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Elshad Karimov

Are you ready to transform your JavaScript skills and master Data Structures & Algorithms in the most structured, engaging, and practical way?

Welcome to 100 Days of Code: JavaScript Data Structures and Algorithms, a step-by-step, hands-on coding journey designed to take you from the basics to advanced problem-solving techniques used by top software engineers at Google, Amazon, Facebook, and Microsoft.

Why This Course?

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Are you ready to transform your JavaScript skills and master Data Structures & Algorithms in the most structured, engaging, and practical way?

Welcome to 100 Days of Code: JavaScript Data Structures and Algorithms, a step-by-step, hands-on coding journey designed to take you from the basics to advanced problem-solving techniques used by top software engineers at Google, Amazon, Facebook, and Microsoft.

Why This Course?

  • Many courses give you dry theory, but this course is different.

  • Structured 100-Day Plan – No more wondering what to learn next. We guide you every single day.

  • Hands-on Coding Exercises – 150+ exercises with real-world coding problems, including LeetCode, HackerRank & FAANG-style challenges.

  • Practical Interview Preparation – Master the exact concepts asked in coding interviews, with step-by-step explanations.

  • Big O Complexity Explained – Learn efficient coding techniques, optimize your solutions, and write scalable code.

  • Deep Dives into JavaScript – Not just algorithms, but JavaScript-specific implementations that boost your problem-solving skills.

What You Will Learn:

This course covers everything you need to know about Data Structures and Algorithms (DSA) in JavaScript:

  • Big O Notation & Complexity Analysis

Understand how to analyze and optimize your code.

Essential Data Structures

  • Arrays, Linked Lists (Singly, Doubly, Circular)

  • Stacks & Queues (Array & Linked List Implementation)

  • Hash Tables (Collision Resolution Techniques)

  • Trees & Graphs (

Who is this Course For?

  • JavaScript developers preparing for technical interviews

  • Self-taught programmers who missed computer science fundamentals

  • University students struggling with DSA concepts

  • Anyone who wants to write efficient, scalable, and optimized code

Why Choose This Course Over Others?

  • 100 Days of Structured Learning – Unlike random tutorials, this course guides you every step of the way.

  • 150+ Hands-on Coding Challenges – Because theory alone won’t get you hired.

  • LeetCode & FAANG-Level Interview Questions – Get real interview practice as you learn.

  • JavaScript-Specific DSA – Learn how JavaScript handles memory, recursion, and data structures better than generic courses.

  • Clear & Practical Explanations – No fluff. No wasted time. Just results.

Student Reviews from my other courses

“The best hands-on DSA course . Super structured and detailed.” – John Monteggia“I cracked my FAANG interview because of this course. 100% recommended. ” – Eddie Yoga“This is the most complete DSA roadmap. If you're serious about interviews, take this course.” – Nikita Dabas

Ready to become a JavaScript DSA expert?

Don’t waste time on scattered resources—follow a proven roadmap and master DSA in 100 days.

Enroll now and start coding your way to success.

Enroll now

What's inside

Learning objectives

  • Learn dsa faster with animated examples
  • 166 coding exercises
  • Learn, implement and use different data structures
  • Confidently answer technical interview questions
  • Learn, implement and use different algorithms
  • Time and space complexity of data structures and algorithms

Syllabus

Day 1 - Introduction
Welcome
How to Get Most of Out of This Course
Channel for the Course
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Career center

