Sold by: DataCamp
DataCamp is the enterprise learning platform that builds data and AI fluency across your organization - at any scale. Trusted by over 6,000 companies and 18 million learners, DataCamp helps teams build job-ready skills through interactive, in-browser training with no setup.
With tailored learning paths, assessments, and real-world projects, your teams learn by doing, on tools they actually use. Create custom academies and interactive training programs aligned to your tech stack, roles, and business goals, driving 6x higher course completion rates than traditional platforms.
DataCamp turns compliance into capability, combining expert training on GDPR, the EU AI Act, and other key regulations with applied data and AI skills. Track progress with built-in reporting and measure ROI with enterprise-grade certifications.
Future-proof your workforce for the AI era with a focused, secure, browser-based solution built for immediate impact.
4.7
Overview
DataCamp equips your entire workforce with the data and AI skills needed to meet the demands of modern technology.
From foundational literacy to advanced technical expertise, the platform helps every role and level adopt data and AI at any scale. With one platform, organizations can build, launch, and grow a world-class data and AI academy that delivers hands-on learning and integrates seamlessly with enterprise systems. These tailored programs bridge the gap between purchasing technology and putting it to work - equipping teams with practical, stack-specific training that boosts adoption, lifts productivity, and delivers measurable ROI.
DataCamp turns compliance theory into day-to-day practice. Expert-led training on GDPR, the EU AI Act, and other regulatory areas is combined with applied data and AI upskilling, helping employees reduce risk and operate responsibly in their real-world, daily workflows.
Training supports every level of the workforce, from analysts and AI engineers to business leaders and executives, eliminating the need for siloed tools or disjointed programs. Organizations can design custom learning paths, assessments, and private projects using their own data and use cases, or add instructor-led programs aligned to internal policies and risk areas.
To support oversight and audit requirements, DataCamp offers transparent reporting and built-in auditability through dashboards, assessments, and certifications that validate knowledge and readiness.
Personalized learning pathways guide employees from foundational AI literacy to advanced topics such as LLMOps and generative AI engineering. Learning is focused and hands-on from the start, with exercises, real tools, and projects that require no technical setup. Expert-curated content keeps curricula focused and continuously updated, preventing the noise, lost time, and inconsistency of large open marketplaces.
With certifications, assessments, and a robust skill matrix, DataCamp gives organizations the insight to track progress, measure AI readiness, and target upskilling where it matters most.
Highlights
- DataCamp gives your entire workforce hands-on data and AI training that drives real adoption. Curated, role-based learning paths help employees build practical skills fast, from foundational literacy to advanced engineering. With no setup required, teams learn directly in real tools, accelerating productivity and strengthening ROI across the organization.
- DataCamp turns compliance into day-to-day practice by combining expert-led training on GDPR, the EU AI Act, and other regulations with applied data and AI skills. Employees learn how to reduce risk in real workflows, while custom paths, assessments, and projects aligned to your policies help you deliver consistent, organization-wide compliance education.
- DataCamp provides enterprise-ready oversight with clear dashboards, certifications, and auditability features that track progress and verify knowledge. Personalized learning pathways offer tailored recommendations for every role and level, ensuring employees develop the right skills while giving leaders visibility into AI readiness across the business.
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
DataCamp Enterprise Plan | 10 User Licenses | $4,990.00 |
DataCamp Enterprise Plan | 25 User Licenses | $12,475.00 |
DataCamp Enterprise Plan | 50 User Licenses | $24,950.00 |
DataCamp Enterprise Plan | 100 User Licenses | $49,900.00 |
Vendor refund policy
Except for instances arising from our uncured breach, all Subscription Fees or charges related to your Business Plan are non-refundable and all unpaid fees are due and payable immediately upon cancellation.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
DataCamp provides comprehensive support to help learners, teams, and administrators get the most out of the platform. Support is centralized in the DataCamp Help Center, where users can access searchable self-service resources covering account management, subscriptions and billing, course content, progress tracking, technical troubleshooting, and group or admin features. When users need additional help beyond articles and guides, DataCamp offers direct access to its support team 24/7. This around-the-clock availability ensures that users across all time zones can get timely assistance with technical issues, account questions, or learning-related concerns. By combining robust self-help resources with always-on human support, DataCamp ensures users are never blocked from continuing their learning. support@datacamp.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Customer reviews
Anonymous
Empowers Learning with Structured DIY Content
Reviewed on Jun 08, 2026
Review provided by G2
What do you like best about the product?
I like that DataCamp provides tasks to learn as you go instead of being just video-based like LinkedIn Learning. Their presentations and cheat sheets are great, as they are well-structured and well-presented. I also found the initial setup to be very easy.
What do you dislike about the product?
I think it would be good to see what courses other people are doing in your organization and also tracks made for my role would be good.
What problems is the product solving and how is that benefiting you?
