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Data Science and Cloud Tooling Training

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract for Data Science and Cloud Tooling Training supports the Department of Justice Office of Research and Evaluation by providing specialized technical instruction for prime contractors. The primary objective is to transition 20 researchers from SAS to modern data tools, specifically SQL, Python, and R, while implementing Amazon QuickSight for reporting. To ensure practical application, the training will be conducted in environments that mirror AWS GovCloud. The selected provider must deliver a completed curriculum and ensure staff are fully trained. A critical requirement is that instructors hold professional certifications in Python, R, or AWS Data Analytics. This effort falls under NAICS code 611430, with a response deadline set for November 14, 2026.

General Info

NAICS

611430 - Professional and Management Development Training

Place of Performance

DC, USA

Set-Aside

NONE

Documents

This scope was carved out of AWStoSAS.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Cloud Based Data Management, Analytics, and Reporting Solution to Replace SAS

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Justice → Privatization - Co
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Provides specialized technical training for prime contractors on Department of Justice Office of Research and Evaluation projects. Develops curriculum and provides instruction for 20 researchers on transitioning from SAS to SQL, Python, and R, and utilizing Amazon QuickSight for reporting. Uses training environments mirroring AWS GovCloud. Requires certified instructors in Python, R, or AWS Data Analytics. Delivers completed curriculum and trained staff.

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