--- title: "Provision of Accreditation of Level 3 in Data Analytics for Government" ocid: "ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a.json" source: "Contracts Finder" current_stage: "Planning" buyer: "OFFICE FOR NATIONAL STATISTICS" published: "2018-02-16" --- # Provision of Accreditation of Level 3 in Data Analytics for Government Buyer: OFFICE FOR NATIONAL STATISTICS Current stage: Planning OCID: ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a.json) ## Summary The procurement process for the accreditation of Level 3 in Data Analytics for Government is being conducted by the Office for National Statistics (ONS) based in Newport, Wales. This initiative aims to develop a new learning pathway that will support the Government Statistical Service (GSS). The process is currently in the planning stage, with key milestones including an engagement end date on 23rd February 2018. Interested businesses must register on the e-tendering platform, In-tend, by 5pm on 26th July to participate in the tender process. This tender presents valuable opportunities for businesses specialising in education and training services, particularly those with expertise in data analytics and official statistics. Companies that can deliver accredited educational programmes or training modules suited to governmental needs would be particularly well-positioned to submit competitive proposals. Engaging in this procurement could enable providers to expand their offerings within the public sector, tapping into a growing demand for skilled professionals in data science and analytics. ## Notice The Office for National Statistics (ONS) is exploring the option of accreditation for a new learning pathway for 'Data Analytics for Government'. The Learning Academy - Analytical Branch, the learning and development division within ONS, are currently designing a new learning pathway for Data Analytics, which will support the Government Statistical Service (GSS). As part of this pathway, the Learning Academy wishes to offer an accredited qualification at level 3. This level 3 qualification brings together modules on a range of topics covering official statistics, the statistical cycle and innovative analysis techniques (data science). It is aimed at up-skilling members of the GSS, particularly the Operational Delivery Profession, as well as being a stepping stone towards a degree level qualification. Interested parties are requested to register on our e-tendering tool, In-tend, and express an interest in the "Accreditation of Level 3, Data Analytics for Government" project https://in-tendhost.co.uk/ons/aspx/ProjectManage/296 you will then be sent a questionnaire to complete. Further details of the qualification design are available on request. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/f6f772bb-06fa-4c91-8051-420662c03706 | | Notice type | Market Engagement Notice | | Procurement type | Standard | | Procurement category | Not specified | | Procurement method | Not Specified | | Procurement method details | Not specified | | Tender suitability | Not specified | | Awardee scale | Not specified | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 16 Feb 2018 | | Submission deadline | Not specified | | Future notice date | 23 Feb 2018 | | Award date | Not specified | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Cancelled | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | OFFICE FOR NATIONAL STATISTICS | | Locality | NEWPORT | | Post town | Newport | | Postcode | NP10 8XG | | Country | Wales | | ITL 1 | TLL Wales | | ITL 2 | TLL5 South East Wales | | ITL 3 | TLL54 Monmouthshire and Newport | | Local authority | Newport | | Electoral ward | Tredegar Park and Marshfield | | Westminster constituency | Newport West and Islwyn | | Delivery location | Not specified | ## CPV Codes ### Divisions - 80 - Education and training services ### Codes - 80400000 - Adult and other education services - 80500000 - Training services ## Release History - 16 Feb 2018 at 11:23 - Planning - Market Engagement Notice - https://www.contractsfinder.service.gov.uk/Notice/f6f772bb-06fa-4c91-8051-420662c03706 - 21 Jul 2017 at 09:16 - Planning - Market Engagement Notice - https://www.contractsfinder.service.gov.uk/Notice/3572f624-015c-4219-b44e-4ee23ba93f27 - 12 Jul 2017 at 12:28 - Planning - Market Engagement Notice - https://www.contractsfinder.service.gov.uk/Notice/3572f624-015c-4219-b44e-4ee23ba93f27 ## Documents - https://www.contractsfinder.service.gov.uk/Notice/f6f772bb-06fa-4c91-8051-420662c03706 16th February 2018 - Early engagement notice on Contracts Finder - https://www.contractsfinder.service.gov.uk/Notice/3572f624-015c-4219-b44e-4ee23ba93f27 21st July 2017 - Early engagement notice on Contracts Finder ## Notice URLs - https://in-tendhost.co.uk/ons/aspx/ProjectManage/296 ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-cf6b16d6-3fbd-4f8e-80fc-69faab937e6a.json.