Learn Data Science by Doing

No matter what industry you’re in, learning how to analyze and understand your data is critical. That’s why DataCamp provides you with the tools to learn the data science skills you need to start your own data projects.

Learn the Skills of the Future

Learn the skills of the future

Data literacy is one of the most important skills of the 21st century. With DataCamp, you work with leading experts to learn data manipulation, data visualization, computer programming, and more.

Keep up­to­date

Keep up­-to-­date

As you hone your data science skills, you’ll need to add new technologies to your toolkit. With new courses launching every week, DataCamp teaches you the important languages and skills you need for your profession—both now and in the future.

Learn By Doing

Learn by doing

When you learn with DataCamp, you won’t just watch engaging videos—you’ll test your understanding through fun, interactive coding challenges. And since the challenges are right in your browser, you don’t need to worry about any new software or hardware requirements.

Learn at your own pace

Learn at your own pace

Everyone learns differently! That’s why we emphasize individualized course choices. Thanks to DataCamp’s personalized feedback system, you get to choose the exercises you want and code at your own pace.

Earn Certificates

Earn certificates

As you learn, share your DataCamp progress with the world. Earn certificates as you complete courses, and show off your skills via LinkedIn or your unique DataCamp profile.

Regular content updates

Regular content updates

We launch brand new courses every week, and our data-driven instructors are constantly improving our current curriculum. Learn from top experts in the data science field as they help you discover what’s coming next in data science.

Thanks to DataCamp, I can now look at business problems and evaluate if we can solve them with the help of data science.
Markus is a consultant who uses his new skills to build models to help his business succeed.
Image15 Timotheos Lise Ray Image20

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Academia enterprise

Academia & Enterprise

Use DataCamp at work
or in the classroom.

DataCamp for Groups is used by companies, universities, and governmental organizations worldwide to help employees and students learn the fundamentals of data literacy. Whether you want to keep your team’s skills fresh, onboard new employees, or integrate DataCamp’s tutorials with your course curriculum, DataCamp for Groups can help.

Learn More About Groups
  • Apple
  • Pfizer
  • Goldman
  • Gsk
  • Facebook

Frequently Asked Questions

What’s the difference between a free account and a subscription plan?

With our free account you can access all free courses and the first chapter of our premium courses. By subscribing, you gain unlimited access to all courses and tutorials.

Do I need to know anything about data science to get started on DataCamp?

Nope! We have courses for both beginners and experts. Whether you’re a beginner or have years of experience, you can learn something new that will help you grow.

Do I need special software or hardware?

All of our courses and practical work take place in your browser, so you won’t need any new software or hardware. To get the best experience, we suggest using Chrome, Safari or Firefox. IE10 or higher is supported.

How will you charge me?

Once you start your subscription, you’ll be charged on a recurring monthly basis on the day you signed up. You can cancel at any time. If you choose an annual plan, you can save $48.

Can I pause my account?

Of course! In your settings, choose how long you'd like to pause. Afterwards, your subscription will automatically reactivate and you can continue without losing any progress.

It is not possible to pause a yearly subscription.

I work in academia. Can I get a discount for my students?

As an academic professional, you can sign your class up for an entire semester for free via DataCamp for the Classroom (Note: only teaching staff can apply. This is not for students, nonprofits or researchers). Read more here.

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