An applied five-day programme focused specifically on Data Analytics for Smart Cities.
This five-day Kaizen European Academy programme is dedicated specifically to Data Analytics for Smart Cities. It develops practical capability in Smart Cities through structured explanation, applied tools, realistic scenarios and guided workshops. Participants move from core concepts to hands-on application, performance control and an implementation plan that can be transferred directly to their workplace.
Explain the essential concepts, terminology and professional context of Data Analytics for Smart Cities.
Apply the principal methods and tools used in Data Analytics for Smart Cities.
Analyse realistic situations and make evidence-based decisions related to Data Analytics for Smart Cities.
Evaluate performance, risk and control requirements in Data Analytics for Smart Cities.
Develop a practical implementation or improvement plan for Data Analytics for Smart Cities.
Professionals, specialists, supervisors and managers whose responsibilities involve data analytics for smart cities or who need to build practical capability in this area.
Instructor-led explanation, facilitated discussion, subject-specific case studies, practical templates, individual and group exercises, simulations or technical scenarios where appropriate, peer review and a final implementation workshop.
Explain the essential concepts, terminology and professional context of Data Analytics for Smart Cities. Apply the principal methods and tools used in Data Analytics for Smart Cities. Analyse realistic situations and make evidence-based decisions related to Data Analytics for Smart Cities. Evaluate performance, risk and control requirements in Data Analytics for Smart Cities. Develop a practical implementation or improvement plan for Data Analytics for Smart Cities.
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
Scope, terminology and professional context of Data Analytics for Smart Cities
Current practices and emerging trends in Data Analytics for Smart Cities
Roles, responsibilities and stakeholder expectations in Data Analytics for Smart Cities
Diagnostic assessment of current Data Analytics for Smart Cities practices
Smart-city strategy
City operating model
Digital infrastructure
IoT architecture
Urban data platforms
Interoperability
Digital twins
Smart mobility
Smart utilities
Public safety technologies
Citizen services
Open data
Cybersecurity and privacy
Procurement and partnerships
Smart-city KPIs
Governance
Choose one of the next planned European dates, or create a private delivery around your own schedule.
No public date is currently displayed for this programme. Choose the programme, preferred city and approximate dates. We will organise the venue, trainer and delivery format around your requirements.
This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.
Final venue, dates and trainer are confirmed when the session is scheduled.