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JavaScript Algorithms

Rob Merrill

Hi, it's me, Rob - Front End Engineer and online instructor with over 15,000 students.

If you are a beginner JavaScript students wanting to prepare yourself for your first JavaScript coding interview then this course is for you.

An algorithm is like a recipe. It takes “inputs” (the ingredients), and performs a set of simple and (hopefully) well-defined steps, and then finishes after producing an “output” (the meal).

Each lesson will present you with:

Read more

Hi, it's me, Rob - Front End Engineer and online instructor with over 15,000 students.

If you are a beginner JavaScript students wanting to prepare yourself for your first JavaScript coding interview then this course is for you.

An algorithm is like a recipe. It takes “inputs” (the ingredients), and performs a set of simple and (hopefully) well-defined steps, and then finishes after producing an “output” (the meal).

Each lesson will present you with:

  1. An algorithm for you to solve. This is like challenging you as a chef to produce a specific meal.

  2. I will share with you the JavaScript tools that may be helpful to solve this challenge. This is like knowing the ingredients, tools and techniques of cooking.

  3. I will then teach you to write out pseudocode, how you would solve this problem in your own words. This is where we will write out the recipe together.

  4. Finally, I’ll present you with multiple ways to solve each challenge. Just like there are variations in how to make a meal, so there are a number of ways to solve an algorithm.

Check out any of the sample videos for this course to get a feel :)

Many algorithm courses will present you with a challenge then have you passively watch them solve the challenge. This course will guide you as a beginning in breaking down a problem and learning to solve on your own.

This isn’t the only algorithms course you should ever take. But it should be your first.

Let’s get cooking with JavaScript.

Enroll now

What's inside

Learning objectives

  • Be prepared to answer introductory javascript algorithm whiteboard interview questions
  • Learn how to break down challenges in their own words then solve on their own.
  • Master commonly asked interview questions
  • Use javascript to solve challenging algorithms
  • Improve your problem solving skills and become a stronger developer

Syllabus

Environment Setup
split, reverse and join methods along with accessing array elements by index
Name Swap - Built in Functions
Name Swap - Built in Functions - Final Code
Read more
Name Swap - Indices
Name Swap - Indices - Final Code
learn about for loops, modulus operator and filter method
Remove Odd Number from Array with Modulus Operator and For Loops
Remove Odd Number from Array with Modulus Operator and For Loops - Final Code
Remove Odd Numbers from Array with Filter Method
Remove Odd Numbers from Array with Filter Method - Final Code
learn about for loops and while loops and the += operator
Repeat a String with for loop
Repeat a String with for loop - Final Code
Repeat a String with while loop
Repeat a String with while loop - Final Code
Find the Longest String
Find the Longest String with replace method and regular expressions
Find the Longest String - Final Code
Find the Longest String with replace method and regular expressions with For Of
Find the Longest String Part II - Final Code
Filter Strings from Array
Filter Strings from Array with typeof operator and Number.isInteger() method
Filter Strings from Array with typeof operator... - Final Code
Filter Strings from Array with filter() method
Filter Strings from Array with filter() method - Final Code
Alphabetize String
Alphabetize String with sort() method
Alphabetize String - Final Code
Alphabetize String with sort() method and spread syntax
Alphabetize String Part II - Final Code
Reverse a String
Reverse a String with built in functions
Reverse a String with built in functions - Final Code
Reverse a String with spread syntax
Reverse a String with spread syntax - Final Code
Reverse a String with for loop
Reverse a String with for loop - Final Code
Reverse a String with for of loop
Reverse a String with for of loop - Final Code
Palindrome
Is Palindrome?
Palindrome - Final Code
Review Bonus Content: JavaScript the Basics
Review: Variables
Variable Whiteboard Lesson
Variable Lab Lesson
Review: String
String Whiteboard Lesson
String Lab Lesson
Review: Objects
Objects Intro Whiteboard
Objects Intro Lab
Objects Dot and Bracket Notation Whiteboard
Objects Dot and Bracket Notation Lab
Review: Arrays
Arrays Intro Whiteboard
Arrays Intro Lab
Array Methods Part 1 Whiteboard
Array Methods Part 1 Lab
Array Methods Part 2 Whiteboard
Array Methods Part 2 Lab
Review: Functions
Functions Basics Part 1 Whiteboard
Functions Basics Part 1 Lab
Functions Basics Part 2 Whiteboard
Functions Basics Part 2 Lab
Functions Basics Part 3 Whiteboard
Functions Basics Part 3 Lab
Review: Loops and Conditionals
Loops and Conditionals Whiteboard
Loops and Conditionals Lab
Switch Statement Whiteboard
Switch Statement Lab
Loops Part 2 - For, While, Do/While Loops Whiteboard
Loops Part 2 - For, While, Do/While Loops Lab
Review: Regular Expressions
Regular Expressions Whiteboard
Review: This, Bind, Call & Apply
This & Bind Whiteboard
This & Bind Lab
This & Call Whiteboard
This & Call Lab
Review: Functional Programming
Functional Programming Intro Whiteboard
Functional Programming Intro Lab
Map Method Whiteboard
Map Method Lab
Reduce Method Whiteboard
Reduce Method Lab
Review: ES6
Let Whiteboard
Let Lab
Const Whiteboard & Lab
Template Literals Whiteboard
Template Literals Lab
Arrow Functions Whiteboard
Arrow Functions Lab
Spread Operator Whiteboard

