken, praising its optimized content that efficiently covers important topics without wasting time. It's noted for being clear and comprehensive, even for beginners, demonstrating a very high standard of quality.
The course is well-structured, covering key topics efficiently.
"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..."
"This course is very well done."
Complex topics are simplified, making them accessible and easy to follow.
"All the points are explained in detail."
"The way the instructor presents this topic makes it so easy to understand."
"It is perfectly optimized, covers the important topics that I wanted, and at the same time perfectly clear."
"This course has seriously been amazing. The animations have worked wonders for my understanding..."
"I can follow as a beginner, amazing."
Consistently rated as an outstanding and highly recommended educational resource.
"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."
"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."
"Amazing Course. 100% Recommended."
"This is the best course I have ever seen"
Visual animations clarify complex Data Structures and Algorithms concepts.
"The animations do make a huge impact."
"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 were really helpful for an easy understanding, but the best thing about this course for me is that it will not waste your time."
"...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 JavaScript Data Structures & Algorithms + LEETCODE Exercises with these activities:
Read 'JavaScript: The Good Parts' by Douglas Crockford
This book provides practical advice and insights on writing clean and efficient JavaScript code, which will complement your learning in this course.
Show steps
  • Purchase or borrow the book.
  • Read through the book, focusing on the principles and best practices for JavaScript development.
  • Apply the concepts you learn to your own JavaScript coding.
Organize your notes, assignments, and quizzes
Organizing your learning materials will help you stay on top of the course content and make it easier to review later.
Show steps
  • Create a dedicated folder or notebook for the course materials.
  • File and categorize your notes, assignments, and quizzes in a logical manner.
  • Review your organized materials regularly to reinforce your learning.
Read 'Data Structures and Algorithms in JavaScript' by Michael McMillan
This book provides a clear and concise introduction to data structures and algorithms in JavaScript, which can complement your learning in this course.
Show steps
  • Purchase or borrow the book.
  • Set aside dedicated time to read the book.
  • Take notes and highlight important concepts.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete the coding exercises in this course
Completing the coding exercises in this course will help you apply the concepts you're learning and reinforce your understanding.
Browse courses on Data Structures
Show steps
  • Read through the instructions carefully.
  • Start working on the exercises one at a time.
  • Debug your code and test it thoroughly to ensure it's working as intended.
Follow along with tutorials on GeeksforGeeks
GeeksforGeeks offers a wide range of tutorials on data structures, algorithms, and JavaScript, which can help you supplement your learning and deepen your understanding.
Browse courses on Data Structures
Show steps
  • Search for topics you're interested in or need to review.
  • Follow along with the tutorials step-by-step, taking notes and coding along.
  • Test your understanding by completing the practice exercises.
Practice coding problems on LeetCode
Practicing coding problems on LeetCode will help you solidify your understanding of data structures and algorithms, and prepare you for coding interviews.
Browse courses on Data Structures
Show steps
  • Create a LeetCode account and familiarize yourself with the platform.
  • Start with easy problems and gradually increase the difficulty as you gain confidence.
  • Keep track of your progress and review the problems you've solved.
Attend a JavaScript coding workshop
Attending a JavaScript coding workshop can provide hands-on experience and exposure to real-world applications of data structures and algorithms.
Browse courses on JavaScript
Show steps
  • Research and find a reputable coding workshop.
  • Register for the workshop and pay the registration fee.
  • Attend the workshop, participate actively, and take notes.
Build a simple data structure project
Building a simple data structure project will allow you to apply your knowledge and create something tangible that demonstrates your understanding.
Browse courses on Data Structures
Show steps
  • Choose a suitable project idea that aligns with your interests and goals.
  • Plan and design the project, including the data structures and algorithms you'll use.
  • Implement the project in JavaScript and test it thoroughly.

Career center

Learners who complete JavaScript 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 JavaScript Data Structures & Algorithms + LEETCODE Exercises.
Comprehensive introduction to the fundamental algorithms used in computer science. 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 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 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 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.
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.
This comprehensive textbook provides a broad overview of graph theory, covering fundamental concepts, algorithms, and applications. It is suitable for undergraduate and graduate students, as well as researchers in computer science, mathematics, and engineering.
Provides a comprehensive overview of extremal graph theory, covering fundamental concepts, models, and applications in various fields. It is suitable for researchers and students in computer science, mathematics, and other disciplines.
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.
Provides a comprehensive overview of network science, covering fundamental concepts, models, and applications in various fields. It is suitable for researchers and students in computer science, physics, biology, and other disciplines.
This German-language textbook provides a comprehensive overview of graph theory, covering both fundamental concepts and advanced topics. It is suitable for undergraduate and graduate students in mathematics and computer science.
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.
This advanced textbook covers combinatorial optimization problems related to graphs and matroids, such as network flow problems and matching problems. It is suitable for graduate students and researchers in computer science, operations research, and mathematics.
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 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 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 overview of algorithmics, including a chapter on queues. It is written in a clear and engaging style, making it a great choice for students and professionals alike.
Provides a step-by-step guide to algorithmic problem solving. 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.
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.
Classic in the JavaScript community, and it is still one of the best books on the language. Crockford leading expert on JavaScript, and his book is full of insights and best practices.
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++.
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.
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.
Provides a comprehensive overview of random graphs, covering fundamental concepts, models, and applications in various fields. It is suitable for researchers and students in computer science, mathematics, and other disciplines.
This introductory textbook provides a clear and concise introduction to graph theory, focusing on fundamental concepts and applications in computer science and other fields. It is suitable for undergraduate students with no prior knowledge of graph theory.
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.
Provides a very visual and beginner-friendly introduction to algorithms and data structures. It explains concepts like stacks in an easy-to-understand manner through illustrations. It's an excellent starting point for high school students and those new to the topic.
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 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.
Provides a comprehensive overview of data structures and algorithms, including their implementation in C++. It covers arrays as a fundamental data structure and discusses their use in various algorithms and applications.
Provides a collection of programming challenges, including problems that involve queues. It great way to test your skills and learn new techniques.
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 comprehensive overview of suffix trees, including their implementation, operations, and applications. It is an excellent resource for students and practitioners who want to learn about the fundamentals of suffix trees and their applications.
Provides a comprehensive overview of red-black trees in C++, including their implementation, operations, and applications. It is an excellent resource for students and practitioners who want to learn about the fundamentals of red-black trees and their applications in C++.
Presents data structures using Java. It covers hash tables comprehensively, explaining their implementation and applications in real-world scenarios.
Explores distributed computing, where hash tables play a crucial role in data distribution and consistency. It provides insights into the design and implementation of distributed hash tables and their applications in large-scale systems.
Fast-paced guide to JavaScript for experienced programmers. It covers all the basics, as well as more advanced topics such as closures and functional programming. It's a great book for anyone who wants to learn JavaScript quickly.
Comprehensive guide to Node.js, a popular JavaScript runtime environment. It covers all the basics, as well as more advanced topics such as scaling and testing. It's a great book for anyone who wants to learn Node.js in depth.
Provides a comprehensive overview of graph theory and its applications in various fields. It is suitable for undergraduate and graduate students in computer science and mathematics.
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 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 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 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.
While not strictly a data structures book, this text provides the essential mathematical background required for understanding the analysis of algorithms and data structures, including concepts relevant to stacks like proof techniques and recurrence relations. It's a foundational text for computer science students.

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