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Enhancing Data Science Outcomes With Efficient Workflow (instructor-led)

Enhancing Data Science Outcomes With Efficient Workflow is an eight-hour instructor-led NVIDIA Deep Learning Institute workshop on building accelerated, end-to-end data processing pipelines for large tabular datasets.

Open at NVIDIA ↗Common questions

Who it suits

  • Data scientists who already know the standard workflow on tabular data.
  • Teams that need to process big data quickly and use hardware well.

What it covers

  • Developing and deploying an accelerated end-to-end data processing pipeline for large datasets.
  • Scaling data science workflows with distributed computing.
  • DataFrame transformations that use hardware acceleration and avoid hidden slowdowns.
  • Feature engineering and rapid experimentation, and optimising memory and hardware use.

Before you start

  • Basic knowledge of a standard data science workflow on tabular data.
  • Knowledge of distributed computing with Dask.
  • NVIDIA’s Fundamentals of Accelerated Data Science course, or the ability to manipulate data with cuDF.

Common questions about Enhancing Data Science Outcomes With Efficient Workflow (instructor-led)

How long is it?
NVIDIA lists a duration of 8 hours.
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.