Learners who complete 100 Days of Code: JavaScript Data Structures and Algorithms 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 100 Days of Code: JavaScript Data Structures and Algorithms.
This classic textbook provides a comprehensive overview of algorithms and data structures, including a thorough treatment of Big O notation. It is an excellent resource for students and programmers who want to understand the fundamentals of algorithm analysis and design.
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 common coding interview questions and solutions, covering topics such as data structures, algorithms, and problem-solving strategies. It is highly relevant to LeetCode, as it can help candidates prepare for and excel in coding interviews.
Often referred to as the 'bible' of algorithms, this book provides a comprehensive and rigorous treatment of data structures and algorithms, including a detailed section on linked lists. It is widely used as a textbook in undergraduate and graduate computer science programs and serves as an excellent reference for professionals. While not solely focused on linked lists, its in-depth coverage within the broader context of data structures makes it invaluable for a deep understanding. It foundational text that solidifies understanding of core concepts.
Focuses specifically on system design interview questions, which are a crucial part of the technical interview process, especially for more experienced candidates. It provides a structured approach to tackling system design problems and includes real-world examples. This book is highly relevant for those looking to deepen their understanding of designing scalable and reliable systems.
Developed by ex-McKinsey partners, this book presents a structured, seven-step approach to problem-solving used in top consulting firms. It emphasizes a highly visual, logic-tree method applicable to business and global challenges. is particularly relevant for undergraduate and graduate students interested in consulting or business, as well as working professionals seeking a robust framework for tackling complex issues. It valuable reference tool.
Delves into how top strategy consultants approach and solve complex business problems. It provides a four-step process informed by consulting and cognitive psychology, highlighting how to avoid common biases that lead to poor decisions. This is an excellent resource for graduate students and working professionals, especially those in business, management, or consulting, offering practical insights and techniques used in the industry.
This foundational book explores the two systems of thought that drive our decisions: the fast, intuitive system and the slower, more deliberate system. Understanding these systems is crucial for recognizing cognitive biases that can impede effective problem-solving. It provides a strong theoretical background for anyone looking to improve their decision-making and analytical skills, making it valuable for undergraduate and graduate students, as well as professionals. While not a how-to guide, it offers deep insights into the human mind's approach to problems.
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.
Comprehensive introduction to the design and analysis of algorithms, written in a clear and concise style. It covers a wide range of algorithms, from sorting and searching to graph algorithms and computational geometry.
This classic book by Donald Knuth provides a comprehensive treatment of dynamic programming. While not specifically focused on LeetCode problems, it valuable resource for understanding the fundamental concepts and techniques of dynamic programming, which common technique used in solving LeetCode problems.
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.
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.
While not strictly an interview prep book, this book provides a deep understanding of the concepts behind building scalable and reliable systems. This knowledge is invaluable for system design interviews, particularly for senior roles. It's a comprehensive resource for understanding the trade-offs and complexities of distributed systems.
Provides a clear and concise introduction to systems thinking, explaining how to perceive and understand the interconnectedness of elements within a system. This perspective is vital for identifying root causes of problems and developing effective, long-term solutions. It is valuable for advanced undergraduates, graduate students, and professionals across various fields who need to analyze and address complex issues with multiple interacting factors.
Focuses on recognizing and applying common coding interview patterns to solve problems efficiently. It helps candidates develop a systematic approach to problem-solving by identifying underlying structures and applying known algorithmic techniques.
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 broad overview of the technical interview process, covering not just coding questions but also other aspects like resume writing, behavioral questions, and salary negotiation. It's a good starting point for those new to technical interviews and provides a well-rounded preparation guide.
A classic in the field of mathematical problem-solving, Pólya's book outlines a four-step method: understanding the problem, devising a plan, carrying out the plan, and looking back. While focused on mathematics, its principles are widely applicable to problem-solving in any domain. is highly recommended for high school students and undergraduates, particularly those in STEM fields, and provides a solid framework for approaching unfamiliar problems.
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Following up on 'Thinking, Fast and Slow,' this book examines the impact of 'noise' – unwanted variability in judgments – on decision-making in various fields. It provides insights into identifying and reducing noise to improve the quality of decisions and problem resolution. This contemporary and relevant book for graduate students and professionals, particularly those involved in complex decision-making processes or system design.
Serves as both a textbook and a reference manual for algorithm design. It covers various data structures, including linked lists, and provides practical advice and real-world examples. It's divided into techniques and resources, making it useful for both learning and as a reference tool. The 'war stories' add a unique perspective on applying algorithms in practice.
Provides a four-step process to overcome common decision-making biases and make better choices. It offers practical strategies and real-world examples to help individuals navigate difficult decisions. This highly applicable book for students and professionals at all levels, providing a clear and actionable framework for improving decision quality in both personal and professional contexts.
