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Fundamentals of Accelerated Data Science (instructor-led)

Fundamentals of Accelerated Data Science is an instructor-led NVIDIA workshop on using GPU-accelerated tools to do data science faster, including cuDF, XGBoost, Triton Inference Server and graph analytics.

Open at NVIDIA ↗Common questions

Who it suits

  • Data scientists who want faster, more scalable analysis.
  • Teams who want more iteration cycles in the same time.

What it covers

  • Using cuDF to accelerate pandas, Polars and Dask.
  • Machine learning algorithms including XGBoost, deployed on a Triton Inference Server.
  • Graph algorithms with NetworkX and cuGraph.
  • A capstone analysis of massive datasets in a simulated epidemic scenario.

Common questions about Fundamentals of Accelerated Data Science (instructor-led)

What is the aim?
NVIDIA says you will be able to perform data science tasks more efficiently, with more iteration cycles.
How is it taught?
As an instructor-led workshop; NVIDIA says to work with the instructor on timing for your session.
What does it cost?
NVIDIA lists instructor-led workshops as contact-us for pricing and dates, so check its page; they change.

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Where this comes from

Written from NVIDIA’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with NVIDIA and this is not an endorsement.