I use DataCamp to learn new tools like PowerBI and Python. It supported me in learning AI courses, like the OpenAI API, which helped me create a tool benefiting my business.
Writing and Editing
Streaks, Leaderboards, and Short Videos That Keep Me Motivated
Reviewed on Jun 07, 2026
Review provided by G2
What do you like best about the product?
Streaks keep me motivated. Leaderboard gives a dose of dopamine and it makes me want to learn more and more. Short videos help with understending. I've never tried a learning platform like this one before.
What do you dislike about the product?
Dopamine shots given by short practices and point.
What problems is the product solving and how is that benefiting you?
A will to go back to the course . When it is short you come back and you learn more and more and more
Ismail K.
Easy-to-Follow Lessons with AI Help That Keeps Learning Sticking
Reviewed on Jun 05, 2026
Review provided by G2
What do you like best about the product?
What I like most about Datacamp is that I can apply what I learn right away before moving on to the next lesson. I also like the AI feature, which helps me a lot when I get stuck. This makes it easier to retain a lot of what I’ve learned before leaving the platform, and the content is very easy to follow.
What do you dislike about the product?
What I dislike about DataCamp is that when I’m trying to submit a project, if I’ve unfortunately opened too many DataCamp tabs, I can’t submit my project until I close all of those tabs. It took me a while to understand what was happening, and I spent a lot of time making changes and deleting parts of my project because I thought the problem was with my solution. That’s what I dislike.
What problems is the product solving and how is that benefiting you?
The problem DataCamp is solving, at least for me, is retaining what you learn in online courses. I’ve spent a lot of time taking online courses, and most of them spend 30 minutes to an hour explaining things before they let you practice. Before you know it, you’re overwhelmed and you forget a lot of what you just learned. DataCamp has helped me a lot because it made me realize that the issue isn’t always me it’s often how those courses are designed and the videos are very short but with a lot of practical exercises.
Tobacco
Hands-On Learning with Instant Feedback - DataCamp Builds Real Skills Fast
Reviewed on Jun 03, 2026
Review provided by G2
What do you like best about the product?
What I like most about DataCamp is that it is very hands-on and practical, so you can build real data skills quite fast. Instead of long theory lessons, you directly write code in the browser and get instant feedback. This helps a lot to understand faster and remember better.
One of the most useful things is the built-in coding environment. You don’t need to install anything or prepare data. You can start practicing SQL, Python or analysis immediately. This really saves time and makes the learning smoother.
I also like the career and skill tracks. They give clear direction, so you don’t waste time thinking what to learn next. It is very helpful to follow a structured path step by step.
The platform is also very easy to use. The UI is clean and simple, and lessons are short with exercises after. This makes it easier to learn even when you have a busy schedule.
Another good point is the real projects and workspace (DataLab). You can practice with more realistic cases, similar to real work. This helps to connect theory with real use cases and be more ready for the job.
In terms of value, DataCamp gives good ROI because you get many courses (data, analytics, AI) for a reasonable price. Also, the AI features like explanations and help to fix errors make learning easier and faster.
For integrations, it supports tools like Slack, Teams, LMS, and SSO, so it is easy to use in a company environment and connect learning with daily work.
Performance is also very good. It is fully browser-based, so it is fast and stable, and you don’t lose time with setup or technical issues.
About onboarding and support, it is very quick to start. The platform guides you step by step, gives recommendations, and feedback is included in the exercises. Because of this, you can learn by yourself without needing a lot of external help.
Overall, DataCamp is very strong because it combines easy usage, practical learning, and clear structure, so you can learn skills that you can apply directly in your daily work.
One of the most useful things is the built-in coding environment. You don’t need to install anything or prepare data. You can start practicing SQL, Python or analysis immediately. This really saves time and makes the learning smoother.
I also like the career and skill tracks. They give clear direction, so you don’t waste time thinking what to learn next. It is very helpful to follow a structured path step by step.
The platform is also very easy to use. The UI is clean and simple, and lessons are short with exercises after. This makes it easier to learn even when you have a busy schedule.
Another good point is the real projects and workspace (DataLab). You can practice with more realistic cases, similar to real work. This helps to connect theory with real use cases and be more ready for the job.
In terms of value, DataCamp gives good ROI because you get many courses (data, analytics, AI) for a reasonable price. Also, the AI features like explanations and help to fix errors make learning easier and faster.
For integrations, it supports tools like Slack, Teams, LMS, and SSO, so it is easy to use in a company environment and connect learning with daily work.
Performance is also very good. It is fully browser-based, so it is fast and stable, and you don’t lose time with setup or technical issues.
About onboarding and support, it is very quick to start. The platform guides you step by step, gives recommendations, and feedback is included in the exercises. Because of this, you can learn by yourself without needing a lot of external help.
