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Learning Algorithms in JavaScript from Scratch

Eric Traub

4.6

Based on 1,963 ratings

, see reviews

Eric Traub

This course teaches algorithms in javascript from the ground up. Using algorithms in your programming allows you to improve the efficiency, performance, speed, and scalability of your code/applications/programs. You will learn what algorithms are, why they are important, and how to code them out in JavaScript. You will also learn other important programming concepts along the way such as functional programming, time complexity, recursion, and other important concepts, because you will be implementing them in the algorithms that you build throughout this course. This course also heavily uses diagrams and animations to help make understanding the material easier.

This course is also very good for anyone who is interviewing for developer/engineering jobs at both large and small companies. Interviewers will very often ask candidates to write algorithms out in code, and this course will prepare you very well to do that. If you have recently graduated from a coding bootcamp or are currently looking for a job, you will find this course to be beneficial. Knowing algorithms will absolutely help you to excel in technical interviews.

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What's inside

Learning objectives

Code out important algorithms in javascript
Improve the efficiency, performance, and scalability of your code, applications, and programs

Excel in technical engineering/programming interviews at both large companies and small companies
Create your own, custom, algorithms that can perform whatever functionality you may need

Code out important algorithms in javascript
Improve the efficiency, performance, and scalability of your code, applications, and programs
Excel in technical engineering/programming interviews at both large companies and small companies
Create your own, custom, algorithms that can perform whatever functionality you may need

Syllabus

Introduction

Introduction to Algorithms & Course Layout

Fizz Buzz

Fizz Buzz - Intro

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches essential algorithms in JavaScript to enhance code performance and scalability

Suitable for learners preparing for technical interviews in engineering or programming roles

Emphasizes important programming concepts like functional programming and time complexity

Utilizes diagrams and animations to facilitate understanding of complex algorithms

Covers a range of algorithms commonly used in industry, including binary search, merge sort, and Sieve of Eratosthenes

Led by Eric Traub, an experienced instructor in the field of algorithms and JavaScript

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Reviews summary

Algorithms and interview prep in js

According to learners, this course is a highly recommended starting point for understanding algorithms and data structures, especially for those preparing for technical interviews or new to the concepts. Students often highlight the clear and simple explanations, the practical hands-on coding exercises, and the helpful use of diagrams and animations which make complex topics like time complexity and recursion easier to grasp. While many find the pace suitable for beginners, some more experienced learners note that the course doesn't delve into advanced topics or provide more challenging problems. Overall, it is seen as building a solid foundational understanding.

Might be too basic for experienced students.

"While great for beginners, this course doesn't go deep enough for more advanced algorithm topics."

"If you already have a computer science background, the pace might feel a bit slow."

"Could use more challenging practice problems beyond the basic implementations."

Hands-on coding practice is very useful.

"The coding examples were practical, and writing the code alongside the instructor was really beneficial."

"I appreciated the opportunity to code out each algorithm myself; it solidified my learning."

"Having the source code available to review afterwards was a great help."

Concepts are explained simply and effectively.

"The instructor explains everything so clearly; it's easy to grasp even challenging ideas."

"Diagrams and animations made understanding the material, especially things like recursion, much easier."

"I finally understood Big O notation thanks to the clear breakdown provided here."

Great starting point for foundational concepts.

"As a complete beginner to algorithms, I found this course incredibly easy to follow and understand."

"This is the perfect starting point if you've never touched algorithms before but want to learn the basics in JavaScript."

"It really broke down complex topics into simple, digestible pieces for someone new like me."

Very helpful for coding interviews.

"Taking this course significantly boosted my confidence for my coding interviews."

"A must-take if you're job searching and need to brush up on algorithm questions."

"It covered the exact types of problems often asked in technical screens."

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 Learning Algorithms in JavaScript from Scratch with these activities:

Review your notes from previous courses related to algorithms

Show steps

Refresh your memory on the basics of algorithms before starting this course.

Browse courses on Algorithms

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Gather your notes from previous courses.
Review the notes and identify areas where you need to brush up.

Review Introduction to Algorithms by Cormen, Leiserson, and Rivest

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Supplement your understanding by reading a classic textbook on algorithms.

View Introduction to Algorithms, fourth edition on Amazon

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Read a section of the book.
Summarize the key concepts in your own words.

Attend a local tech meetup focused on JavaScript or algorithms

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Connect with other developers and learn about the latest trends in the field.

Browse courses on JavaScript

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Find a local tech meetup that aligns with your interests.
Attend the meetup and participate in discussions.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Practice coding basic algorithms

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Reinforce your understanding of the code and algorithmic concepts in JavaScript by working on coding drills.

Browse courses on Algorithms

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Code out the Fizz Buzz problem in JavaScript.
Code out the Harmless Ransom Note problem in JavaScript.
Code out the Is Palindrome problem in JavaScript.

Build a simple calculator using JavaScript

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Apply your JavaScript and algorithm skills by building a practical project.

Browse courses on JavaScript

Show steps

Plan the design and functionality of your calculator.
Write the code for your calculator.
Test and debug your calculator.

Watch tutorials on recursion and binary search

Show steps

Expand your knowledge by exploring tutorials on advanced algorithms like recursion and binary search.

Browse courses on Recursion

Show steps

Find a tutorial on recursion and watch it.
Find a tutorial on binary search and watch it.

