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Learning JavaScript Data Structures And Algorithms

Learning JavaScript Data Structures And Algorithms


This practical course will guide you through a web application development cycle using a structured and disciplined approach, focusing on accuracy and efficiency as you build quality software.

Overview

Description
Find out how data structures and algorithms can be used to solve programming problems using JavaScript.

As businesses collect increasing amounts of vital data, the need to structure software components increases every day. Using appropriate data structures and having a good understanding of algorithm analysis is key to writing maintainable and extensible quality software, thus solving the crisis.

Learning JavaScript Data Structures and Algorithms will show you how to organize your code with the most appropriate data structures available to get the job done fast, and in a logical way that is easy to maintain, refactor, and test. By using effective data structures, you can take advantage of advanced algorithms, thus making your web applications more powerful and scalable. You will learn about common software engineering data structures, such as linked-lists, trees, and graphs, and get to know how to implement them in JavaScript. You’ll also master ways to use them in various types of algorithms.

You will begin by finding out how to build on native JavaScript constructs, and create collections such as maps, queues, stacks, sets, graphs, and other data structures. You will then discover how to develop, analyze, and improve algorithms to search deep trees, lists, and other complex collections, as well as sorting containers of data.

This practical course will guide you through a web application development cycle using a structured and disciplined approach, focusing on accuracy and efficiency as you build quality software.

About The Author

Rodrigo Formigone Silveira is a software engineer at Deseret Digital Media. There, he divides his time developing in PHP, JavaScript, and Java for Android. Some of his hobbies outside of work include blogging and recording educational videos about software development, learning about new technologies, and finding ways to push the web forward.

Rodrigo received his Bachelor's of Science in Computer Science from Brigham Young University, Idaho, as well as an Associate's Degree in Business Management from LDS Business College in Salt Lake City, Utah.

His fascination for game development began in his early teenage years, and his skills grew as he discovered the power of a library subscription. He has a curious and willing mind, with understanding and supporting parents and friends.

Today, Rodrigo balances his time between the three great passions of his life-his family, software development, and video games (with the last two usually being mingled together).

Basic knowledge
The course does not talk about graph theory, set theory, and other advanced mathematical concepts, so no prior knowledge of advanced mathematical concept is necessary

Course Information

The course does not talk about graph theory, set theory, and other advanced mathematical concepts, so no prior knowledge of advanced mathematical concept is necessary

Master existing JavaScript collections such as arrays, sets, and maps
Develop abstract data types to extend JavaScript into a more flexible and powerful programming language
Grasp the basics of software engineering to differentiate yourself from undisciplined coders
Conjure powerful algorithms to traverse dense graphs and trees in the least possible steps
Devour the science of comparing different algorithms to choose the best one for the respective task
Search and sort native and custom data types through collection iterator methods
Create complex abstract data types by reusing existing classes

If you are a web developer with a good grasp of the fundamentals of JavaScript, and you are confident with the essentials but want to delve deeper and understand data structures and algorithms, then this course is for you.

• Lifetime Access to Each Course
• Certificate on Completion of Course
• No Extra Charges Or Admin Fees
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• High Priority Support After Sales.
• Big Discounts on Individual Courses

Course Specifications

IT and Computing courses are available to study on our learning platform. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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