Computer Science
Looking for an introduction to the theory behind programming? Master Python while learning data structures, algorithms, and more!
Includes Python, Command Line, Git, Data Structures, and more.
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Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary75 hoursProjects
36Prerequisites
None
About this career path
Interested in the fundamentals of computer science with Python? This path offers a flexible and accessible method for learning computer science whether you’re interested in studying CS or looking to level up your theoretical knowledge for technical screens.
Syllabus
6 units • 82 lessons • 36 projects • 70 quizzes- 1
CS100: Getting Started with the Computer Science Career Path
Kickstart your coding life as you learn all about the programming language Python, and the techniques used when writing it.
- 2
CS101: Introduction to Programming
Keep going with Python and learn about its built-in data structures.
- 3
CS102: Data Structures and Algorithms
Learn about virtualization of computer memory by building the fundamental data structures of computer science: lists, stacks, and queues.
- 4
CS103: Databases
Learn how data is stored using PostgreSQL, a popular relational database management system.
- 5
CS104: Computer Architecture
Learn about the rules, organization of components, and processes that allow computers to process instructions.
- 6
CS105: Discrete Math
Learn about discrete math, the math of computer science!
Professional certification available with Pro
Pass all exams to prove your expertise and earn a professional certification.
Take your skills into the real world with projects
Practice new skills, connect concepts, and put it all together to create something of your own.- portfolio Project
Python Terminal Game
During this project, you will research, brainstorm, and build a Python terminal game of your choice for your friends and family to play. You'll use Git, Command Line navigation, and all of the Python tools you learned about in the Computer Science path! - portfolio Project
Recommendation Software Project
In this project, you'll use your understanding of data structures and algorithms (specifically searching algorithms) to create a recommendation system. In this project, we'll use Git to store our code. - portfolio Project
A Complete Database
It's time to combine all of your PostgreSQL knowledge to design and implement a database that is secure, fast, and useful to your users! You will need to work locally on your own computer. We’ll provide you with high-level tasks to guide your project to completion, but you will be responsible for deciding how to implement them in your code. There are many possible ways to correctly fulfill all of these requirements, and you should expect to use the internet, Codecademy, and other resources when you encounter a problem that you cannot easily solve. Note that there are hints that can assist you, but they will only provide one potential implementation. Do not worry if your project looks different from ours!
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Earn a professional certification
Prove your expertise to yourself — and prospective employers by passing all certification exams in this career path. Easily share your certifications with your network — and prospective employers.- Demonstrate your expertiseProvide evidence of competency and mastery of your chosen subject to employers.
- Take industry standard assessmentsYour skills are assessed through a rigorous exam process based on industry standard core competencies.
- Skip ahead to the examDon't waste time learning what you already know — go straight to taking a certification exam.
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See how well your skills and experience match the job postings you’re interested in. Our job-readiness checker uses artificial intelligence to show you what you need to work on to qualify for a role.Try it outFrequently asked
Career paths teach you exactly what you need to start a new career. Curated by our team of experts, career paths contain a collection of courses, projects, prep for technical interviews, and more. By the end, you’ll be ready to start interviewing for entry-level jobs in the career of your choice.
Everything you need for a Computer Science career
- Job-readiness checkerUse AI to evaluate how well your skills and experience meet the requirements of a job posting.Powered by AI
- Portfolio projectsApply what you're learning to create recruiter-ready projects for your portfolio.
- Interview simulatorUse AI to identify strengths and see how to improve your interviewing skills to land your dream tech job.Powered by AI
- Job listingsGet personalized job postings, connect with employers hiring tech talent, and easily apply for open roles.
Start your new career faster
Learn the skills
This expertly curated career path gives you all the knowledge and experience you need to start this career.Prep for interviews
Assess if you're ready to apply for jobs, then build your confidence with code challenges and practice questions.Get hired
Showcase your skills with a Codecademy professional certification and connect with employers directly.
Get a career in Computer Science
Start my career changeLooking for something else?
Related resources
- Article
What is Python?
What is Python, and what can it do? - Article
Programming in Python on a Chromebook
This article will teach you how to run Python code on Chromebooks so you can do off-platform Python projects on your Chromebook. - Article
Installing Python 3 and Python Packages
Learn how to install Python packages and download Python 3 with Anaconda and Miniconda on Mac and Windows.
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