VersusCodecademy vs Datacamp: everything you should know

Codecademy vs Datacamp: everything you should know

Codecademy is an online platform for learning that has interactive courses on how to code. It offers a wide range of programming courses in languages like Python, JavaScript, HTML/CSS, and more. Codecademy focuses on hands-on coding exercises and projects that let people practice their coding skills in a guided environment.

On the other hand, DataCamp is an online platform for taking courses in data science and analytics. It has a full curriculum for people who want to learn about data analysis, machine learning, and visualizing data. The courses on DataCamp are designed to teach practical skills in data science using languages like Python and R, with a focus on real-world applications and hands-on exercises.

Codecademy vs Datacamp Pricing

Both Datacamp and Codecademy work on a subscription basis, charge an annual fee, and offer a free basic plan so you can try out the platform before committing. But you can enjoy more than just DataCamp discounts. Customers who pay every month can also cancel their membership at any time. When you keep going, your membership will be automatically renewed, and you won’t lose any progress. This makes learning flexible.

Codecademy vs Datacamp Comparison Table

Course VarietyOffers a wide range of programming languagesFocused on data science and analytics courses
Interactive LearningProvides interactive coding exercisesOffers hands-on coding exercises and projects
Learning PathsOffers curated learning paths and tracksProvides learning tracks for specific skills
PricingSubscription-based model with monthly/yearly plansSubscription-based model with monthly/yearly plans
Free ContentProvides some free courses and resourcesOffers limited access to free courses
Platform ExperienceUser-friendly interface and learning environmentUser-friendly interface and learning environment
Community SupportAccess to a community forum for discussionsAccess to a community forum for discussions
Industry RecognitionWell-known and respected in the coding communityPopular choice for data science and analytics
Data Science FocusOffers some data science courses, but less emphasisStrong focus on data science and analytics
Skill AssessmentProvides quizzes and assessments to test knowledgeOffers skill assessments and challenges
Business/Enterprise PlansOffers business plans for team learningProvides enterprise plans for team learning
Official linkVisit WebsiteVisit Website

Codecademy vs Datacamp Ease of use and Set up

Codecademy vs Datacamp

Codecademy has an easy-to-use interface that leads students through interactive coding exercises. The platform lets you run code right in your browser and gives you step-by-step instructions. With this hands-on method, students can practice coding in a safe setting. Codecademy is also easy to set up. Users just need to create an account and choose a subscription plan to get access to all of the courses and features.

The interface of DataCamp is also designed to make it easy to use. The platform is made for courses in data science and analytics, and it gives users a structured path for learning. DataCamp gives people who want to learn how to code an integrated environment where they can write and run code in real time. Setting up the platform is easy. Users just need to create an account and choose a subscription plan to get access to the course catalog and other features.

Both platforms are made to make learning easier by getting rid of the need to install or set up complicated software. Users can get to the courses and coding environments right from their web browsers. This makes it easier for people to get started and makes setup quick and easy.

Codecademy vs Datacamp Courses & Skills

After you sign up for DataCamp, you can look at its courses, skill tracks, and career paths. The free plan only lets you see the first chapter of each course and the first six courses. If you don’t know how to code at all, you can take a quiz on Codecademy to get started. If you answer eight simple questions, you’ll be pointed in the right direction for different courses and paths.

DataCamp is a website that focuses on data science and analytics. It has more than 350 courses that can help you learn more about data and give you an edge in career paths that involve data science. Codecademy has fewer courses in more than 20 different fields and 15 different programming languages. It is a platform for learning to code, and it also has courses in data science and analytics.

Codecademy vs Datacamp Skill Assessment

Codecademy vs Datacamp

Throughout their courses, Codecademy gives learners quizzes and tests to see how well they know and understand the material. These tests are built into the learning process, so students can try out what they’ve learned and get immediate feedback on how well they did. The tests on Codecademy are meant to reinforce important ideas and help students figure out where they might need more practice or review.

DataCamp also has skill tests and challenges for learners to see how well they know how to use data science and analytics. These tests are made to match the data-focused courses that are offered on the platform. Learners can test their skills and knowledge through coding exercises and challenges that look like real-world data analysis situations. The skill assessments on DataCamp are a great way for learners to test their knowledge, figure out where they need to improve, and keep track of their progress in data science.

Codecademy: Pros and Cons


  • Wide range of programming courses covering various languages.
  • User-friendly interface and easy setup process.
  • Offers some free courses and resources.


  • Limited focus on data science and analytics compared to specialized platforms.
  • Some courses may lack in-depth coverage or advanced topics.
  • Limited access to free content, with most courses requiring a subscription.

Datacamp: Pros and Cons


  • Specialized focus on data science and analytics courses.
  • Extensive curriculum for practical data science skills.
  • Hands-on coding exercises and real-world applications.
  • User-friendly interface and easy setup process.


  • Limited variety of courses outside of data science and analytics.
  • Less emphasis on programming languages outside of Python and R.
  • Relatively higher subscription cost compared to more general programming platforms.
  • Limited free access, with most courses requiring a subscription.

Which one should you consider?

Both Codecademy and DataCamp are popular places to learn online, but they each have a different focus. Codecademy has a wide range of interactive programming courses and exercises, while DataCamp focuses on courses in data science and analytics. Both platforms have easy-to-use interfaces and ways to test skills that help learners track their progress. In the end, deciding between Codecademy and DataCamp comes down to the learning goals and preferences of each person.


Which one is better DataCamp or Codecademy?

This really depends on what you want from a course and platform, but in general, Datacamp is best if you are interested in data science and statistics with a focus on your career. Codecademy, on the other hand, is better for learning the basics of several different programming languages and has a more structured way of teaching.

What is the difference between DataCamp and Codecademy?

Both Codecademy and Datacamp have free versions and paid plans that you pay for each month. You can put your Codecademy subscription on hold or cancel it at any time. Datacamp has plans for both one month and one year. You can put your monthly Datacamp subscription on hold, but you can’t do this with an annual subscription.

Amy Hinckley
Amy Hinckley
The Dell Inspiron 15 that her father purchased from QVC sparked the beginning of her interest in technology. At Bollyinside, Amy Hinckley is in charge of content editing and reviewing products. Amy's interests outside of working include going for bike rides, playing video games, and watching football when she's not at her laptop.
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