In this article, we will talk about Codecademy’s pricing and frequently asked questions.
Codecademy is one of the better-known online learning platforms for learning how to code, mainly because they offer free courses.
It has numerous resources, like important definitions and code syntax, and a vast community stretching from its online forums to Discord, where everyone’s goal is to help each other and learn how to code.
Check out the full list of career paths available here
So, how does one learn with Codecademy?
These online courses are comprised of interactive tutorials and quizzes, you’ll always have to apply what you are learning in real-world projects, which will give you the best hands-on approach to your learning experience.
It is also very easy to browse and find what course might be the most functional to you depending on your topics of interest, like game development or web design, and you will be recommended the appropriate courses that are tailored to these topics. Both free and paid.
You can also explore courses by skill levels, although they only have beginner and intermediate courses. Or, you can browse by skill paths, which are tailored experiences to learn a new specific skill.
What coding languages can you learn with CodeAcademy?
So, is Codecademy free?
Yes and no. Codecademy offers high-quality free courses on most topics mentioned above which will cover the key fundamentals. But, they do not give certificates of completion or professional certificates for free courses, and the number of lessons/duration it takes to complete is substantially shorter than for non-free courses.
How much does Codecademy cost?
Codeacademy divides its pricing into 3 main categories, for individuals, students, and teams.
- Basic Membership: Free
- Plus Subscription: $17.49/mo billed annually (totaling $209.88) or $34.99 billed monthly
- Pro Subscription: $29.99/mo billed annually (totaling $359.88) or $59.99 billed monthly
On the basic membership, which only requires you to create an account with them, you will have access to free courses, and learning resources, but you’ll have limited use of the practice exercises on their mobile app.
The key difference between the Plus and the Pro plans is that the pro subscription grants you access to career paths, as well as other benefits like access to Code Challenges, Career services, and a Professional certificate.
Students in an institution that will earn them a degree (like a university or community college) will have the opportunity to get the Pro plan for 50% less than regular individuals so around $179.94 and can only be billed annually. Please note that you’ll have to undergo a verification process in other to be approved for this plan.
The team pricing page indicates that teams will cost $299 per user yearly, and for enterprises, you must reach out directly for a quote. Please note that no distinction in the number of users required for each is made on their website, and would be wise to reach out to them directly before considering any purchases.
Is Codecademy free to use?
Codeacademy offers free courses and paid ones. if you are interested in getting started but don’t really know if you’ll be able to commit, or if self-learning is for you, maybe give the free courses a try first. It will serve as a good introduction anyway if you end up wanting to proceed with your studies in the platform, and most programming languages have a free course available.
Is Codecademy really worth it?
If you are good with self-learning, then yes. It is the most satisfying platform to learn how to code that I have tried and with all the newly added resources and tools even more so. Coding courses can be something extremely daunting to tackle, especially with all the fearmongering there is online about “not everyone can be a good coder”, if you care and you are disciplined Codecademy is an amazing way to get into coding or change career paths.
Is Codecademy’s pro membership worth it?
If you are really serious about learning and want to enroll in a career path then yes.
What are some alternatives to Codeacademy?
Freecodecamp we would say is Codecademy’s main competitor. They have over 9,000 tutorials where they walk you through the fundamentals of coding to more advanced topics. The only main issue I had with the tutorials was that if you got stuck it was hard to figure your way out, even when looking at the support forums with precise instructions (maybe I’m not very smart…). Coursera, Udemy, and other online learning platforms also offer courses to improve your coding skills or to help you become a software engineer. For example, IBM DevOps and Software Engineering Professional Certificate by Coursera, or The Complete 2023 Web Development Bootcamp by Dr. Angela Yu at Udemy.
Codecademy Courses Overview
Currently, they have 13 career paths available and they are as follows (in no specific order):
What does a Machine learning specialist do?
A Machine Learning Specialist is responsible for analyzing and interpreting complex data sets to extract meaningful insights and patterns. They develop and implement machine learning models and algorithms to solve real-world problems. They work closely with cross-functional teams to identify business challenges and develop data-driven solutions. Additionally, they are skilled in programming languages and statistical tools to manipulate and analyze data efficiently.
