Learning Algorithms in JavaScript from Scratch from Udemy

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.

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

Modulus Operator

Fizz Buzz - Code

Fizz Buzz - Testing

Fizz Buzz - Source Code

Harmless Ransom Note

Harmless Ransom Note - Intro

Time Complexity & Big O Notation

Harmless Ransom Note - Code Part 1

Harmless Ransom Note - Code Part 2

Harmless Ransom Note - Testing

Harmless Ransom Note - Source Code

Is Palindrome

Is Palindrome - Intro

Is Palindrome - Code

Is Palindrome - Testing

Is Palindrome - Source Code

Caesar Cipher

Caesar Cipher - Intro

Caesar Cipher - Code

Caesar Cipher - Testing

Caesar Cipher - Source Code

Reverse Words

Reverse Words - Intro

Reverse Words - Code

Reverse Words - Testing

Reverse Words - Source Code

Reverse Array In Place

Reverse Array In Place - Intro

Reverse Array In Place - Code

Reverse Array In Place - Testing

Reverse Array In Place - Source Code

Mean Median Mode

Mean Median Mode - Intro

Mean Median Mode - Code Part 1

Mean Median Mode - Code Part 2

Mean Median Mode - Testing

Mean Median Mode - Source Code

Two Sum

Two Sum - Intro

Two Sum - Code

Two Sum - Testing

Two Sum - Source Code

Binary Search

Binary Search - Intro

Introduction to Recursion & the Call Stack

Binary Search - Code

Binary Search - Testing

Binary Search - Source Code

Fibonacci

Fibonacci - Intro

Fibonacci - Code

Fibonacci - Testing

Fibonacci - Source Code

Memoized Fibonacci

Memoized Fibonacci - Intro

Memoized Fibonacci - Code

Memoized Fibonacci - Testing

Memoized Fibonacci - Source Code

Sieve of Eratosthenes

Sieve of Eratosthenes - Intro

Sieve of Eratosthenes - Code

Sieve of Eratosthenes - Testing

Sieve of Eratosthenes - Source Code

Bubble Sort

Bubble Sort - Intro

Bubble Sort - Code

Bubble Sort - Testing

Bubble Sort - Source Code

Merge Sort

Merge Sort - Intro

Merge Sort - Code

Merge Sort - Animations

Merge Sort - Testing

Merge Sort - Source Code

Max Stock Profit

Max Stock Profit - Intro

Max Stock Profit - Code

Max Stock Profit - Testing

Max Stock Profit - Source Code

Next Steps

Data Structures Coupon

Good to know

Know what's good

, what to watch for

, 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

Reviews summary

Javascript algorithms course

Learners say that this course is great and can be improved by providing more visual sections before transitioning to the code. No negative opinions or notes were found.

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

Show steps

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

Browse courses on JavaScript

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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:

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

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

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

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

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

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

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

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

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

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

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

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

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