Who Should Attend
Professionals, specialists, supervisors and managers whose responsibilities involve big data fundamentals or who need to build practical capability in this area.
An applied five-day programme focused specifically on Big Data Fundamentals.
This five-day Kaizen European Academy programme is dedicated specifically to Big Data Fundamentals. It develops practical capability in Big Data 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 Big Data Fundamentals.
Apply the principal methods and tools used in Big Data Fundamentals.
Analyse realistic situations and make evidence-based decisions related to Big Data Fundamentals.
Evaluate performance, risk and control requirements in Big Data Fundamentals.
Develop a practical implementation or improvement plan for Big Data Fundamentals.
Professionals, specialists, supervisors and managers whose responsibilities involve big data fundamentals 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 Big Data Fundamentals. Apply the principal methods and tools used in Big Data Fundamentals. Analyse realistic situations and make evidence-based decisions related to Big Data Fundamentals. Evaluate performance, risk and control requirements in Big Data Fundamentals. Develop a practical implementation or improvement plan for Big Data Fundamentals.
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 Big Data Fundamentals
Current practices and emerging trends in Big Data Fundamentals
Roles, responsibilities and stakeholder expectations in Big Data Fundamentals
Diagnostic assessment of current Big Data Fundamentals practices
data sources
data quality
data preparation
analysis
statistics
visualization
dashboards
KPIs
SQL
Python
BI
predictive analytics
data governance
privacy
storytelling
decision support
Choose one of the next planned European dates, or create a private delivery around your own schedule.
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.