01 · Who Should Attend
Who Should Attend
Professionals, specialists, supervisors and managers whose responsibilities involve python for data analysis or who need to build practical capability in this area.
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Python for Data Analysis
An applied five-day programme focused specifically on Python for Data Analysis.
Programme at a glance
ReferenceDATA-007
Duration5 days
LevelProfessional
Learning topics20
This five-day Kaizen European Academy programme is dedicated specifically to Python for Data Analysis. It develops practical capability in Python Analytics 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 Python for Data Analysis.
Apply the principal methods and tools used in Python for Data Analysis.
Analyse realistic situations and make evidence-based decisions related to Python for Data Analysis.
Evaluate performance, risk and control requirements in Python for Data Analysis.
Develop a practical implementation or improvement plan for Python for Data Analysis.
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 Python for Data Analysis. Apply the principal methods and tools used in Python for Data Analysis. Analyse realistic situations and make evidence-based decisions related to Python for Data Analysis. Evaluate performance, risk and control requirements in Python for Data Analysis. Develop a practical implementation or improvement plan for Python for Data Analysis.
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
Python for Data Analysis: Foundations and Operating Context
Scope, terminology and professional context of Python for Data Analysis
Current practices and emerging trends in Python for Data Analysis
Roles, responsibilities and stakeholder expectations in Python for Data Analysis
Diagnostic assessment of current Python for Data Analysis practices
Day
02
Module 2
Core Methods and Tools for Python Analytics
Python analytics environment
Data structures
NumPy concepts
pandas Series and DataFrames
Day
03
Module 3
Applied Practice in Python for Data Analysis
Data import
Data cleaning
Transformation
Aggregation
Day
04
Module 4
Performance, Risk and Control in Python for Data Analysis
Merging datasets
Exploratory analysis
Visualization
Statistics with Python
Day
05
Module 5
Python for Data Analysis: Integrated Workshop and Implementation
Time-series basics
Automation
Reusable functions
Notebook practices
Live learning calendar
Request a private session →Upcoming dates for this programme
Choose one of the next planned European dates, or create a private delivery around your own schedule.
26
Oct
2026
Data Analytics and Business Intelligence
Open for registration
Python for Data Analysis
Launch rate€3,250per participant
Corporate Group AdvantageSave 15% from the second participant
Madrid ES
26–30 Oct 2026
5 days
Register for this session
Choose your learning destination
European training destinations
This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.
39cities
20countries
Cities with upcoming sessions
1
This programme already has upcoming dates in the following destinations.
Final venue, dates and trainer are confirmed when the session is scheduled.
KAIZEN EUROPEAN ACADEMY