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Certificate Badge Symbol for award and quality seal.

Change management and digital transformation.

You analyze digital changes, manage them using appropriate change frameworks, and embed them sustainably within the organization through data and communication.

Full/Part time
2 weeks (full-time)
Beginner-friendly
German
AI data transformation manager with modern technology and digital innovation.

What is change management?

Change management is the structured support of change processes within organizations, from analysis and planning through to implementation. When combined with digital transformation, the goal is to design technology and AI implementations in such a way that they are truly integrated into everyday work.

Who is this training program suitable for?

This training is designed for professionals and practitioners who are actively involved in or coordinate change projects but do not have formal training in change management. You have professional experience and are responsible for digitalization or AI initiatives within your team or department.

For which professional groups is the training relevant?

This training is relevant across all industries. It is particularly suitable for the following roles:

  • As a Digital Enabler, you will coordinate digitalization and AI initiatives across departments
  • As a project manager for transformation projects, you will oversee the change management aspect in addition to the traditional implementation
  • As a team lead, you prepare your team for new tools and ways of working and help overcome resistance
  • As an AI specialist with implementation responsibilities, you will roll out AI solutions in a way that ensures they are accepted and used by the team

In this training you will learn:

Change Frameworks
Resistance & Stakeholders
Change KPIs
  • What? You classify drivers of change and maturity levels, apply frameworks such as Lewin, Kotter, ADKAR, and Cynefin, define KPIs for acceptance and impact, and manage culture, resistance, and communication.
  • What for? So that you can manage change in organizations in a planned and controlled manner, make success measurable, and actively involve those affected.
  • Practice: You'll work with scenario-based exercises and, in your final project, integrate stakeholder analysis, frameworks, a set of KPIs, and a communication roadmap into a comprehensive change project.
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
Understanding and Planning Digital Transformation
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You understand change, analyze transformation, apply change models, and plan based on data.

Chapter 1: Understanding Change, Drivers, Context, Transformation

You explain the core concepts of change, transformation, and transition, and distinguish change management from project and business analysis. Using the scenario of a HealthTech scale-up, you identify drivers of change and typical causes of failure.

Chapter 2: Classifying Transformation, Maturity Levels, Gap Analysis, and AI Potential

You define digital transformation and distinguish it from IT projects. You will apply a gap analysis, assess AI potential, and identify seven typical pitfalls in AI implementations.

Chapter 3: Applying Change Models, from Lewin to Cynefin

You apply five core frameworks (Lewin, Kotter, ADKAR, Cynefin, Senge), understand their interrelationships, and select the appropriate model for your change context based on sound reasoning.

Chapter 4: Planning Change, Management, Data, and KPIs

You define change-specific KPIs, distinguish between leading and lagging indicators, and interpret adoption metrics. You analyze an employee survey in Excel and formulate a business case.

2
Implementing and embedding change
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You shape culture, address resistance, communicate in a way that resonates with your audience, and ensure success.

Chapter 1: Shaping Culture, AI Adoption, and Mindset

You identify cultural artifacts and derive values. You evaluate four enablement dimensions for AI readiness and identify three key levers for cultural change.

Chapter 2: Understanding and Addressing Resistance

You identify four types of resistance and their causes using real-world examples. You understand psychological safety as a leadership lever and are familiar with co-determination rights regarding digital systems.

Chapter 3: Reaching Stakeholders, Communication, and Change Leadership

You will systematically identify stakeholders, classify them in the Power-Interest Matrix, and design a communication roadmap. You will apply three operational change leadership practices to your daily work.

Chapter 4: Securing Success, Evaluation, Benefits, and Embedding

You will establish benefits realization as a process, recognize typical regression patterns after go-live, and develop a crisis response plan for five common change crises.

Chapter 5: Planning the Transfer, Project, and Closure

You integrate six core components (stakeholders, framework, interventions, KPIs, benefits, communication) and present your project to a simulated steering committee.

