Learning Data Structures in JavaScript from Scratch from Udemy

This course teaches data structures (linked lists, binary search trees, hash tables) from the ground up. Data structures allow you to improve the efficiency, performance, speed, and scalability of your code/programs/applications. You will learn what data structures 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 recursion, time complexity, the "this" keyword, the prototype object, and constructor functions, since data structures use these concepts by their very nature. This course 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 data structures 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 data structures will help you to excel in technical interviews.

What's inside

Learning objectives

Code out important data structures 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
Manipulate data structures in your own, custom, ways for whatever suits your needs

Code out important data structures 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
Manipulate data structures in your own, custom, ways for whatever suits your needs

Syllabus

Introduction to Data Structures and Important Concepts

What Are Data Structures and Why Are They Important?

Constructor Functions and the "this" Keyword

The Prototype Object

Linked Lists

What is a Linked List?

Linked List and "Node" Constructor Functions

Add To Head - part 1

Add To Head - part 2

Using Add To Head

Add To Tail

Testing Add To Tail and Add To Head

Remove Head

Remove Tail

Search Method

Testing Search

Linked List - Independent Exercise

Linked List - Exercise Review

Big O Notation and Calculating the Runtime of a Function

Big O Notation & Runtime Source Code

Linked List Wrap-Up

Linked List Source Code

Binary Search Trees

What is a Binary Search Tree?

Recursion - part 1

Recursion part 2 and the Call Stack

Insert Method

Testing Insert

Contains Method

Testing Contains

Depth First Traversal - In-Order

Testing Depth First Traversal In-Order

Refactoring Depth First Traversal Method

Depth First Traversal - Pre-Order

Testing Depth First Traversal Pre-Order

Depth First Traversal - Post-Order

Breadth First Traversal - part 1

Breadth First Traversal - part 2

Testing Breadth First Traversal

Binary Search Tree - Independent Exercise

Binary Search Tree - Exercise Review

Binary Search Tree Wrap-up

Binary Search Tree Source Code

Hash Tables

What is a Hash Table?

Hash Table and Hash Node Constructor Functions

CharCodeAt Method and Modulus Operator

Hash Method

Testing Insert Method

Refactoring Insert Method

Testing Refactored Insert Method

Get Method

Testing Get Method

Hash Table - Independent Exercise

Hash Table - Exercise Review

Hash Table Wrap-up

Hash Table Source Code

Next Steps

JavaScript Algorithms Course Coupon

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches data structures, which is standard in industry

Improves performance of code, applications, and programs

Suitable for aspiring programmers and engineers

Strengthens interviewing skills for technical roles

Develops practical skills for manipulating data structures

Requires students to have a foundational understanding of programming

Focuses on technical programming concepts

Reviews summary

Introductory data structures in javascript

learners say they enjoyed this introductory course that provides a strong understanding of basic JavaScript data structures. Students favored the instructor's engaging delivery of the materials.

The instructor presents the information in a way that keeps learners interested.

"Great course, I was pleased a lot with the manner of the teaching and the information deliverance"

The course could benefit from more practical assignments.

"It would be good if it would be more practical exercises with arrays and object included"

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 Data Structures in JavaScript from Scratch with these activities:

Review basic computer programming and data structures

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Reviewing basic programming and data structures can refresh your memory and strengthen your understanding of foundational concepts.

Browse courses on Programming Fundamentals

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Go over your notes from any previous programming or data structures course
Retake practice quizzes on basic programming and data structures
Complete online tutorials on basic programming and data structures

Join a study group or participate in online forums

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Engaging with other students or professionals can provide support, different perspectives, and opportunities for knowledge sharing.

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Find a study group or online forums related to data structures
Actively participate in discussions and ask questions
Share your knowledge and collaborate with others

Practice coding data structures in JavaScript

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Regular practice coding data structures helps strengthen your understanding and builds proficiency in using JavaScript.

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Find online coding challenges or practice exercises
Code out data structures such as linked lists, binary search trees, and hash tables
Test your code and debug any errors

Four other activities

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Create a blog post or video tutorial on a specific data structure

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Creating content forces you to synthesize your knowledge, strengthen your understanding, and potentially benefit others.

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Choose a specific data structure to focus on
Research and gather information on the data structure
Create a blog post or video tutorial explaining the data structure, its applications, and how to use it
Publish and share your content

Follow tutorials on advanced data structures and algorithms

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Exploring advanced data structures and algorithms can broaden your knowledge and enhance your problem-solving skills.