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Breaks down algorithms into pseudocode, which helps beginners understand the logic before diving into code, and this is a great way to prepare for technical interviews
Covers common JavaScript methods like `split`, `reverse`, `join`, `sort`, and `filter`, which are essential for manipulating data structures and solving algorithmic problems
Includes a review of JavaScript basics, such as variables, strings, objects, arrays, functions, loops, conditionals, regular expressions, and ES6 features, reinforcing foundational knowledge
Focuses on using JavaScript to solve algorithms, which is highly relevant for front-end engineers and web developers who need to manipulate data and implement complex logic
Presents multiple ways to solve each algorithm, which encourages learners to think critically and creatively about problem-solving, and this is a great way to learn
Teaches regular expressions, which are useful for pattern matching and data validation, but learners should be aware that regular expressions can be complex and require dedicated study

Save this course

Save JavaScript Algorithms to your list so you can find it easily later:
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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 Algorithms with these activities:
Review JavaScript Basics
Solidify your understanding of fundamental JavaScript concepts before diving into algorithms. A strong foundation will make learning algorithms easier.
Browse courses on JavaScript Fundamentals
Show steps
  • Review variables, data types, and operators.
  • Practice writing basic JavaScript functions.
  • Work through online JavaScript tutorials.
Grokking Algorithms
Read this book to gain a more intuitive understanding of algorithms. The visual explanations will help you grasp the concepts more easily.
View Grokking Algorithms, Second Edition on Amazon
Show steps
  • Read the chapters on the algorithms covered in the course.
  • Pay attention to the illustrations and examples.
  • Try to implement the algorithms yourself after reading the explanations.
Cracking the Coding Interview
Use this book as a reference to understand common algorithm questions and solutions. It will help you prepare for coding interviews.
View Cracking the Coding Interview: 189 Programming... on Amazon
Show steps
  • Read the chapters on data structures and algorithms.
  • Solve the practice problems in each chapter.
  • Review the solutions and understand the reasoning behind them.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Basic Coding Challenges
Practice solving simple coding problems to improve your problem-solving skills. This will help you approach algorithm challenges more effectively.
Show steps
  • Solve coding challenges on platforms like HackerRank or LeetCode.
  • Focus on problems involving strings, arrays, and loops.
  • Analyze your solutions and identify areas for improvement.
Pair Programming on Algorithm Challenges
Collaborate with a peer to solve algorithm challenges together. This will expose you to different approaches and improve your communication skills.
Show steps
  • Find a study partner who is also learning algorithms.
  • Choose an algorithm challenge and work on it together.
  • Discuss your approaches and explain your code to each other.
  • Take turns being the driver and the navigator.
Build a Simple Algorithm Visualizer
Create a visual representation of how different algorithms work. This will deepen your understanding and make it easier to explain them.
Show steps
  • Choose a few algorithms to visualize (e.g., sorting algorithms).
  • Use JavaScript and HTML/CSS to create the visualizer.
  • Implement the algorithms and display their steps visually.
  • Add interactive controls to step through the algorithm.
Create a Blog Post Explaining an Algorithm
Write a blog post explaining a specific algorithm in detail. This will force you to deeply understand the algorithm and communicate it effectively.
Show steps
  • Choose an algorithm that you want to explain.
  • Research the algorithm and understand its steps.
  • Write a clear and concise explanation of the algorithm.
  • Include examples and diagrams to illustrate the algorithm.
  • Publish your blog post on a platform like Medium or your own website.