In this training you will learn:
Change Frameworks
Resistance & Stakeholders
Change KPIs
  • What? You classify drivers of change and maturity levels, apply frameworks such as Lewin, Kotter, ADKAR, and Cynefin, define KPIs for acceptance and impact, and manage culture, resistance, and communication.
  • What for? So that you can manage change in organizations in a planned and controlled manner, make success measurable, and actively involve those affected.
  • Practice: You'll work with scenario-based exercises and, in your final project, integrate stakeholder analysis, frameworks, a set of KPIs, and a communication roadmap into a comprehensive change project.

Your benefits with StackFuel.

100 % Financed

Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.

80 % Practical content

Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.

Predictable

Completely online and offered on a full-time or part-time basis—with fixed class times and live instruction.

Supported by mentors

Our data experts are always in contact and offer support and motivation.

Final certificate

After completing the training program, you will receive our recognized certificate to prove your skills.

Career Service included

Our Career Service supports you with advice and coaching when you start your data job.

The next
start dates.
Training programTraining Date Date/Duration Model
Business Analyst – Change Management Business Analyst – Change Management Business Analysis & Process Analysis
09.11.2026
09.11.2026 6 months Full-time
Full-time Apply
Business Analyst – Change Management Business Analyst – Change Management Business Analysis & Process Analysis
09.11.2026
09.11.2026 12 months Part-time
Part-time Apply
09.11.2026
09.11.2026 5–6 months Full-time
Full-time Apply
09.11.2026
09.11.2026 10–11 months Part-time
Part-time Apply
09.11.2026
09.11.2026 5–6 months Full-time
Full-time Apply
09.11.2026
09.11.2026 10–11 months Part-time
Part-time Apply
09.11.2026
09.11.2026 5–6 months Full-time
Full-time Apply
09.11.2026
09.11.2026 10–11 months Part-time
Part-time Apply
09.11.2026
09.11.2026 4–5 months Full-time
Full-time Apply
09.11.2026
09.11.2026 9–10 months Part-time
Part-time Apply
09.11.2026
09.11.2026 8–9 months Full-time
Full-time Apply
09.11.2026
09.11.2026 16–17 months Part-time
Part-time Apply
09.11.2026
09.11.2026 7–8 months Full-time
Full-time Apply
09.11.2026
09.11.2026 14–15 months Part-time
Part-time Apply
09.11.2026
09.11.2026 11–12 months Full-time
Full-time Apply
09.11.2026
09.11.2026 23–24 months Part-time
Part-time Apply
09.11.2026
09.11.2026 10–11 months Full-time
Full-time Apply
09.11.2026
09.11.2026 21–22 months Part-time
Part-time Apply
09.11.2026
09.11.2026 3–4 months Full-time
Full-time Apply
09.11.2026
09.11.2026 7–8 months Part-time
Part-time Apply
09.11.2026
09.11.2026 4–5 months Full-time
Full-time Apply
09.11.2026
09.11.2026 8–9 months Part-time
Part-time Apply
09.11.2026
09.11.2026 6–7 months Full-time
Full-time Apply
09.11.2026
09.11.2026 12–13 months Part-time
Part-time Apply
Business Analyst – Change Management Business Analyst – Change Management Business Analysis & Process Analysis
23.11.2026
23.11.2026 6 months Full-time
Full-time Apply
Business Analyst – Change Management Business Analyst – Change Management Business Analysis & Process Analysis
23.11.2026
23.11.2026 12 months Part-time
Part-time Apply
23.11.2026
23.11.2026 5–6 months Full-time
Full-time Apply
23.11.2026
23.11.2026 10–11 months Part-time
Part-time Apply
23.11.2026
23.11.2026 5–6 months Full-time
Full-time Apply
23.11.2026
23.11.2026 10–11 months Part-time
Part-time Apply
23.11.2026
23.11.2026 5–6 months Full-time
Full-time Apply
23.11.2026
23.11.2026 10–11 months Part-time
Part-time Apply
23.11.2026
23.11.2026 4–5 months Full-time
Full-time Apply
23.11.2026
23.11.2026 9–10 months Part-time
Part-time Apply
23.11.2026
23.11.2026 8–9 months Full-time
Full-time Apply
23.11.2026
23.11.2026 16–17 months Part-time
Part-time Apply
23.11.2026
23.11.2026 7–8 months Full-time
