DataCamp vs Codecademy: A Comprehensive Comparison

DataCamp vs Codecademy: A Comprehensive Comparison

When it comes to online learning, there are plenty of options to choose from. Two popular platforms in the field of coding and data science are DataCamp and Codecademy. Both offer a wide range of courses and resources for individuals looking to improve their skills and advance their careers. However, there are some key differences between the two platforms that may make one a better fit for your learning needs than the other. In this article, we’ll take a detailed look at DataCamp and Codecademy and compare their features, pricing, and overall user experience.

Datacamp vs Codecademy main differences

  1. Course offerings: Datacamp offers a wide range of courses in data science, including programming languages such as R and Python, while Codecademy focuses on coding and web development.
  2. Learning format: Datacamp offers interactive coding exercises, while Codecademy uses a more traditional format of video lectures and quizzes.
  3. Pricing: Datacamp has a monthly or annual subscription model, while Codecademy offers a free version and a premium version with more features.
  4. Project-based learning: Datacamp offers a variety of projects to apply the skills learned in the courses, while Codecademy focuses mainly on the learning of the concepts.
  5. Community: Codecademy has a large community of learners where users can connect and collaborate, while Datacamp has a smaller community.
  6. Certifications: Datacamp offers certifications for some of its courses, while Codecademy does not offer any certifications.
  7. Mobile App: Codecademy has a mobile app, whereas Datacamp does not.
  8. Support: Codecademy has a more comprehensive support system, including a help center and live chat, while Datacamp has a support center and email support.

Ultimately, the choice between Datacamp and Codecademy will depend on the specific skills you want to learn, your preferred learning format and the type of support you need.

DataCamp vs Codecademy Pricing

DataCamp offers a Basic (free) plan and a Premium plan for individual learners. The Basic plan is limited and only gives access to 6 free courses and the first chapter of each course, while the Premium plan provides full access to all courses and can be paid monthly at $39 or annually at $300 (equivalent to $12.42 per month). In addition to its individual subscription plans, DataCamp also offers Team and Enterprise plans.

Similarly, Codecademy offers subscription plans that can be paid for monthly or annually. The Basic plan is free, followed by the Pro Lite plan which focuses on learning a specific skill with paths and projects for $29.99 per month or $179.88 per year (equivalent to $14.99 per month). The Pro plan is for individuals looking to develop their careers with courses and interview preparation for $39.99 per month or $239.88 per year (equivalent to $19.99 per month). Codecademy also offers a Team plan, which includes a 2-week free trial.

DataCamp offers a free trial, after which individual monthly or annual subscriptions are available. They also offer a group subscription for businesses and organizations. Codecademy offers a free version with limited access to content and features, as well as a Pro version with additional resources and support for $19.99/month or $199.99/year.

In this comparison, we will take a detailed look at the features and benefits of DataCamp and Codecademy to help you determine which platform is the best fit for your learning needs.


DataCamp offers a wide range of courses in data science, statistics, and programming. Their course offerings include both interactive coding exercises and video lectures, with a strong emphasis on hands-on learning. They offer courses in R, Python, SQL, and more. They also provide a variety of career tracks, such as Data Analyst in R and Data Scientist in Python, which guide learners through a comprehensive curriculum to develop skills in a specific field.

Codecademy, on the other hand, has a more limited focus on coding and web development. They offer courses in a variety of programming languages, including Python, JavaScript, and Ruby, as well as web development technologies such as HTML, CSS, and React. They also have a Pro version that includes additional interactive exercises and quizzes, as well as personalized feedback on coding projects.

User Experience and Interface

In terms of user experience, both platforms have clean and user-friendly interfaces. DataCamp offers a more interactive and hands-on approach, with coding exercises integrated into the learning experience. Codecademy has a more traditional e-learning layout, with a focus on video lectures and quizzes.

Overall, both Datacamp and Codecademy have intuitive and user-friendly platforms, making it easy to find what you are looking for. However, Datacamp’s filter system makes it easier to locate specific courses. Both platforms offer mobile apps, but users will need a paid subscription and active internet connection to fully access the learning experience.


Once registered, Datacamp’s interface allows users to explore courses, skill tracks, or career tracks. Users with a Basic (free) plan have access to only 6 courses and the first chapter of each course. Upgrading to a Premium plan grants full access to the content library. The platform also includes a filter system to aid in course selection. Codecademy’s interface includes a quiz to guide beginners in selecting the right courses and paths. The platform lists programming languages and subjects on the left-hand side, and users can explore the catalog with its top career paths and most popular courses. However, it lacks a filter system to easily find specific courses.


Datacamp’s registration process is simple and straightforward. Users can create a free account by adding their email and creating a password, or by using their Google, LinkedIn, or Facebook account. If users choose to upgrade to a paid account, they can easily add their credit card details. Codecademy’s registration process is similar, allowing users to create a free account using their email and password, or by linking their LinkedIn, Google, Facebook, or Github account.

DataCamp vs Codecademy Certificates

When it comes to earning a certificate, some learners may find it essential for various reasons, such as proof of successfully completing a course or program, showcasing to a future employer, or adding to a resume or LinkedIn profile. However, it’s important to note that not all certificates are verified, meaning they are not issued by a credible university or institution in partnership with the online learning platform.

Datacamp offers Professional Certifications in its course catalog, specifically in Data Scientist and Data Analyst roles. These certifications are designed to prepare learners for these specific job roles and are created in partnership with industry leaders, providing validation for employers. For all other courses, DataCamp offers statements of accomplishment which are included in the membership plan.

On the other hand, Codecademy offers certificates of completion with its paid membership plans for successfully completing a course or path. These certificates serve as an acknowledgement of completion, but may not have the same level of validation for employers.

In terms of teachers and community, Datacamp has a network of over 270 instructors who are subject-matter experts in data science and analytics. While learners are not able to reach out to instructors directly for feedback, the platform has an active community on Slack for learners to communicate and ask questions. Codecademy, on the other hand, has a team of hundreds of employees who work together to design, create, and produce its course catalog. The platform has a dedicated community area with forums, chapters, and events to help answer questions, but some users report that it may not be as active or helpful.

Overall, Datacamp’s Professional Certifications and network of subject-matter expert instructors may provide an edge for learners who are looking for validation and credibility for future job opportunities. However, both platforms offer certificates of completion and community support for learners.


Both DataCamp and Codecademy are great options for individuals looking to improve their coding and data science skills. However, the platform that is right for you will depend on your specific learning needs and goals. If you’re looking to develop a career in data science or statistics, DataCamp is the better choice with its comprehensive curriculum and career tracks. If you’re more interested in web development and coding, Codecademy’s focus on these specific skills may be a better fit. Ultimately, the choice between DataCamp and Codecademy will come down to what you’re looking to learn and how you prefer to learn it.

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