Career center

Learners who complete JavaScript Algorithms will develop knowledge and skills that may be useful to these careers:
Software Engineer
A software engineer designs, develops, tests, and maintains software applications. This course in JavaScript Algorithms helps build a foundation in problem-solving and algorithmic thinking, essential skills for any software engineer. The ability to break down challenges, as emphasized in the course, is crucial for designing efficient and effective software solutions. Practice with JavaScript tools and techniques will directly translate to writing cleaner, more maintainable code. Learning and applying concepts in the course syllabus such as Regular Expressions may be valuable within this role. Moreover, exposure to multiple approaches for solving each algorithm prepares you to handle diverse programming scenarios, making this course a valuable asset for aspiring software engineers.
See salaries and explore the career path for Software Engineer
Full-Stack Developer
A full stack developer works on both the front end and back end of web applications. This course in JavaScript Algorithms gives a full stack developer a strong foundation in algorithmic problem-solving, which is essential for building efficient and scalable applications. The course's approach of breaking down problems, writing pseudocode, and implementing multiple solutions may be useful in attacking challenges on both the front end and back end. By mastering data manipulation, string processing, and control flow in JavaScript, a full stack developer can enhance their ability to create seamless and performant user experiences. This course provides a comprehensive introduction to algorithms, making it an ideal starting point for aspiring full stack developers.
See salaries and explore the career path for Full-Stack Developer
Front-End Developer
A front end developer is responsible for implementing visual elements and interactive features of websites and web applications that users directly interact with. This course in JavaScript Algorithms provides foundational knowledge for writing efficient and optimized JavaScript code. The course's emphasis on learning how to break down challenges and solve them independently is helpful for front end developers in building complex user interfaces and implementing dynamic functionalities. The review sections on ES6 and Functional Programming may be valuable when working with modern frameworks. By mastering these concepts, front end developers can create more performant and user-friendly web applications.
See salaries and explore the career path for Front-End Developer
Web Developer
A web developer specializes in building and maintaining websites and web applications. This JavaScript Algorithms course may be useful in preparing a web developer to handle front-end challenges involving complex logic and data manipulation. The course's focus on breaking down problems and developing solutions independently helps web developers write efficient and optimized code for interactive web elements and features. Mastering array methods, string manipulation, and loop structures, as covered in the course, are directly applicable to front-end development tasks. The practical, hands-on approach offered by this course is particularly valuable for web developers looking to strengthen their algorithmic skills and improve their ability to create dynamic and responsive web experiences.
See salaries and explore the career path for Web Developer
Back-End Developer
A back end developer builds and maintains the server-side logic and databases that power web applications. While this course focuses on JavaScript algorithms, the underlying principles of algorithmic thinking and problem-solving are universally applicable to back end development. The course's emphasis on breaking down challenges and developing solutions independently helps back end developers design efficient and scalable server-side logic. Understanding concepts like loops, conditionals, and regular expressions, as reviewed in the course, will be beneficial for writing robust and optimized back end code, making this course a valuable supplement to back end development skills.
See salaries and explore the career path for Back-End Developer
Mobile Application Developer
A mobile application developer creates applications for mobile devices, such as smartphones and tablets. While this course focuses on JavaScript algorithms, the problem-solving skills and algorithmic thinking are transferable to mobile app development, especially when using frameworks like React Native or NativeScript. The course's emphasis on breaking down challenges and developing solutions independently is helpful for mobile app developers in building complex features and optimizing app performance. The concepts on array methods, string manipulation, and functional programming, as covered in the course, are directly applicable to mobile app development tasks. By mastering these skills, mobile app developers can create more efficient, responsive, and user-friendly applications.
See salaries and explore the career path for Mobile Application Developer
Software Development Engineer in Test
A Software Development Engineer in Test (SDET) is responsible for developing and executing automated tests to ensure the quality of software. This course in JavaScript Algorithms helps build a foundation in problem-solving and algorithmic thinking, essential skills for writing effective test cases and test automation scripts. The course's emphasis on breaking down challenges and developing solutions independently helps SDETs design comprehensive test strategies and identify potential bugs. By mastering JavaScript and algorithmic concepts, as covered in the course, an SDET can automate testing processes, improve code coverage, and ensure the delivery of high-quality software. The practical, hands-on approach offered by this course is particularly valuable for SDETs looking to strengthen their programming skills and enhance their ability to create robust testing frameworks.
See salaries and explore the career path for Software Development Engineer in Test
Technical Lead
