Welcome to the Treehouse Library
This is a sample catalog of all the courses we offer. Browse by topic or difficulty. Sign up today and get access to our entire library. Treehouse students get access to workshops, bonus content, conferences, and more.
Ready to start learning?
Treehouse offers a 7 day free trial for new students. Get access to 1000s of hours of content. Learn to code, land your dream job.
Start Your Free Trial- Newest
-
All Topics
- All Topics
- • AI
- • JavaScript
- • Databases
- • Python
- • Design
- • React
- • HTML
- • CSS
- • Data Analysis
- • Java
- • C#
- • Android
- • Computer Science
- • PHP
- • Quality Assurance
- • APIs
- • Security
- • Digital Literacy
- • Development Tools
- • Business
- • 21st Century Skills
- • Ruby
- • Machine Learning
- • Learning Resources
- • Go Language
- • Equity, Diversity, and Inclusion (EDI)
Computer Science
Computer Science has provided the foundation that all modern programming languages are built on. Understanding algorithms and data structures will not only help you make your applications run faster, it will open new doors in your development career.
-
6 hoursBonus Series
Treehouse Guest Speaker Series
Treehouse Guest Speaker Series is an ongoing live event hosted by Treehouse staff. In this series experts working in the field offer advice on how to transition into tech. Want advice on how to nail a technical interview? Need to stand out to tech recruiters? Have the desire to improve your practical skills? This is the series for you!
Viewed -
14 hoursConference
Treehouse Festival June 2021
Treehouse Festival is an online conference designed for Treehouse students and all aspiring developers and designers. The presentations will empower those that attend with skills and a network to transition to a tech career or level-up in their current roles. Sessions include “Designing with a Developer Mindset,” “Computer Science, Emulation, and the NES,” “Interview with a Treehouse Grad”, and more!
Viewed -
20 minWorkshop
Hello Computer Science
In this workshop, students are introduced to fundamental Computer Science (CS) concepts. This workshop unpacks the history of computer science, defines key terms, and identifies common elements across multiple disciplines.
Viewed -
12 hoursConference
Treehouse Festival December 2020
Treehouse Festival is an online conference designed for Treehouse students and all aspiring developers and designers. The presentations will empower those that attend with skills and a network to transition to a tech career or level-up in their current roles. Sessions include “Designing with a Developer Mindset,” “Computer Science, Emulation, and the NES,” “Interview with a Treehouse Grad”, and more!
Viewed -
12 hoursConference
Treehouse Festival July 2020
Treehouse Festival 2020
Viewed -
- 1
- 2
Algorithms: Sorting and Searching
This course will look at algorithms in two categories: sorting and searching. We'll implement well-known sorting algorithms like selection sort, quicksort, and merge sort. You'll also learn basic search algorithms like sequential search and binary search.
-
- 1
- 2
- 3
- 4
Introduction to Data Structures
In computer science a data structure is a construct that allows us to organize and store data in our programs. In this course we're going to learn about two introductory data structures - arrays and linked lists! We'll look at common operations and how the runtimes of these operations affect our everyday code. For the rest of the course we're going to bring our knowledge of algorithms and data structures together to solve the problem of sorting data using the merge sort algorithm
-
- 1
- 2
- 3
- 4
Introduction to Algorithms
Algorithms are a fundamental topic in computer science, power many of the largest companies today and are used in making many decisions that affect our day to day lives - in obvious places like Google's PageRank algorithm to more obscure use cases like national security and local policing. In this introductory course, we're going to take our first steps towards understanding the world of algorithms and data structures. Before we can study individual algorithms we're going to spend time learning how to evaluate algorithms, how to make comparisons and how to develop algorithmic thinking
Whoops! Perhaps you can try a broader search.