Course overview
Data Analytics for Finance: Advanced Level is an advanced programme for experienced practitioners in Data Analytics for Finance. It covers the principles, the requirements of IFRS, IIA standards, COSO and GCC tax regulations, and the practical methods used on site, with case studies from operations in the Gulf, Africa and worldwide. Available online, in the classroom in 60 cities, or in-house.
What participants will be able to do
- Explain the principles, terminology and scope of Data Analytics for Finance
- Apply the relevant requirements of IFRS, IIA standards, COSO and GCC tax regulations
- Apply advanced analysis methods to real operating data
- Recognise common problems, risks and root causes and choose the right corrective action
- Prepare an improvement plan for their own site or organisation
Who should attend
Designed for finance professionals, accountants, auditors and budget holders with at least three years of experience.
Course outline (5 days)
- Day 1: Core principles revisitedFast review and recent changes in IFRS, IIA standards, COSO and GCC tax regulations
- Day 2: Advanced analysis methodsDetailed techniques, data interpretation and calculations
- Day 3: Design and performance optimisationImproving reliability, efficiency and cost
- Day 4: Troubleshooting complex casesDiagnosing multi-cause problems from field data
- Day 5: Risk, decisions and integrationBuilding a risk-based plan and presenting recommendations
What the 10-day edition adds
- Day 6: Applied project, part 1Apply the week-one methods to a case from your organisation
- Day 7: Data and digital toolsSoftware, spreadsheets and digital tools used in practice
- Day 8: Lessons from incidents and auditsWhat investigations and audit findings teach
- Day 9: Applied project, part 2Complete, test and refine your solution
- Day 10: Presentations and final assessmentPresent to the group and complete the final assessment
Training method and certificate
Interactive sessions, practical exercises, case studies and pre- and post-course assessments. Participants receive a Qimma Global Training certificate of completion stating the training hours (30 hours for 5 days, 60 hours for 10 days). Delivered in English or Arabic.
Dates 2027–2030
None of these dates work? We run this course for your team on the date and in the place you choose.
| Dates | City | Duration | Fee | |
|---|---|---|---|---|
| 17–28 May 2027 | Johannesburg Classroom | 10 days | $9,900 | Register |
| 28 Jun – 2 Jul 2027 | Lagos Classroom | 5 days | $5,500 | Register |
| 5–16 Sep 2027 | Erbil Classroom | 10 days | $9,900 | Register |
| 13–17 Sep 2027 | Barcelona Classroom | 5 days | $5,500 | Register |
| 18–29 Oct 2027 | Online (live) Online (live) | 10 days | $5,500 | Register |
| 9–20 Jan 2028 | Kuwait City Classroom | 10 days | $9,900 | Register |
| 23–27 Jan 2028 | Dammam Classroom | 5 days | $5,500 | Register |
| 11–22 Jun 2028 | Algiers Classroom | 10 days | $9,900 | Register |
| 19–23 Jun 2028 | Cape Town Classroom | 5 days | $5,500 | Register |
| 25 Sep – 6 Oct 2028 | Online (live) Online (live) | 10 days | $5,500 | Register |
| 9–20 Apr 2029 | Copenhagen Classroom | 10 days | $9,900 | Register |
| 25–29 Jun 2029 | Manchester Classroom | 5 days | $5,500 | Register |
| 8–19 Jul 2029 | Salalah Classroom | 10 days | $9,900 | Register |
| 16–20 Jul 2029 | Brussels Classroom | 5 days | $5,500 | Register |
| 6–17 Aug 2029 | Online (live) Online (live) | 10 days | $5,500 | Register |
| 14–25 Jan 2030 | Tunis Classroom | 10 days | $9,900 | Register |
| 13–17 May 2030 | Istanbul Classroom | 5 days | $5,500 | Register |
| 29 Jul – 9 Aug 2030 | Dublin Classroom | 10 days | $9,900 | Register |
| 14–18 Oct 2030 | Manchester Classroom | 5 days | $5,500 | Register |
| 4–15 Nov 2030 | Online (live) Online (live) | 10 days | $5,500 | Register |
Related courses
- QGT-FIN-104Cost & Management AccountingFoundation
- QGT-FIN-120Data Analytics for FinanceFoundation
- QGT-FIN-162Data Analytics for Finance: Practical WorkshopPractical workshop
- QGT-FIN-178Government & Public Sector Accounting MasterclassMasterclass
- QGT-FIN-183Data Analytics for Finance MasterclassMasterclass