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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 haven't picked any books for this reading list yet.
This textbook focuses on data structures and algorithms in the context of the Java programming language. It provides numerous examples and exercises to help students understand the concepts.
This textbook presents data structures and algorithms in the context of the C++ programming language. It covers a wide range of topics, including sorting, searching, and graph algorithms.
This textbook presents data structures and algorithms in the context of the C programming language. It is suitable for both undergraduate students and working professionals.
Offers a comprehensive treatment of data structures and algorithms, suitable for academic settings. It covers various data types and algorithms for sorting, searching, and processing. The book is known for its detailed explanations and includes an online portal with source code, making it a strong resource for solidifying understanding.
For those focusing on JavaScript, this book introduces data structures and algorithms using the language. It's a practical guide for JavaScript developers looking to understand these fundamental concepts and their implementation.
Provides a practical introduction to data structures and algorithms using the Ruby programming language. It is suitable for both undergraduate students and self-learners.
Provides a comprehensive and up-to-date overview of data structures and algorithms in the context of the Java programming language. It is suitable for both undergraduate students and working professionals.
This textbook provides a comprehensive introduction to algorithms and data structures. It covers a wide range of topics, including sorting, searching, graph algorithms, and dynamic programming.
Similar to the C++ version, this book focuses on data structures and algorithm analysis with a Java-centric approach. It's widely used in undergraduate courses concentrating on Java programming. The book combines theoretical foundations with real-world examples and is excellent for gaining a solid understanding in a Java environment.
Introduces data structures and algorithms using Python, focusing on problem-solving. It's a good resource for beginners learning these concepts through practical application. It is often used in introductory computer science courses.
Provides a practical and visual approach to learning data structures and algorithms using Java. It's well-suited for beginners and those who prefer a less theoretical introduction with clear examples and illustrations.
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.
Often referred to as "CLRS," this book comprehensive and widely-used textbook for undergraduate and graduate-level algorithms courses. It provides in-depth knowledge of data structures and algorithms, including their analysis and implementation. While it assumes some mathematical familiarity, it's an encyclopedic reference valuable for both learning and as a long-term resource.
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 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.
This classic textbook provides a comprehensive overview of fundamental algorithms and data structures, covering topics such as sorting, searching, and graph algorithms. It is suitable for both undergraduate and graduate students.

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