A technical lead is responsible for guiding a team of developers and ensuring the technical quality of software projects. While this course focuses on JavaScript algorithms, the problem-solving skills and algorithmic thinking may be useful in providing guidance and mentorship to junior developers. The course's emphasis on breaking down challenges and developing solutions independently helps technical leads in making informed decisions about software architecture and design. Proficiency in JavaScript and algorithmic concepts, as demonstrated by completing this course, enhances a technical lead's ability to provide effective technical direction and ensure the successful delivery of high-quality software.
See salaries and explore the career path for Technical Lead
Data Scientist
A data scientist analyzes large datasets to extract meaningful insights and develop data-driven solutions. Although this course is centered around JavaScript algorithms, the fundamental principles of algorithmic thinking and problem-solving are valuable in data science. This course may be useful by providing skills in breaking down complex problems into manageable steps, which is beneficial for designing data processing pipelines and machine learning algorithms. Familiarity with array methods, loop structures, and functional programming, as covered in the course, can be applied to data manipulation and analysis tasks. While data science typically requires advanced knowledge of statistics and machine learning, this course lays a foundation for logical thinking and code optimization, which are essential for effective data analysis.
See salaries and explore the career path for Data Scientist
Data Analyst
A data analyst collects, processes, and analyzes data to provide insights and support decision-making. While this course focuses on JavaScript algorithms, the problem-solving skills and algorithmic thinking may be valuable for data manipulation and analysis tasks. The course's emphasis on breaking down challenges and developing solutions independently helps data analysts in writing efficient scripts for data cleaning, transformation, and analysis. Familiarity with array methods, loop structures, and regular expressions, as covered in this course, can be applied to data processing tasks. The skills learned in this course help build a foundation for more advanced data analysis techniques.
See salaries and explore the career path for Data Analyst
Technical Consultant
A technical consultant provides expert advice and guidance to clients on technology-related issues. While this course focuses on JavaScript algorithms, the problem-solving skills and algorithmic thinking are valuable for assessing technical challenges and recommending effective solutions. This course may be useful because it emphasizes breaking down complex problems and developing solutions independently, helping technical consultants in analyzing client requirements and designing appropriate technical strategies. A solid understanding of JavaScript and algorithmic concepts, as gained through this course, can enhance a technical consultant's credibility and ability to provide informed recommendations, making this course a valuable asset for aspiring technical consultants.
See salaries and explore the career path for Technical Consultant
UI Designer
A UI Designer focuses on the user interface, or the visual and interactive elements, of a product. While this course concentrates on JavaScript Algorithms, the problem-solving abilities and logical thought processes are helpful in understanding how a user interacts with a website or app and how to optimize that interaction. The course's emphasis on thinking algorithmically and multiple solutions may be useful when crafting the best possible method of visual communication. Furthermore, thinking about how the user interacts with array methods and other elements covered in the course will help inform the UI Designer's decisions, making this course a valuable asset.
See salaries and explore the career path for UI Designer
UX Designer
A UX Designer is concerned with the user experience of a product, focusing on usability, accessibility, and overall satisfaction. Although this course is centered around JavaScript Algorithms, the analytical thinking, and problem-solving are valuable when considering a user's journey through a product. Taking the class may be useful by providing the framework for thinking about how the user must navigate a site and what the ideal experience should be. The class emphasis on algorithmic structure will aid the design process. This course lays a foundation for designing seamless, user-friendly experiences.
See salaries and explore the career path for UX Designer
Computer and Information Systems Manager
A computer and information systems manager plans, directs, and coordinates computer-related activities within an organization. This role often requires an advanced degree. While this course focuses on JavaScript algorithms, the problem-solving skills and algorithmic thinking discussed may be valuable for understanding and managing complex systems. This course may be useful because it emphasizes breaking down challenges and developing solutions independently, helping managers in making informed decisions about technology investments and resource allocation. A solid understanding of JavaScript and algorithmic concepts, as gained through this course, can enhance a manager's ability to lead technical teams and ensure the successful implementation of technology projects.
See salaries and explore the career path for Computer and Information Systems Manager
Database Administrator
A database administrator manages and maintains databases, ensuring data integrity, security, and availability. While this course focuses on JavaScript algorithms, the problem-solving skills and algorithmic thinking are valuable for optimizing database queries and performance. The course teaches breaking down challenges and developing solutions independently, which may be useful in troubleshooting database issues and designing efficient data storage solutions. The knowledge of loop structures, and data manipulation, as covered in the course, can be applied to database management tasks. This course's skills build a foundation for more advanced database administration techniques.
See salaries and explore the career path for Database Administrator

