I use DataCamp to upskill myself on AI governance and frameworks, and it teaches me new concepts that I can implement across my organization. I like the UI and ease of learning with the help of transcripts, as it allows me to assimilate information so easily. The initial setup was very straightforward and simple. Review collected by and hosted on G2.com.

I think navigation of courses sometimes becomes a pain. Like I was looking into this particular course about understanding the EU AI act and wanted to send its link to my manager, but was unable to do so. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I use DataCamp to learn AI and programming techniques. I enjoy the lab-like environment where I can practice assessments by doing, instead of just working on theory. It gives me in-depth knowledge of AI topics, from ethics to application in my work environment. Setting up DataCamp was very easy, and I would rate it a 10 out of 10 for recommending to a friend or colleague. Review collected by and hosted on G2.com.

The ranking system could be better because if you join later than others, catching up is practically impossible. Review collected by and hosted on G2.com.

I mainly use DataCamp to sharpen my data skills in a structured and practical way. It’s especially helpful for hands-on learning — instead of just watching videos, I actually write code while learning, which makes concepts stick better. I’ve used it for improving my Python and SQL skills, brushing up on data visualization, and understanding topics like machine learning and statistics in a simple, step-by-step format. The bite-sized lessons are great when I don’t have long hours to study but still want to stay consistent. What I like most is that it feels practical and career-focused. The projects and skill tracks make it easy to connect learning with real-world use cases. The biggest plus for me is the hands-on learning approach. You’re not just watching videos — you’re actually coding from the first lesson. That instant practice makes a huge difference in understanding and retention. I also really like the clear learning paths. Instead of randomly jumping between topics, I can follow a proper track (like Python, SQL, or Data Analyst path) and feel confident that I’m progressing logically. Another thing I appreciate is the short, bite-sized lessons. As a working professional, I don’t always get long study hours. The small modules make it easy to stay consistent without feeling overwhelmed. Overall, it feels career-focused, practical, and beginner-friendly — which is exactly what I need while upgrading my data skills. Review collected by and hosted on G2.com.

The exercises sometimes feel too guided, making me feel like I'm just filling in blanks rather than solving problems independently. I would appreciate more fully open-ended challenges to deepen learning. The real-world project depth could be improved; I would love to see more complex, end-to-end case studies that mimic actual business scenarios, especially in analytics and reporting. Since everything runs in their browser environment, I miss practicing in a real local setup like working in VS Code or handling messy data from scratch. Pricing can feel slightly on the higher side compared to some alternatives, especially for learners who are just starting out. Review collected by and hosted on G2.com.

I like that DataCamp lessons are very user-friendly, easy to understand, and self-paced. I appreciate the real-world examples that help me apply what I've learned and that I can review the material until I fully understand it. The initial setup was very easy for me, and I can advance my skills, efficiency, and productivity at work, especially with Excel, creating pivot tables, and using Excel lookup for sorting data. Also, learning Copilot and the benefits it provides to assist with efficiency and productivity. Review collected by and hosted on G2.com.

There is nothing I dislike about DataCamp. Review collected by and hosted on G2.com.

I appreciate DataCamp for its structure and the range of training modules. The interactive mode is engaging, and as I progress, the modules challenge me to think critically, drawing my attention back to my role and what I can do best. I value that the range starts as basic as an introduction to data and extends to topics like AI at work, prompt engineering, and AI ethics, which make sense to me as a business leader. DataCamp also offers courses for those interested in developing coding skills and creating AI tools for themselves. Personally, it was easy to log in and choose the required module to get started. Review collected by and hosted on G2.com.

I think it would be helpful if DataCamp offered a good summary download and a deck of summary. It would also be beneficial if DataCamp asked about the nature of my work and my team, and then offered guidance on how AI could be deployed effectively within those boundaries. Review collected by and hosted on G2.com.

I appreciate DataCamp for providing structured, hands-on practice, which helps me stay current in fast-moving technical fields. It's a very practical platform for hands-on learning, especially when I need quick, targeted lessons that I can directly apply to my work in IT and emerging AI projects. The convenience and practicality of jumping into short courses or exercises when working on AI-related projects or needing to refresh knowledge on platforms like Power BI or Snowflake fit well with my learning style. The initial setup of DataCamp was very easy as well. Review collected by and hosted on G2.com.

Some quizzes feel too easy or repetitive. With so many courses, it can be hard to find the best path for a specific goal. More personalized recommendations would help. The guided projects are helpful, but they're usually simplified. I'd love to see more messy, realistic datasets and multi-step workflows that mirror actual industry challenges. Review collected by and hosted on G2.com.

What I really like best about DataCamp is how hands-on it is, especially the interactive coding exercises. They're super helpful for actually getting the skills down. The big upside is definitely how well it helps you build practical skills and guides you through learning paths for different careers. Review collected by and hosted on G2.com.

While DataCamp is fantastic for foundational learning and building a solid grasp of core concepts, some users find its structured approach prioritizes syntax precision and can be best for beginners seeking clear guidance. It offers focused practice within its platform, which means less emphasis on external environment setup. For those ready to dive deeper or needing formal accreditation, it might serve as a strong launching pad for further exploration Review collected by and hosted on G2.com.

I use DataCamp to build and practice my skills, which helps improve my performance at work. I find the interactive exercises really helpful as they make learning faster and easier to understand. I'm particularly excited about the interactive learning with the AI, like the Claude 101 course, which allows me to practice prompts in a real AI environment without spending money on actual AI software. The setup is simple too, as I just need to log in and choose a course. I appreciate that I can just learn from the website by watching video lessons and answering questions. It's definitely a platform I would recommend 100% to friends and colleagues. Review collected by and hosted on G2.com.

Nothing Review collected by and hosted on G2.com.

What I like best is how beginner-friendly the platform is. It breaks down complex concepts into simple, clear lessons and interactive exercises that build confidence step by step. Even if you’re new to data or tech, the courses make it easy to understand and stay motivated. Review collected by and hosted on G2.com.

So far, I really like DataCamp. It’s easy to get started and beginner friendly. One area I think could be improved is the video speed. The lessons feel a bit slow at the default pace, so I usually set them to 1.25x to keep things more engaging and efficient. Review collected by and hosted on G2.com.