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Identify areas where you want to improve your knowledge
Find reputable online tutorials or courses on advanced data structures and algorithms
Follow the tutorials, take notes, and complete any practice exercises
Apply what you've learned to your own projects or coding challenges

Build a personal project that utilizes data structures

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Applying data structures in a real-world project solidifies your understanding and fosters practical implementation skills.

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Identify a problem or idea that can be solved using data structures
Design and plan your project
Implement your project using appropriate data structures
Test and debug your project
Deploy or share your project

Participate in coding competitions or hackathons

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Participating in coding competitions or hackathons challenges you to apply your skills in a competitive environment, fostering growth.

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Find coding competitions or hackathons that align with your skill level
Form a team or participate individually
Prepare by practicing data structures and algorithms
Attend the event and actively participate

Career center

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

Algorithms Engineer

An Algorithms Engineer develops and optimizes algorithms for a wide range of applications. This role requires a deep understanding of data structures and their performance characteristics. This course will provide you with the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Algorithms Engineer

Technical Interviewer

A Technical Interviewer interviews and assesses candidates for technical positions. They need to have a strong understanding of data structures and algorithms in order to evaluate candidates' technical skills. This course will help you build the skills you need to succeed in this role.

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Software Architect

A Software Architect designs, maintains, and implements an organization's software. Understanding data structures, their efficiency, and time complexities will help you excel as a Software Architect. This course will help build a foundation in these areas that you can use to grow your skills and career in Software Architecture.

See salaries and explore the career path for Software Architect

Web Developer

A Web Developer designs and implements websites and web applications. They need to have a strong understanding of data structures and algorithms in order to develop efficient and reliable web applications. This course will help you build the skills you need to succeed in this role.

See salaries and explore the career path for Web Developer

Software Engineer

A Software Engineer designs, develops, and maintains software systems. They need to have a strong understanding of data structures and algorithms in order to develop efficient and reliable software systems. This course will help you build the skills you need to succeed in this role.

See salaries and explore the career path for Software Engineer

Software Developer

A Software Developer designs, implements, and maintains software applications. They need to have a solid understanding of data structures and algorithms in order to develop efficient and reliable software. This course will help you build the skills you need to succeed in this role.

See salaries and explore the career path for Software Developer

Computer Programmer

A Computer Programmer writes and maintains computer programs. They need to have a strong understanding of data structures and algorithms in order to develop efficient and reliable programs. This course will help you build the skills you need to succeed in this role.

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Application Developer

An Application Developer designs and implements software applications. They need to have a strong understanding of data structures and algorithms in order to develop efficient and reliable software applications. This course will help you build the skills you need to succeed in this role.

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Front-End Web Developer

A Front End Web Developer implements and designs user interfaces for websites and applications. Having a strong foundation in data structures and how to manipulate them is very helpful for Front End Web Developers, especially those that work on dynamic and complex web apps. This course will help you to build this foundation.

See salaries and explore the career path for Front-End Web Developer

Full-Stack Web Developer

A Full Stack Web Developer designs and implements both the front end and back end of web applications. They need to have a strong understanding of data structures and algorithms in order to develop efficient and reliable web applications. This course will help you build the skills you need to succeed in this role.

See salaries and explore the career path for Full-Stack Web Developer

Systems Analyst

A Systems Analyst designs and implements computer systems. They need to have a strong understanding of data structures and algorithms in order to develop efficient and reliable systems. This course will help you build the skills you need to succeed in this role.

See salaries and explore the career path for Systems Analyst

Database Administrator

A Database Administrator manages and maintains databases. They need to have a strong understanding of data structures in order to design and implement efficient databases. This course will help you build the skills you need to succeed in this role.

See salaries and explore the career path for Database Administrator

Data Engineer

A Data Engineer designs and implements data pipelines and data warehouses. They need to have a strong understanding of data structures and algorithms in order to develop efficient and reliable data pipelines and data warehouses. This course will help you build the skills you need to succeed in this role.

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Data Scientist

A Data Scientist uses data to solve business problems and develop solutions. A strong understanding of data structures is essential for Data Scientists, as they need to be able to efficiently store and retrieve data for analysis. This course will help you build the skills you need to succeed in this role.

See salaries and explore the career path for Data Scientist

Business Analyst

A Business Analyst analyzes business processes and develops solutions to improve efficiency and productivity. They need to have a strong understanding of data structures and algorithms in order to develop efficient and effective solutions. This course may be helpful for Business Analysts who want to develop their technical skills.

See salaries and explore the career path for Business Analyst