Data Structures: An Illustrative Introduction
Requirements
- Basic programming experience needed
Description
Data Structures are an essential topic for developers. All kinds of software and programs we write heavily rely on data and data structures in one way or another. Having a good understanding of data structures is going to be helpful in building robust applications.
In this free illustrated course, you will learn everything you need to know about Data Structures. We will start with the introduction to the data structures, understanding what they are, why we need them, what are the most common data structures and why picking the right data structure is important. With that out of the way, we will learn about the common data structures i.e. Arrays, Linked Lists, Stacks, Queues, Hash Tables, Trees, Heaps, and Graphs. For each of these data structures, we will first learn what the data structure is about, we will look behind the scenes to understand how it works, we will understand the common operations which can be performed on the given data structure, common use cases, and the complexity of different operations on that data structure.
This course also comes with an extra video to give you an introduction to algorithms, algorithmic complexities, common algorithmic complexities, and a comparison between each.
Who this course is for:
- Beginner to intermediate developers willing to learn about the data structures
Instructor
Kamran is an experienced developer with more than 10 years of experience working on large-scale enterprise solutions.
Kamran has a deep love for open-source, teaching, and mentorship. He is a Google Developer Expert, a GitHub Star, and a creator and maintainer of several famous OpenSource projects used by millions of developers. He is quite active on GitHub, which has accumulated around 250k stars on his projects. One of his projects is among the top ten most starred projects on GitHub.
He loves teaching and has a youtube channel with more than 130k subscribers, where he makes videos on various software development topics.