Byte-Sized-Chunks: Stacks, Queues, Binary Trees, Heaps

A visual way to master basic data structures for strong fundamentals!

What's Inside

Course Description

This is an animated, visual and spatial way to learn data structures and algorithms

  • Our brains process different types of information differently - evolutionarily we are wired to absorb information best when it is visual and spatial i.e. when we can close our eyes and see it
  • More than most other concepts, Data Structures and Algorithms are best learnt visually. These are incredibly easy to learn visually, very hard to understand most other ways
  • This course has been put together by a team with tons of everyday experience in thinking about these concepts and using them at work at Google, Microsoft and Flipkart

What's Covered:

  • Big-O notation and complexity
  • Stacks
  • Queues
  • Trees
  • Heaps

Talk to us!

Mail us about anything - anything! - and we will always reply :-)

What are the requirements?

  • Basic knowledge of programming is assumed, preferably in Java

What am I going to get from this course?

  • Over 23 lectures and 5.5 hours of content!
  • Design and implement software that use fundamental data structures
  • Visualise - really vividly imagine - the common data structures, and the algorithms applied to them
  • Understand the trade-offs, complexity and use-cases for different types of container data structures

What is the target audience?

  • Nope! Please don't enroll for this class if you have already enrolled for our 15-hour course 'From 0 to 1: Data Structures and Algorithms'
  • Yep! Computer Science and Engineering grads who are looking to really visualise data structures, and internalise how they work
  • Yep! Experienced software engineers who are looking to refresh important fundamental concepts

Get started now!



14+ Students
23 Lectures
0+ Hours of Video
Lifetime Access
24/7 Support
Instructor Rating
Loonycorn

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertises at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

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