MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch

Genre: eLearning | Language: English + .VTT | Duration: 14 hours | Size: 6.10 GB

Learn the fundamentals of computer programming using JavaScript data structures

What you'll learn

Learn fundamental concepts of Data Structures and Algorithms

Learn to implement popular data structures in JavaScript

Learn how data structures are used for creating software

Requirements

Basic knowledge of JavaScript is required for completing this course

Description

If you want to be a good programmer or want to build good software, then the knowledge of data structures and their role in software development becomes essential. Data Structure is basically a process for collecting and organizing the data in the best way possible for performing operations efficiently. They form the fundamentals of computer science. With a good understanding of data structure, we master the way of organizing and storing data for a specific purpose. This course is aimed for helping you understand the core concepts behind these data structures and how they are used to build algorithms that solve business problems.

Why this course is important?

This course gives insight into the data science and algorithms in JavaScript covering all the essential topics. It unfolds with the basic introduction, then covers all the aspects of arrays such as arrays vs lists, common array iterations, array functions and others. Following this, lists, big o time space asymptomatic analysis, linked lists and stacks are also covered in details. Lastly, introduction to queues, its implementation, various aspects of recursion, trees, hash maps and graphs are also covered for the complete understanding of data science and algorithms.

This course includes-

1. Introduction to the data structure

2. Arrays, common array comparisons, array functions, searching arrays, 2d arrays, iterating over 2d arrays, Minesweeper challenge, minesweeper solution and others

3. Lists, implementing list push, implementing list remove and so on

4. Big o time space asymptomatic analysis- its introduction, big o of n squared, no constants, big o challenge and big o solution

5. Linked lists, coding linked lists, linked list class, remove at index and add at index

6. Stacks- introduction, implementation, stack out of linked list, stack out of array, condense challenge and others

7. Queues, recursion, trees, hash maps, graphs and much more important things!

Get started with this course now to learn data structures and algorithms for acing any job interview or building better software!

Who this course is for:

Anyone who wants to learn software engineering will find this course very useful

Learn to build better software with conceptual understanding of the fundamental data structures.