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.
Offers an inside look at the problem-solving methodologies and tools used by McKinsey & Company, a leading management consulting firm. It provides practical insights into structuring thinking, conducting analysis, and presenting findings. This is particularly valuable for students and professionals interested in consulting or adopting a structured, analytical approach to business problems.
Offers a collection of problems and solutions focusing on data structures and algorithms implemented in Java. It provides ample practice for those preparing for interviews that involve coding in Java and reinforces understanding of fundamental concepts.
Provides a practical guide to designing and implementing efficient algorithms. It covers a wide range of algorithms, from basic sorting and searching to advanced topics such as dynamic programming and graph algorithms. While not specifically focused on LeetCode problems, it valuable resource for developing strong algorithmic skills.
Aims to make learning data structures and algorithms more intuitive and less intimidating. It uses clear explanations and practical examples to help build a solid understanding of fundamental concepts, making it a good resource for those who prefer a more approachable style.
Introduces Design Thinking as a human-centered approach to creative problem-solving. It provides a framework and tools for understanding user needs, brainstorming ideas, prototyping, and testing solutions. This is particularly useful for students and professionals in design, business, and innovation fields, offering a practical methodology for tackling ill-defined problems and generating innovative solutions.
A comprehensive textbook focusing on mathematical problem-solving, this book introduces a wide range of strategies and techniques beyond standard algorithms. It encourages creative thinking and perseverance in tackling challenging problems. This is an excellent resource for high school students and undergraduates participating in math competitions or seeking to develop advanced mathematical problem-solving skills.
Originally written for Japanese schoolchildren, this book offers a simple and accessible introduction to problem-solving frameworks. It emphasizes practical thinking and provides straightforward techniques applicable to various situations through real-life examples. is excellent for high school students and undergraduates seeking a foundational understanding of structured problem-solving approaches. It serves as a great starting point before delving into more complex methodologies.
Drawing on her experience as a professional poker player, Annie Duke provides a framework for making better decisions in situations with incomplete information and uncertainty. is highly relevant for understanding probabilistic thinking and managing risk in problem-solving. It's a valuable read for students and professionals who frequently face decisions with uncertain outcomes.
From the Stanford d.school, this book offers a collection of exercises and activities rooted in design thinking to help individuals develop their creative problem-solving abilities. It's a hands-on guide for fostering innovation and tackling challenges in unconventional ways. is great for students and professionals who want to actively practice creative approaches to problem-solving and inject more innovation into their work.
The fourth edition of Sedgewick and Wayne's algorithms textbook. It provides a comprehensive introduction to algorithms and data structures with implementations in Java. It's a widely used textbook in universities and a solid reference for technical interview preparation.
Presents a structured approach to making better decisions, outlining a clear framework with practical tools and techniques. It helps readers identify their values, set objectives, and evaluate alternatives systematically. This highly practical guide for students and professionals at all levels looking to improve their decision-making skills, which are intrinsically linked to problem-solving.
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.
Explores how experienced professionals make decisions in complex, time-pressured situations, focusing on the power of intuition and recognition-primed decision making. It challenges traditional rational decision-making models and offers insights into expert problem-solving. This valuable read for graduate students and professionals in high-stakes environments, providing a deeper understanding of how expertise influences problem resolution.
Offers a holistic approach to problem-solving, focusing on both the necessary mindset and practical tools. It encourages creativity, adaptability, and continuous improvement. With real-world examples and techniques, it's a useful guide for students and professionals looking to develop a well-rounded problem-solving skill set.
Offers a very visual and beginner-friendly introduction to core algorithms. It's an excellent resource for those who are new to algorithms or find the topic intimidating. It helps build a foundational understanding through clear explanations and illustrations.
Although targeted at legal and policy professionals, this book offers a systematic guide to creative problem-solving and effective judgment rooted in insights from statistics, decision science, and psychology. It's a valuable resource for graduate students and professionals in fields requiring rigorous analysis, judgment, and decision-making in complex social contexts.
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 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.
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.
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.
Ray Dalio, the founder of Bridgewater Associates, outlines the principles he developed and used to achieve success in life and work, including his approach to decision-making and problem-solving. offers a unique perspective on tackling challenges based on radical truth and transparency. It thought-provoking read for advanced undergraduate students, graduate students, and professionals interested in a principle-driven approach to problem-solving and leadership.
Introduces data structures and algorithms using JavaScript. It covers fundamental concepts such as arrays, linked lists, and trees, as well as more advanced topics such as graphs and dynamic programming. While not specifically designed for LeetCode problems, it provides a good foundation for solving algorithmic challenges in JavaScript.

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