IBM Data Science Experience feature spotlights

IBM Data Science Experience: All your tools in one place

Data Science Experience is a centralized place for all your data science tools such as RStudio, Jupyter, Python, Scala and more. Use open source along with IBM innovation to produce outstanding results. 

Jupyter Notebooks

Jupyter notebooks are a web-based environment for interactive computing. You can run small pieces of code that process your data and immediately view the results of your computations. Notebooks include all the building blocks you need to work with data: data, code computations, visualizations, text and rich media to enhance insights.

Shareable, collaborative projects

Organize your team members, notebooks, scripts and data sets into shareable projects and make collaboration easier and more transparent with data science experience.


R is a popular statistical analysis and machine learning package that enables data management. It includes tests, models, analyses and graphics to empower data management. RStudio, included in IBM Data Science Experience, provides an IDE for working with R.

Searchable and evolving community

Use forking and comments to share advice, provide guidance and suggest alternative methods of analysis. Tap the collective knowledge of your team and the community to be more productive and get better results.


Projects enables users to orient a team of collaborators around a set of notebooks, data sets, articles and analysis work streams, making it easier for organizations to reuse assets. It also empowers teams create and enforce shared best practices while collaborating with each other and learning from the community.

Supporting content where you need it

While you code, use the embedded maker palette to access data sets, tutorials and documentation to get to what you need exactly when you need it.