Qvault’s Big O Data Structures Course

Big O Data Structures

Learn Big O Data Structures

Learn by doing — A mix of multiple-choice questions and writing code to tackle each lesson’s coding challenge makes for faster learning than you would with videos.

Free tier — Free basic access to all lessons forever. We’ll even hook you up with Pro features on a 7-day free trial.

Learn data structures with Python — Python is one of the world’s most popular languages. Improve your Python skills while increasing your understanding of data structures and algorithmic complexity to write fast applications and systems.

Why should you learn Big O Data Structures?

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Understanding complex data structures unlocks the path to higher-paying programming jobs as a senior developer. Senior devs need to understand algorithmic complexity to write fast applications and systems.

Whether you need to brush up on your data structures skills for a coding interview or to take on a project at work, or want to better understand data structures like linked lists, binary trees and hashmaps, our big O data structures course teaches you everything you need to know, as you code in Python and complete interactive coding lessons and multiple-choice questions.

Stack Overflow’s 2020 report on Python:

$120,000 average salary

Growing in popularity — Most used language for AI and machine learning

Loved by coders — 3rd most loved language

We love Python because it is:

Simple & quick to learn — Python reads like English and lets you get to the meat of the logic faster

Modern — Python 3 is the latest version and it’s what we teach in all our courses

Attractive to employers — Python is still on the rise year over year with more and more companies on board

Still not sold on Python? Check out more of our Python content here

Learn Big O Data Structures with Qvault

75 lessons

75 lessons covering everything from the basics of data structures to stacks, queues, trees, hashmaps, and graphs.

And once you’ve completed it, you earn a free certificate proving your skills.

Learn Big O Data Structures by coding

Lectures are comfortable but don’t get you the interactive coding skills you need.

Each of our lessons features interactive coding challenges or multiple-choice questions.

Learn at your pace

Browser-based. No downloads. No deadlines. Complete autonomy.

Become an experienced programmer with data structures knowledge, all at your own pace.

A Big O Data Structures Course with Certificates

Every course you complete in the Qvault app comes with a downloadable certificate you can share online or attach to a CV. You can even link to your portfolio page so any recruiters can see every course you complete all in one place, like a computer science trophy cabinet.

Why people think we’ve got the best Big O Data Structures course:

jacob jenne testimonial

Jacob Jenne

CTO at Nuvi – Utah, USA

As an employer, it’s important for me to find engineers who understand the core principles of computer science. I need employees who have been exposed to all kinds of data structures and algorithms. Qvault offers these courses in a way that makes it easy to learn and advance.

What you’ll learn in our online Big O Data Structures course

  • What data structures are within big O
  • Lists and list indexing
  • Stack theory, stack classes & implementation
  • Pros and cons with LIFO & FIFO
  • Stacks vs queues and queue class implementation
  • Linked lists and linked list queues
  • Binary search trees
  • Red-black trees
  • Unbalanced vs balanced trees
  • How hashmaps work and hashmap class implementation
  • Graphs and adjacency lists
  • Depth first search and breadth first search

Big O Data Structures – Course Contents

Chapter 1: Introduction to Data Structures

  • What are data structures
  • Lists and list indexing
  • Big O review

Chapter 2: Stacks

  • What is a stack
  • LIFO and stack theory
  • Pros and cons of stacks
  • Stack class and implementation
  • Stack overflow

Chapter 3: Queues

  • Queues vs stacks
  • FIFO
  • Queue class implementation
  • Creating a linked list
  • Linked list queues

Chapter 4: Trees

  • Generic trees
  • Binary search trees
  • Red-black trees
  • Balanced vs unbalanced trees

Chapter 5: Hashmaps

  • What are hashmaps
  • How hashmaps work
  • Hashmap class implementation
  • Implementing a toy hash map
  • Python dictionaries

Chapter 6: Graphs

  • What is a graph & their purposes
  • Graph class implementation
  • Adjacency lists,
  • Depth first search
  • Breadth first search

Frequently Asked Questions

Interested in upgrading to get full access to our Big O Data Structures course, but unsure what that entails?

What’s the difference between Basic and Pro?

A Basic account is, well, basic. You can demo Pro features on the first 6 exercises of each course (such as our Big O Data Structures course). But after that, if you’re on a Basic plan, you’ll only be able to read the course material and play in the code sandbox. You won’t get access to feedback on your code know if you got the right answers.

Qvault Pro has everything in Basic, plus all the advanced tools, content, solutions, and certifications that you need to make your learning faster.

A Pro account lets you practice much more efficiently by getting instant verification of all your code solutions. If you get stuck, you can use the “cheat” feature to take a look at the solution and quickly see what’s holding you up.

Additionally, one of the biggest benefits our Pro subscribers get is access to free certificates of completion when they finish a course. Showing off your work to employers is a quick way to get that high-paying tech job

For a full list of the differences between Pro and Basic, view our Pricing page.

Do you offer any discounts?

Our top priority is improving the courses, the app, and your experience — so your feedback is super valuable to us.

If you’re happy to help us keep improving our courses to be the best they can be, we’re currently offering a 25% discount to anyone who completes this feedback form. When you’re finished with the survey you’ll be given a coupon code!

Do I need to know how to code in Python and Data Structures before signing up?

Our Big O Algorithms course was designed for users to complete lessons coding in Python, so some previous knowledge or experience working with Python is an advantage.

As for data structures, the course starts from the basics of what data structures are, and how they work with Big O. So, even beginners to data structures should be able to complete the course and move on to the more challenging aspects once they understand these basics.

Why should I upgrade to Qvault Pro?

I built Qvault based on the lessons I’ve been learning as a technical hiring manager, so everything we do here is designed to take you from your current level, and get you an eventual high-paying programming job. If you’re ready to accelerate your learning and apply your skills to real-world scenarios, then Qvault Pro is for you.

Aside from the direct benefits, if you like what we’re building here at Qvault, your support helps us improve the platform.

How easy is it to cancel my subscription if I don’t like it?

We do our best to be transparent about pricing, and never want anyone keeping a subscription they don’t use. You can cancel your subscription any time from your settings page and you won’t be billed again.

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Ready to start your journey and learn Big O Data Structures?

Now it’s time for you to start your programming journey, increase your salary, and build the next stage of your career.

Try the first six lessons of our data structures course completely free, and if you’re enjoying it, get full access to all of our courses with a 7-day free trial. Cancel at any time.