ITQANGlobal Academy for Training
Home / Digital, Data & Artificial Intelligence

Data Analytics Fundamentals

Code: DA-113Level: FoundationDuration: 5 days

Course overview

This foundation-level course in Digital, Data & Artificial Intelligence builds a solid foundation in Data Analytics. It combines international standards and codes with case studies from oil & gas, utilities, industry and government across the GCC, Africa and worldwide, with workshops and pre/post assessment.

What you will learn

  • Explain the core concepts and governing standards of Data Analytics
  • Apply proven Data Analytics methods and tools to real workplace situations
  • Analyse problems and select practical solutions
  • Assess performance and compliance with measurable indicators
  • Build an action plan to improve Data Analytics in your organisation

Who should attend

Engineers, analysts, IT staff and managers leading data and AI adoption

Daily outline

  1. Day 1
    Principles, terminology and governing standards
  2. Day 2
    Methods, tools and technical requirements
  3. Day 3
    Assessment, analysis and decision-making
  4. Day 4
    Implementation, case studies and lessons learned
  5. Day 5
    Performance measurement, improvement and final assessment

Upcoming dates

DateLocationFee
7 Dec – 11 Dec 2026Live onlineUS$ 3,000Book
8 Mar – 12 Mar 2027MarrakechUS$ 5,500Book
21 Jun – 25 Jun 2027JohannesburgUS$ 5,500Book
6 Sept – 10 Sept 2027Live onlineUS$ 3,000Book
13 Dec – 17 Dec 2027Abu DhabiUS$ 5,500Book
19 Mar – 23 Mar 2028DohaUS$ 5,500Book
5 Jun – 9 Jun 2028Live onlineUS$ 3,000Book
11 Sept – 15 Sept 2028NairobiUS$ 5,500Book
18 Dec – 22 Dec 2028KigaliUS$ 5,500Book
5 Mar – 9 Mar 2029Live onlineUS$ 3,000Book
10 Jun – 14 Jun 2029RiyadhUS$ 5,500Book
16 Sept – 20 Sept 2029Kuwait CityUS$ 5,500Book
3 Dec – 7 Dec 2029Live onlineUS$ 3,000Book
A date you chooseIn-houseBased on group sizeRequest a quote

Certificate

ITQAN Global Academy certificate of completion for participants who meet attendance and pass the assessment.

WhatsApp