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Learning JavaScript Data Structures and Algorithms

Features Includes:
  • Self-paced with Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App

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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

What will you learn
  • 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
Course Curriculum
Number of Lectures: 15 Total Duration: 01:23:11
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