Objectives
- Explain the core principles, terminology and governing standards of Data Science
- Apply proven methods and tools for Data Science to real workplace situations
- Analyse performance data to find risks, gaps and improvement opportunities
- Compare your practice with international benchmarks and regional case studies
- Build a practical action plan to apply Data Science in your organisation
Who should attend
Professionals and leaders preparing their teams for AI, automation and new ways of working.
Course outline — 5 days
- Day 1Principles, terminology and governing standardsData Science
- Day 2Methods, tools and calculationsData Science
- Day 3Operation, inspection and performanceData Science
- Day 4Risk, troubleshooting and case studiesData Science
- Day 5Best practice, assessment and action planData Science
10-day outline
- Day 1Principles, terminology and governing standardsData Science
- Day 2Methods, tools and calculationsData Science
- Day 3Operation, inspection and performanceData Science
- Day 4Risk, troubleshooting and case studiesData Science
- Day 5Best practice review and mid-course assessmentData Science
- Day 6Advanced analysis techniquesData Science
- Day 7Digital tools, data and softwareData Science
- Day 8Practical labs and simulationsData Science
- Day 9Regional benchmarks and lessons learnedData Science
- Day 10Capstone project and final assessmentData Science
Upcoming sessions 2027–2030
| City | Dates | Duration |
|---|---|---|
| Alexandria | 22 Mar 2027 – 26 Mar 2027 | 5 days |
| Madrid | 18 Oct 2027 – 22 Oct 2027 | 5 days |
| Johannesburg | 10 Jan 2028 – 14 Jan 2028 | 5 days |
| Nairobi | 16 Oct 2028 – 20 Oct 2028 | 5 days |
| Accra | 18 Dec 2028 – 22 Dec 2028 | 5 days |
No public session is listed yet. We can run this course in any city on your dates, online, or at your company.