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title: Data Science with GitLab
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---
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        %h1 Data Science with GitLab
        %h3#description Connect, collaborate, and accelerate
        %a.btn.cta-btn.btn-white{ href: "https://about.gitlab.com/free-trial/", target: "_blank" } Try GitLab for Free
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          %h2 Common challenges in data science
          %p.overview
            :markdown
              Data science and machine learning teams are at the cutting edge of business innovation, bringing together insight and learning from data sets near and far. They must be cross-functional, agile, and iterative as they work with business and IT teams to unlock the value hidden in their organization’s data.
            :markdown
              Data science teams need to:
          .overview
            :markdown
              - **Collaborate** both inside and outside their teams, and often inside and outside their organization
              - **Plan and manage projects and sprints,** with tools flexible enough to support scrum, kanban, and more
              - **Version control everything:** manage and track different versions of files, models, test cases, data sets
              - **Automate** key workflow steps, that are otherwise slow and subject to manual errors
              - **Streamline testing and validation** of work, making it much faster and more repeatable
              - **Simplify infrastructure management** and often across multiple cloud providers
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          %h2 Data Science with GitLab
          %p.overview
            :markdown
              - **Cross-functional discussions and collaboration:** GitLab issues make it easy for teams to bridge silos and departments. _[See an example Issue discussion](https://docs.gitlab.com/ee/user/project/issues/img/issues_main_view.png)_
              - **Lightweight and scalable agile planning and work management:** Create and track issues, organizing work into sprints and epics. Keep your broader team aligned as you focus on building models and collaborating with your business. _[An example Burndown Chart](https://docs.gitlab.com/ee/user/project/milestones/img/burndown_chart.png)_
              - **Easily keep track of different versions:** Manage changes to your project files, models, and scripts as you build, train and deploy your models. Collaborate while reviewing changes to help your teams deliver faster. _[Suggestions are easily viewed and applied](https://docs.gitlab.com/ee/user/discussions/img/apply_suggestion_v12_7.png)_
              - **Simple and scalable automation:** GitLab CI/CD makes it easy to validate models by testing key elements with each change, and automating model building and deployment. _[Pipeline visualization](https://docs.gitlab.com/ee/ci/img/pipelines.png)_
              - **Deploy and manage your model in any cloud:** Being truly cloud-agnostic means that GitLab provides a complete DevOps platform that allows teams to have the same productivity metrics, governance, and other connective tissue, no matter what cloud you use. _[See deployment view Pods in GitLab](https://docs.gitlab.com/ee/user/project/img/deploy_boards_landing_page.png)_
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          %h2 Additional resources
          .overview
            :markdown
              - Video: [How to Implement DataOps using GitLab](https://www.youtube.com/watch?v=GSEwkL5ZRNs)
              - Video: [DataOps in a Cloud Native World — Data Engineering Best Practices](https://www.youtube.com/watch?v=PLe9sovhtGA&list=PLFGfElNsQthaaqEAb6ceZvYnZgzSM50Kg&index=9&t=0s)
              - Video: [GitLab for Machine Learning on Kubernetes](https://www.youtube.com/watch?v=YiD9Ozj5zbQ)
              - [4 Examples of the power of open source analytics](https://about.gitlab.com/blog/2019/04/15/open-source-analytics/)
              - [GitLab's Data Team open sources a dbt package for managing Snowflake spend](https://about.gitlab.com/blog/2019/08/26/managing-your-snowflake-spend-with-periscope-and-dbt/)
              - Video: [How GitLab's Data Team Does More By Adopting Software Engineering Best Practices](https://www.youtube.com/watch?v=eu623QBwakc)
              - Video: [WordPress.com's Simon Ouderkirk discusses a data organization translation of DevOps and more, with Gitlab's Taylor Murphy](https://www.youtube.com/watch?v=iT1uRdyXfd8)
              - [How the GitLab Data Team works ⁠— our open source, internal handbook](https://about.gitlab.com/handbook/business-ops/data-team/)
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