What does an Analytics Specialists do?
Data Scientist: Analytics Specialist focuses on analyzing and interpreting data to derive insights and make data-driven decisions. They may use statistical methods, data visualization, and data exploration techniques to extract valuable information from the data.
What do Computer Scientists do?
They work on designing and creating computer programs, software, and applications to solve problems and perform specific tasks. Computer scientists also research new computing technologies, algorithms, and ways to improve computer systems and processes. They play a crucial role in shaping the digital world we live in, contributing to advancements in various fields like artificial intelligence, cybersecurity, data analysis, and more.
What do Computer Scientists do?
An iOS developer is a software engineer who specializes in creating applications for Apple’s iOS operating system, which powers devices like iPhones and iPads. They use programming languages like Swift and Objective-C to write the code that brings these applications to life. Their role involves designing and developing user-friendly and intuitive interfaces, implementing functionality and features, and troubleshooting issues to ensure smooth performance.
A Data Scientist: Inference Specialist is responsible for drawing meaningful insights and conclusions from data. They analyze large datasets using statistical techniques and machine learning algorithms to identify patterns, trends, and correlations. Their role involves applying statistical inference methods to make predictions and draw conclusions about populations based on sample data. They communicate their findings to stakeholders and help guide decision-making processes based on data-driven insights. Inference Specialists play a crucial role in leveraging data to make informed business decisions and drive strategic initiatives.
I personally would not classify this path as a “career path”, but it is offered as one, and the gist of the course is that it would introduce you to the basic concepts of coding in Data Science Computer Science or Web development so you can make a more informed decision when you are choosing your preferred career.
What do Fullstack Engineers do?
What do front-end engineers do?
What do back-end engineers do?
A Backend Engineer is responsible for the behind-the-scenes functionality of a website or application. They work on the server-side of the software, handling data storage, retrieval, and processing. Backend Engineers use programming languages like Python, Java, or Ruby to build the logic and functionality that supports the user interface created by front-end developers. Their role involves managing databases, APIs, and server infrastructure to ensure the smooth operation and performance of the application.
What do business intelligence data analysts do?
A Business Intelligence Data Analyst is responsible for gathering and analyzing data to help businesses make informed decisions. They work with large datasets, extracting valuable insights and trends. They use tools and techniques to clean, transform, and organize data for analysis. Business Intelligence Data Analysts create visualizations and reports to present findings to stakeholders and help them understand complex data. Their role is crucial in helping businesses improve efficiency, identify opportunities, and make data-driven decisions.
11. Data Engineer
What do Data engineers do?
A Data Engineer is responsible for designing, building, and maintaining the infrastructure that supports data storage and processing. They work with large volumes of data, ensuring its accuracy, reliability, and availability. Data Engineers develop and maintain data pipelines, extracting data from various sources and transforming it into a usable format. They collaborate with Data Scientists and Analysts to ensure data is accessible for analysis and reporting.
What do data scientists who specialize in natural language processing do?
A Data Scientist specializing in Natural Language Processing (NLP) focuses on teaching computers how to understand and process human language. They develop algorithms and models that enable machines to analyze and interpret text or speech data. NLP Specialists work on tasks like sentiment analysis, language translation, and chatbot development. They use techniques like machine learning and deep learning to extract meaningful insights from textual data. Their work helps improve communication between humans and machines, making it easier for computers to understand and respond to human language.
What do machine learning specialists do?
A Machine Learning/AI Engineer is responsible for developing and implementing machine learning algorithms and AI models to solve complex problems. They work with large datasets to train and optimize models that can make accurate predictions or decisions. These engineers focus on creating systems that can learn from data and improve their performance over time. They use programming languages like Python and tools like TensorFlow or PyTorch to build and deploy machine learning models.
Skill Paths Available at Codecademy:
- 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
- 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
- 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
If you are interested in becoming a Java Developer, Data Analyst or IT Support Specialist, Check out our review on Merit America