What is DataCamp?
DataCamp offers a catalog of interactive courses and hands-on projects for data science, machine learning, and AI.
Content covers Python, R, SQL, Power BI, Tableau, Excel, Spark, dbt, and cloud platforms (AWS, Azure, Snowflake).
Career tracks and skill tracks map learning into role-focused paths for Data Analysts, Data Scientists, Data Engineers, and Machine Learning Engineers.
Real-world projects, practice exercises, and assessments support portfolio development and skills verification for hiring or internal upskilling.
Team and enterprise features include customizable learning paths, analytics for tracking progress, and classroom management for instructors.
DataCamp pricing Freemium
Verify on the official pricing page.
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DataCamp's key features
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Cloud-based SaaS on Azure for publishing, hosting, managing, and sharing reports and dashboards
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Data integration with 100+ connectors, Power Query (M scripts) for transformations, and On‑premises Data Gateway for secure on‑prem access
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In-memory xVelocity (VertiPaq) engine and reusable semantic models with DAX; storage modes: Import, DirectQuery, Composite
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Collaboration and distribution via Workspaces, role-based permissions (Admin/Member/Contributor/Viewer), Apps, subscriptions, and sharing
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Security and compliance: Microsoft Entra ID authentication, Row‑Level Security, TLS/AES‑256 encryption (BYOK for Premium), audit logs, and multi‑geo support
DataCamp use cases
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Upskill your data team with DataCamp's role-based career tracks, hands-on projects, and team analytics to create customizable learning paths, monitor progress, and certify proficiency across Python, R, SQL and cloud platforms
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Develop production-ready machine learning pipelines using DataCamp's hands-on ML and MLOps projects combined with cloud data training and deployment courses to prototype, test, and operationalize models end-to-end
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Transition into LLM and prompt engineering roles by following DataCamp's prompt engineering and LLM courses, completing interactive projects that integrate Python and SQL, and building portfolio-ready projects to showcase to employers
Who is it for?
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Data science learners
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Machine learning practitioners
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Ai enthusiasts
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Data analysts
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Developers
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Students
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Professionals seeking skill tracks
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Teams needing analytics training