Overall, DataCamp is very strong because it combines easy usage, practical learning, and clear structure, so you can learn skills that you can apply directly in your daily work.
What do you dislike about the product?
What I don’t like so much about DataCamp is that sometimes the content can feel a bit too basic or not deep enough, especially for more advanced topics. It is very good for learning fundamentals, but when you want to go deeper, it can feel a bit limited.
Also, many exercises are very guided, so you follow instructions step by step. This is good at the beginning, but sometimes it feels like you are not thinking a lot by yourself. It would be better to have more open practice.
Another point is that the projects could be more realistic or complex. They are useful, but sometimes still a bit simple compared to real work scenarios.
Regarding content, even if there are many courses, the platform is quite focused only on data topics, so it is not ideal if you want to learn other areas like software engineering or broader IT topics.
From a pricing perspective, the subscription model can feel expensive if you are not using the platform regularly. Also, a big part of the content is behind paywall, so the free version is quite limited.
Another downside is that sometimes it is not very clear which course to take next, especially if you don’t follow a track. This can be a bit confusing for new users.
Finally, the certificates are useful but not enough alone to get a job. You still need real projects or experience outside the platform.
Overall, DataCamp is very good to start and practice, but it is not enough by itself for advanced level, so you usually need to complement it with other resources.
Also, many exercises are very guided, so you follow instructions step by step. This is good at the beginning, but sometimes it feels like you are not thinking a lot by yourself. It would be better to have more open practice.
Another point is that the projects could be more realistic or complex. They are useful, but sometimes still a bit simple compared to real work scenarios.
Regarding content, even if there are many courses, the platform is quite focused only on data topics, so it is not ideal if you want to learn other areas like software engineering or broader IT topics.
From a pricing perspective, the subscription model can feel expensive if you are not using the platform regularly. Also, a big part of the content is behind paywall, so the free version is quite limited.
Another downside is that sometimes it is not very clear which course to take next, especially if you don’t follow a track. This can be a bit confusing for new users.
Finally, the certificates are useful but not enough alone to get a job. You still need real projects or experience outside the platform.
Overall, DataCamp is very good to start and practice, but it is not enough by itself for advanced level, so you usually need to complement it with other resources.
What problems is the product solving and how is that benefiting you?
DataCamp is mainly solving the problem of how to learn data skills in a practical and efficient way, without spending too much time on setup or only theory.
In my case, one big problem it solves is that usually learning data topics (like SQL or Python) takes a lot of time to install tools, prepare data, and understand where to start. With DataCamp, everything is already prepared in the browser, so I can focus only on learning and practicing. This helps me save time and be more productive.
Another problem it solves is the gap between theory and real work. Many platforms are very theoretical, but DataCamp makes you practice immediately. This benefits me because I can apply what I learn directly in my daily work, for example improving queries or structuring analysis better.
It also solves the issue of not knowing what to learn next. The career tracks give a clear path, so I don’t waste time searching or guessing. This helps me stay more focused and consistent.
Another benefit is around continuous learning. Since the lessons are short and easy to follow, I can learn in small sessions even during busy days. This makes it easier to build a habit and progress little by little.
Finally, it helps with keeping skills up to date, especially in areas like analytics and AI. Instead of searching in many different sources, I can find structured and practical content in one place.
Overall, DataCamp helps me learn faster, practice more, and apply skills directly in my work, which makes it very valuable for my role as a data analyst.
In my case, one big problem it solves is that usually learning data topics (like SQL or Python) takes a lot of time to install tools, prepare data, and understand where to start. With DataCamp, everything is already prepared in the browser, so I can focus only on learning and practicing. This helps me save time and be more productive.
Another problem it solves is the gap between theory and real work. Many platforms are very theoretical, but DataCamp makes you practice immediately. This benefits me because I can apply what I learn directly in my daily work, for example improving queries or structuring analysis better.
It also solves the issue of not knowing what to learn next. The career tracks give a clear path, so I don’t waste time searching or guessing. This helps me stay more focused and consistent.
Another benefit is around continuous learning. Since the lessons are short and easy to follow, I can learn in small sessions even during busy days. This makes it easier to build a habit and progress little by little.
Finally, it helps with keeping skills up to date, especially in areas like analytics and AI. Instead of searching in many different sources, I can find structured and practical content in one place.
Overall, DataCamp helps me learn faster, practice more, and apply skills directly in my work, which makes it very valuable for my role as a data analyst.
Non-Profit Organization Management
Real-World Exams and Practical Projects Make These Certifications Stand Out
Reviewed on Jun 03, 2026
Review provided by G2
What do you like best about the product?
That their certifications is a real world exams and practical projects which give it a huge weight.
What do you dislike about the product?
Truly nothing. It's the best Data Science Learning Platform by far.
What problems is the product solving and how is that benefiting you?
It teaches Data Science and it's really suitable for any kind of job.