Request for Quotation for Online Data Science Training

RQ-112649

See details below or the tender documentation

Tender Closed on: 2026-10-12 11:00

Consulting Services, Education, Training, Mentorship and Coaching

Gauteng, Pretoria

Statistics South Africa

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Tender Number: RQ-112649
Department: Statistics South Africa
Tender Type: Request for Quotation
Province: Gauteng
Closing Date: Monday, 12 October 2026 - 11:00
Place where goods, works or services are required: Koch Street-Salvokop-Pretoria-0002
Special Conditions: All documents must be submitted to [email protected]
ENQUIRIES:
Contact Person: Revonia Tlomatsana
Email: [email protected]
Telephone number: 012-337-6392
FAX Number: N/A
BRIEFING SESSION:
Is there a briefing session?: No Is it compulsory? No
Briefing Date and Time:
Briefing Venue:

This tender is also available from www.etenders.gov.za


Tender Summary

Objectives

The primary objective of this tender is to procure a structured online data science training programme. The procuring entity aims to enhance workforce capability in analytical, statistical, and computational methodologies through a fully digital learning solution.

Scope of Work

The scope encompasses the delivery of one complete online data science training unit. While the provided excerpt does not specify curriculum depth, participant capacity, or duration, the requirement centres on end-to-end digital instruction, including course development, virtual facilitation, learner support, and assessment mechanisms. All activities must be executed remotely via approved online platforms.

Technical Requirements

  • Delivery Platform: Training must be hosted on a secure, stable, and accessible online learning environment compatible with standard web browsers and devices.
  • Pricing Submission: Bidders must provide fixed, non-negotiable quotes. Any pricing contingent on exchange rate movements, inflation adjustments, or conditional clauses will be disqualified.
  • Tax Handling: Line-item prices must exclude Value-Added Tax (VAT). The final grand total must include VAT at 15%, applicable only to suppliers officially registered as VAT vendors with the South African Revenue Service (SARS).
  • Bid Validity: All submitted quotations must remain legally binding for 30 days following the closing date.
  • Currency: Financial proposals must be quoted exclusively in South African Rand (ZAR).

Skills Requirements

  • Domain Expertise: Demonstrated proficiency in core data science disciplines, including statistical modelling, machine learning, data wrangling, programming languages (e.g., Python, R, SQL), and data visualisation.
  • Digital Instructional Capability: Proven experience in designing and delivering engaging virtual curricula, utilising Learning Management Systems (LMS), interactive modules, and remote assessment tools.
  • Practical Application: Ability to contextualise theoretical concepts within real-world industry scenarios, ensuring learners can apply analytical techniques to operational challenges.
  • Qualifications: Relevant tertiary qualifications in data science, statistics, computer science, or mathematics, supplemented by recognised facilitation or instructional design certifications.

Explanation of Key Terms

Firm Prices: This commercial term requires bidders to submit final, unchangeable costs. Suppliers cannot later request price increases due to market fluctuations, supply chain disruptions, or currency variations. The quoted amount becomes the maximum payable upon award.

SARS VAT Registration Requirement: South African tax law permits only entities officially registered with the South African Revenue Service as VAT vendors to levy the 15% consumption tax. Unregistered suppliers must quote VAT-exclusive rates and cannot add tax to their invoices. This ensures compliance with national revenue regulations and prevents double taxation or illegal tax collection.

This summary is AI generated. Download the tender documents for all the information.

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