Reading list

We've selected two 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 Algorithms.
Cracking the Coding Interview
Save
Cracking the Coding Interview widely used resource for preparing for technical interviews. It contains a vast collection of programming questions and solutions, covering a wide range of data structures and algorithms. directly complements the course's objective of preparing students for JavaScript coding interviews. It provides additional practice problems and insights into the interview process.
Cracking the Coding Interview: 189 Programming...
Paperback
$$
Cracking the Coding Interview : 189 Programming...
Paperback
$$
Cracking the Coding Interview: 150 Programming...
Paperback
$$
Cracking the Coding Interview (Indian Edition)
Hardcover
$$
Cover image
Grokking Algorithms, Second Edition
Save
Provides a visual and intuitive approach to learning algorithms. It uses illustrations and examples to explain complex concepts in a simple way. It is particularly helpful for beginners who are new to algorithms. This book is more valuable as additional reading to supplement the course materials.
Grokking Algorithms, Second Edition
Paperback
$$
Grokking Algorithms, Second Edition
Kindle Edition
$$

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Effort
6.5 total hours
Via
Udemy
Instructor
Rob Merrill
Language
English
Good to know
Breaks down algorithms into pseudocode, which helps beginners understand the logic before diving into code, and this is a great way to prepare for technical interviews
Covers common JavaScript methods like `split`, `reverse`, `join`, `sort`, and `filter`, which are essential for manipulating data structures and solving algorithmic problems
Includes a review of JavaScript basics, such as variables, strings, objects, arrays, functions, loops, conditionals, regular expressions, and ES6 features, reinforcing foundational knowledge
Focuses on using JavaScript to solve algorithms, which is highly relevant for front-end engineers and web developers who need to manipulate data and implement complex logic
Presents multiple ways to solve each algorithm, which encourages learners to think critically and creatively about problem-solving, and this is a great way to learn
Teaches regular expressions, which are useful for pattern matching and data validation, but learners should be aware that regular expressions can be complex and require dedicated study
Share and help others discover this course.
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