Write a blog post about your favorite algorithm

Show steps

Deepen your understanding by explaining an algorithm in a blog post.

Browse courses on Algorithms

Show steps

Choose an algorithm you're familiar with.
Write a blog post explaining how the algorithm works.
Publish your blog post and share it with others.

Participate in an online coding contest focused on algorithms

Show steps

Test your skills and learn from others by participating in a coding contest.

Browse courses on Algorithms

Show steps

Find an online coding contest that interests you.
Practice solving algorithm problems.
Participate in the contest and try to solve as many problems as possible.

Career center

Learners who complete Learning Algorithms in JavaScript from Scratch will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software Engineers design, develop, test, and maintain software systems. This course may be useful as it teaches algorithms in JavaScript, which are essential to creating efficient and effective software. By learning how to code algorithms, you will be able to improve the performance, speed, and scalability of your code. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in software development.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design, create, and maintain websites. This course may be useful as it teaches algorithms in JavaScript, which are essential for building interactive and dynamic web pages. By learning how to code algorithms, you will be able to improve the efficiency, performance, and scalability of your web applications. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in web development.

See salaries and explore the career path for Web Developer

Computer Programmer

Computer Programmers write, test, and maintain computer programs. This course may be useful as it teaches algorithms in JavaScript, which are essential for writing efficient and effective computer programs. By learning how to code algorithms, you will be able to improve the performance, speed, and scalability of your programs. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in computer programming.

See salaries and explore the career path for Computer Programmer

Data Scientist

Data Scientists collect, analyze, and interpret data to extract meaningful insights. This course may be useful as it teaches algorithms in JavaScript, which are essential for processing and analyzing large datasets. By learning how to code algorithms, you will be able to improve the efficiency, performance, and scalability of your data analysis pipelines. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in data science.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and maintain machine learning models. This course may be useful as it teaches algorithms in JavaScript, which are essential for building and training machine learning models. By learning how to code algorithms, you will be able to improve the accuracy, efficiency, and performance of your machine learning models. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in machine learning engineering.

See salaries and explore the career path for Machine Learning Engineer

Software Architect

Software Architects design and develop the overall architecture of software systems. This course may be useful as it teaches algorithms in JavaScript, which are essential for designing efficient and scalable software systems. By learning how to code algorithms, you will be able to improve the performance, speed, and reliability of your software systems. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in software architecture.

See salaries and explore the career path for Software Architect

Technical Lead

Technical Leads lead and manage teams of software engineers and developers. This course may be useful as it teaches algorithms in JavaScript, which are essential for understanding and managing the development of complex software systems. By learning how to code algorithms, you will be able to better understand the technical challenges and trade-offs involved in software development. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in software development.

See salaries and explore the career path for Technical Lead

Engineering Manager

Engineering Managers lead and manage teams of engineers and developers. This course may be useful as it teaches algorithms in JavaScript, which are essential for understanding and managing the development of complex engineering projects. By learning how to code algorithms, you will be able to better understand the technical challenges and trade-offs involved in engineering projects. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in engineering management.

See salaries and explore the career path for Engineering Manager

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze and predict financial data. This course may be useful as it teaches algorithms in JavaScript, which are essential for building and deploying financial models. By learning how to code algorithms, you will be able to improve the accuracy, efficiency, and performance of your financial models. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in quantitative analysis.

See salaries and explore the career path for Quantitative Analyst

Data Analyst

Data Analysts collect, analyze, and interpret data to extract meaningful insights. This course may be useful as it teaches algorithms in JavaScript, which are essential for processing and analyzing large datasets. By learning how to code algorithms, you will be able to improve the efficiency, performance, and scalability of your data analysis pipelines. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in data analysis.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts analyze and improve business processes and systems. This course may be useful as it teaches algorithms in JavaScript, which are essential for automating and streamlining business processes. By learning how to code algorithms, you will be able to improve the efficiency, performance, and scalability of your business processes. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in business analysis.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers lead and manage the development of software products. This course may be useful as it teaches algorithms in JavaScript, which are essential for understanding and managing the development of complex software products. By learning how to code algorithms, you will be able to better understand the technical challenges and trade-offs involved in product development. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in product management.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers lead and manage software development projects. This course may be useful as it teaches algorithms in JavaScript, which are essential for understanding and managing the development of complex software projects. By learning how to code algorithms, you will be able to better understand the technical challenges and trade-offs involved in project management. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in project management.

See salaries and explore the career path for Project Manager

Scrum Master

Scrum Masters lead and manage Scrum teams. This course may be useful as it teaches algorithms in JavaScript, which are essential for understanding and managing the development of complex software products using Scrum. By learning how to code algorithms, you will be able to better understand the technical challenges and trade-offs involved in Scrum development. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in Scrum mastery.

See salaries and explore the career path for Scrum Master

Agile Coach

Agile Coaches help teams and organizations adopt and implement Agile methodologies. This course may be useful as it teaches algorithms in JavaScript, which are essential for understanding and managing the development of complex software products using Agile methodologies. By learning how to code algorithms, you will be able to better understand the technical challenges and trade-offs involved in Agile development. This course also covers important programming concepts such as functional programming, time complexity, recursion, and other important concepts that are commonly used in Agile coaching.

See salaries and explore the career path for Agile Coach

Reading list

We've selected ten 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 Learning Algorithms in JavaScript from Scratch.