Full-time Apply
23.11.2026
23.11.2026 14–15 months Part-time
Part-time Apply
23.11.2026
23.11.2026 11–12 months Full-time
Full-time Apply
23.11.2026
23.11.2026 23–24 months Part-time
Part-time Apply
23.11.2026
23.11.2026 10–11 months Full-time
Full-time Apply
23.11.2026
23.11.2026 21–22 months Part-time
Part-time Apply
23.11.2026
23.11.2026 3–4 months Full-time
Full-time Apply
23.11.2026
23.11.2026 7–8 months Part-time
Part-time Apply
23.11.2026
23.11.2026 4–5 months Full-time
Full-time Apply
23.11.2026
23.11.2026 8–9 months Part-time
Part-time Apply
23.11.2026
23.11.2026 6–7 months Full-time
Full-time Apply
23.11.2026
23.11.2026 12–13 months Part-time
Part-time Apply
The next
start dates.
Training
Start dates
Business Analyst – Change Management Business Analyst – Change ManagementBusiness Analysis & Process Analysis 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 6 months
    • Part-time - 12 months
  • 23.11.2026
    • Full-time - 6 months
    • Part-time - 12 months
Apply
Business Analyst – Change Management with Copilot Business Analyst – Change Management with CopilotBusiness Analysis & Process Analysis 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
  • 23.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
Apply
BI Analyst – AI, Data, and Change Management BI Analyst – AI, Data, and Change ManagementBusiness Intelligence 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
  • 23.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
Apply
BI Analyst – Change Management BI Analyst – Change ManagementBusiness Intelligence 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
  • 23.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
Apply
BI Analyst – Change Management with Copilot BI Analyst – Change Management with CopilotBusiness Intelligence 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 4–5 months
    • Part-time - 9–10 months
  • 23.11.2026
    • Full-time - 4–5 months
    • Part-time - 9–10 months
Apply
Data Analyst – Change Management Data Analyst – Change ManagementData Analysis 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 8–9 months
    • Part-time - 16–17 months
  • 23.11.2026
    • Full-time - 8–9 months
    • Part-time - 16–17 months
Apply
Data Analyst – Change Management with Copilot Data Analyst – Change Management with CopilotData Analysis 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 7–8 months
    • Part-time - 14–15 months
  • 23.11.2026
    • Full-time - 7–8 months
    • Part-time - 14–15 months
Apply
Data Scientist – Change Management Data Scientist – Change ManagementData Science 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 11–12 months
    • Part-time - 23–24 months
  • 23.11.2026
    • Full-time - 11–12 months
    • Part-time - 23–24 months
Apply
Data Scientist – Change Management with Copilot Data Scientist – Change Management with CopilotData Science 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 10–11 months
    • Part-time - 21–22 months
  • 23.11.2026
    • Full-time - 10–11 months
    • Part-time - 21–22 months
Apply
Project Management – Introduction to Change Management with Copilot Project Management – Introduction to Change Management with CopilotProject Management (Basics) 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 3–4 months
    • Part-time - 7–8 months
  • 23.11.2026
    • Full-time - 3–4 months
    • Part-time - 7–8 months
Apply
Project Management – Introduction to Change Management Project Management – Introduction to Change ManagementProject Management (Basics) 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 4–5 months
    • Part-time - 8–9 months
  • 23.11.2026
    • Full-time - 4–5 months
    • Part-time - 8–9 months
Apply
Project Management – Change Management Project Management – Change ManagementProject Management 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 6–7 months
    • Part-time - 12–13 months
  • 23.11.2026
    • Full-time - 6–7 months
    • Part-time - 12–13 months
Apply

Here's what our participants have to say:.

