This course is the first of a series. In this part, we'll be focusing on linear data structures. Part 2 is all about trees and graphs. Part 3 is about searching, sorting and string manipulation algorithms.
Here's what you're going to learn in the first part:
The Big O notation
This is the most comprehensive data structures and algorithms series online. Every example and exercise is picked from popular interview questions asked by Google, Microsoft, Amazon and other big companies.
Linked Lists (54 m)
Stacks (42 m)
Queues (53 m)
Hash Tables (68 m)
Ace your coding job interview. Learn to write better and faster code.
Boost Your Employability
Studied Computer Science - but never really understood the complex topic of data structures and algorithms?
Or maybe you’re a self-taught programmer, with little to no knowledge of this important topic.
Or perhaps you failed a job interview because you couldn't answer basic data structure and algorithm questions.
Data structures and algorithms are patterns for solving problems. Developers who know more about data structures and algorithms are better at solving problems.
That’s why companies like Google, Microsoft and Amazon, always include interview questions on data structures and algorithms. They want to assess your problem-solving skills. They don't care how many programming languages and frameworks you're familiar with
By the end of this course…
You’ll be able to: