- Country: Canada
- Summary: Request for Information - French Data Science Training Platform
- CAT Ref No: 106899503
- Deadline: 19 Sep 2024
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: Request for Information - French Data Science Training Platform for StatCan
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- Description:
- This RFI is for suppliers who can provide a training platform in the French Language. Statistics Canada currently has access to an English only version of such a platform.
A new learning strategy is needed for Statistics Canada users, to have access to high-quality training in open-source programming languages such as: R and Python, in the French Language.
•Statistics Canada is seeking the services of external web-based, e-learning vendors to provide a training/learning platform for our users to learn R and Python.
•As part of migration planning into R and Python, Statistics Canada requires the ability to track training progress of users across Statistics Canada.
•The goal is to ensure users receive the proper training from beginner, intermediate to advanced levels, and to feel supported and well prepared. - Documents:
english--statcan-rfi-for-a-french-training-platform.pdf
french--statcan-rfi-for-a-french-training-platform.pdf
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CLICK HERE TO LOGINRequest for Information - French Data Science Training Platform - Canada Tender
The STATISTICS CANADA, a Government sector organization in Canada, has announced a new tender for Request for Information - French Data Science Training Platform. This tender is published on CanadaTenders under CAT Ref No: 106899503 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2024-09-19.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
