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Accelerating End- to-End Data Science Workflows

Accelerating End- to-End Data Science Workflows

NVIDIA NIC-NVI-AEDS

USD 90.00
excl. VAT

Explore how to perform multiple analysis tasks on large datasets using RAPIDS, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows.

Course Prerequisites

Experience with Python, ideally including pandas and NumPy.

Additional information

The minimum order quantity for NVIDIA self-paced courses is 10.
When adding a course to the shopping cart, a quantity of 10 is automatically added. It may also take 2-3 working days for your course access to be activated. You will receive an email from us with all the necessary information.

Industry Partners

NVIDIA
Institution
NVIDIA
The institution that is responsible for the courseware (and lab environment, if included) of this learning product.
E-learning Format
Self-paced (SP)
Language
English
Subscription duration
180 days
The time you will have access to the learning product once it has been activated.
Grace Period
30 days
Grace Period is the time between booking and automatic activation. After completing your order, you usually have 30 days until a product is automatically activated and the official subscription period begins.
Total effort
6 hours
The estimated total effort it will take you to complete the learning product.