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  • 📩 Email‑exclusive:
    DataCamp Limited Time Sale - 50% Off!
    Upskill in data science and AI with Python, SQL, PowerBI, Tableau and more with 50% off.
  • Limited-Time Offer
  • 10/30/2025
  • Learn - Premium Monthly
    70+
  • $48
  • -
  • 67% Off
  • 🔥Learn - Premium Yearly, monthly price
    160+
  • $15.99 $48
  • $32.01
  • 48% Off
  • Learn - Team Yearly, monthly price
    20+
  • $15.99 $31
  • $15.01
  • 50% Off
  • Datalab - Premium Yearly, monthly price
    40+
  • $4.00 $8
  • $4.00
  • 50% Off
  • 🎓 DataCamp 50% off Premium Student Plan
Past Offers (May have expired)
  • 📩 Email‑exclusive: DataCamp Limited Time Sale - 50% Off!
    Upskill in data science and AI with Python, SQL, PowerBI, Tableau and more with 50% off.
    - 50% Off
  • 📩 Email‑exclusive: Datacamp July Promo - Learn Data and AI Skills with Python, SQL, PowerBI, Tableau and more with 50% off! - 50% Off
  • 📩 Email‑exclusive: Unlimited Data and AI Learning - 50% Off! Upskill in data science and AI with Python, SQL, PowerBI, Tableau and more. - 50% Off
  • 📩 Email‑exclusive: Datacamp Free Access Week - Data Engineering and BI. All DataCamp business intelligence and data engineering courses are free between June 2nd-8th. - 100% Off
  • 📩 Email‑exclusive: Datacamp Flash Sale - Unlimited learning, half price! Upskill in data science and AI with Python, SQL, PowerBI, Tableau and more with 50% off. - 35% Off
  • 📩 Email‑exclusive: DataCamp New Year New Skills - 50% Off - 55% Off
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An online learning platform that focuses on teaching data science, data analysis, and programming skills.

DataCamp provides a wide range of interactive courses and tutorials designed to help individuals learn and apply data science concepts and techniques. It allows learners to practice and apply their skills in real-world scenarios.

The courses are offered in various programming languages commonly used in data analysis and data science, such as Python, R, SQL, and more. The platform covers a broad range of topics, including data manipulation, data visualization, machine learning, statistical analysis, data cleaning, and data storytelling.

It caters to learners at various skill levels, from beginners to advanced users, and provides a structured learning path to help users progress through different stages of their data science journey.

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