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
No public session is listed yet. We can run this course in any city on your dates, online, or at your company.