01 · Who Should Attend
Who Should Attend
Professionals, specialists, supervisors and managers whose responsibilities involve data science foundations or who need to build practical capability in this area.
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Data Science Foundations
An applied five-day programme focused specifically on Data Science Foundations.
Programme at a glance
ReferenceDATA-014
Duration5 days
LevelProfessional
Learning topics20
This five-day Kaizen European Academy programme is dedicated specifically to Data Science Foundations. It develops practical capability in Data Science Foundations 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 Science Foundations.
Apply the principal methods and tools used in Data Science Foundations.
Analyse realistic situations and make evidence-based decisions related to Data Science Foundations.
Evaluate performance, risk and control requirements in Data Science Foundations.
Develop a practical implementation or improvement plan for Data Science Foundations.
02 · Programme Methodology
Programme Methodology
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.
03 · Learning Outcomes
Learning Outcomes
Explain the essential concepts, terminology and professional context of Data Science Foundations. Apply the principal methods and tools used in Data Science Foundations. Analyse realistic situations and make evidence-based decisions related to Data Science Foundations. Evaluate performance, risk and control requirements in Data Science Foundations. Develop a practical implementation or improvement plan for Data Science Foundations.
04 · Prerequisites
Prerequisites
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
Day
01
Module 1
Data Science Foundations: Foundations and Operating Context
Scope, terminology and professional context of Data Science Foundations
Current practices and emerging trends in Data Science Foundations
Roles, responsibilities and stakeholder expectations in Data Science Foundations
Diagnostic assessment of current Data Science Foundations practices
Day
02
Module 2
Core Methods and Tools for Data Science Foundations
data sources
data quality
data preparation
analysis
Day
03
Module 3
Applied Practice in Data Science Foundations
statistics
visualization
dashboards
KPIs
Day
04
Module 4
Performance, Risk and Control in Data Science Foundations
SQL
Python
BI
predictive analytics
Day
05
Module 5
Data Science Foundations: Integrated Workshop and Implementation
data governance
privacy
storytelling
decision support
Live learning calendar
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Choose one of the next planned European dates, or create a private delivery around your own schedule.
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European training destinations
This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.
39cities
20countries
Final venue, dates and trainer are confirmed when the session is scheduled.
KAIZEN EUROPEAN ACADEMY