Codecademy offers two types of Paths: Skill Paths and Career Paths. Paths help you know exactly what to take and in what order to build out your skillset or develop foundational domain knowledge. Whether you want to learn a specific skill (build a website) or develop in-depth knowledge for a career field (data science), Paths can help you get there.
Each Path contains a curated set of lessons, quizzes, and projects that are outlined in a set of clear milestones. Additionally, Paths are self-paced and flexible, so you can learn in at whatever pace is best for your lifestyle and time commitment.
We currently offer two types of Paths:
Skill Paths (available to Pro and Plus subscribers):
- Build a Website with HTML, CSS, and Github Pages
- Analyze Data with SQL
- Create a Front-end App with React
- Analyze Data with Python
- Build a Machine Learning Model with Python
- Create a Back-end App with JavaScript
- Visualize Data with Python
- Analyze Financial Data with Python
- Create Video Games with Phaser.js
- Build Chatbots with Python
- Develop Basic Android Apps with Java
- Analyze Data with R
- Build Python Web Apps with Flask
- Build Web Apps with ASP.NET
- Pass the Terminal Interview with Javascript
- Design Databases with PostgreSQL
- Build Deep Learning Models with Tensorflow
- Master Statistics with Python
- Securing Express Applications
- Data Analyst Interview Preparation
- Data Scientist Interview Preparation
- Fundamental Math for Data Science
- Create REST APIs with Spring & Java
Career Paths (available to Pro subscribers):
- Data Scientist: Machine Learning Specialist
- Data Scientist: Analytics Specialist
- Computer Science Path
- iOS Developer
- Data Scientist: Inference Specialist
- Full Stack Engineer Path
- Front-End Engineer Path
- Back-End Engineer Path
- Business Intelligence Data Analyst
- Data Engineer
- Data Scientist: Natural Language Processing Specialist
- Machine Learning/AI Engineer Career Path
To learn more about Pro and Plus and how to gain access to these different Path types, please see here.