More than 8,000 graduates have already completed a training program in data and AI skills at StackFuel (a Multiverse Company). Here, some of them share their experiences:

Farbod Khiawi
Client Operations Consultant / Success Manager
AON
"What I liked best were the regular group sessions with participants and tutors. These were very exciting and beneficial for both learning and motivation."
Data Scientist Training Program
Sebastian Peter Piskalla
Participants
Continuing Education for AI Professionals
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Dr. Pinar Toker
Data Scientist
Eraneos Analytics
"The hands-on, real-world problems at StackFuel helped me master data analysis techniques and Python programming. The focus [...] on industry-relevant skills gave me the confidence and know-how I needed for my job search."
Data Scientist Training Program
Philipp Buthmann
Participants
Python Programmer
"The overall vibe was just always really great!"
Ines Bulmahn
Participant
AI & Data Transformation Manager
"The course had a very strong practical component, and I was able to take a lot away from it."
Philipp Gehrlein
Participants
AI Automation Expert
"I learned a lot of new and practical things during the training that I can now apply directly in my everyday life and in a professional setting."
Liudmila Litger
Data Analyst
Aviv Group (HomeToGo)
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Data Analyst Training Program
Ninel Kloss
Participant
BI Specialist, Data Analyst, Data Scientist
"During the course, I experienced a lot of positive emotions. The learning process was perfectly organized: there was a lot of important and interesting information, as well as varied and exciting assignments. Not everything I did was always easy for me, but it was always interesting and fun. A special thank you goes to the team of mentors. Whenever you need help, they’re there—patient and professional."
Marco Fischer
Data Scientist
mexxon Group
"The intensive work with important Python libraries and the concepts and mathematical basics taught were very good preparation for my new job!"
Data Scientist Training Program
Amirhossein Rahimi
Data Scientist
zaplinace GmbH
"The practical, project-oriented approach makes the courses very interesting and has made my learning progress much easier."
Data Scientist Training Program
Sandra Wilde
Participant
AI specialist
"I was particularly impressed by the timeliness and versatility of the course content, as well as the multimedia design."
Daniel Hermann
Geodata analyst
GI-CONSULT GmbH
"The competent and friendly lecturers and the examples of content made me enjoy data-driven programming. The certificates (from StackFuel) are a real plus on my CV - and the skills anyway!"
Data Scientist Training Program
Lisa Ambrosi de Magistris Verzier
Data Analyst
Interone
"I particularly liked the well-structured curriculum and the clearly conveyed content. I now feel confident in using Python for data analysis without any previous knowledge. The dedicated career service was also a great support."
Data Analyst Training Program
Ulrike
Participant
Data Scientist Further Training
"I found the format very helpful because it conveys a lot of knowledge."
Yeonhee Kim
Participant
BI Analyst Continuing Education
"The live sessions were helpful, as was the support from the mentors."
Georges Kanaan
Participants
Data Analyst Further Training
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Michael
Participants
AI specialist
"The training was easy to follow and well-structured. The examples, in particular, helped me understand the material better."
Shahrouz
Participants
Continuing Education for AI Professionals
"The course was well-structured, practical, and explained clearly. The hands-on exercises with Excel, Word, and PowerPoint, as well as the methods for verifying the results, were particularly helpful."
Ayu Distler
Participant
Python Programmer Training
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."

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+8,500 graduates
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FAQ

Our training programs are developed and produced by our in-house team of data scientists and subject matter experts, who provide you, as a participant, with personalized mentoring throughout the course. We not only focus on realistic and practical content, but also ensure through one-on-one interaction that all your questions are answered, thereby guaranteeing your learning success. Thanks to our “learning-by-doing“ approach, you’ll learn in our interactive learning environment using realistic datasets and real-world business cases from the industry, perfectly preparing you for a successful career start in a data-related role.
With StackFuel, you’re choosing a market leader with Germany’s most innovative learning platform to develop your data skills in a hands-on way. In certified training programs, you’ll learn online on weekdays between 8:30 a.m. and 5:30 p.m.—in live, guided sessions featuring 80 % of practical content. This will help you successfully transition into a career as a data analyst or data scientist and teach you how to professionally apply data and the fundamentals of artificial intelligence. Your new data career begins with your online training at StackFuel.
AI and data have become an integral part of our (professional) lives. Those who understand how to analyze data, use AI tools efficiently, and leverage AI applications possess in-demand skills for the workplace of tomorrow. That’s exactly why people with AI and data skills are particularly valuable to companies—and why new career opportunities are opening up in many industries and professional fields.