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  • TRAINING

Business analysis and process modeling.

Learn how to apply business analysis systematically to professionally structure and evaluate business processes, requirements, and change initiatives. Data and AI are a central focus throughout the course.

Full/Part time
3 weeks (full-time)
Advanced
German
Business Analyst analyzes data and strategies for digital business growth.

What is business analysis?

Business analysis is the discipline in which you analyze the business context, model processes, and structure requirements for change initiatives. It serves as the bridge between business units, IT, and data teams, and is the backbone of modern transformation projects.

Who is this training program suitable for?

This training is designed for career changers and professionals who want to enter the field of business analysis or expand their skills in process modeling, requirements engineering, and data-driven decision-making. No prior technical knowledge is required, but an interest in structured thinking is essential.

For which professional groups is the training relevant?

This training is relevant across industries and qualifies you for in-demand cross-functional roles. It is particularly well-suited for the following positions:

  • As a business analyst, you translate business requirements into clear specifications for IT and data teams
  • As a process manager, you model business processes using BPMN, UML, and swimlanes, and identify opportunities for improvement
  • As a project team member on transformation projects, you will analyze current and target states and develop corresponding actions
  • As someone new to the consulting field, you’ll use frameworks and methodologies to manage client projects in a structured way
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In this training you will learn:

Business analysis
Process modeling
AI-powered requirements analysis
  • Understanding the relationships between business context, requirements, processes, and stakeholders
  • Modeling and analyzing business processes using flowcharts, swimlanes, UML, and BPMN
  • Systematically identify, organize, and prioritize requirements
  • Conduct a gap analysis, compare actual and target conditions, and identify corrective actions
  • Assessing the Business Impact of Changes in a Structured Manner
  • Identify, analyze, and manage stakeholders throughout the project
  • Use AI specifically for requirements analysis, structuring, and business case preparation
  • Draft project proposals and present them persuasively to stakeholders
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
Business Context and Process Modeling
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You will understand business transformation, define the role of business analysis, and model processes in a structured way.

Chapter 1: Business Transformation in the Age of AI

You will learn what business transformation means and what role AI plays as a driver and tool.

Chapter 2: Introduction to Business Analysis

You will define the role of business analysis in organizations and learn about typical tasks and deliverables.

Chapter 3: Analyzing the Business Context

You will analyze the business context using established frameworks such as PESTLE, SWOT, and Porter, and derive areas for action from them.

Chapter 4: Process Modeling

You will model business processes using flowcharts, swimlanes, UML, and BPMN. You will analyze current processes and develop target processes.

2
Requirement Engineering, Gap Analysis, and Business Impact Assessment
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You gather requirements, analyze gaps, and assess the impact of changes.

Chapter 1: Requirements Engineering

You gather requirements through interviews, workshops, and observations, and organize them in a way that stakeholders can understand.

Chapter 2: Gap Analysis

You compare current and target states and derive concrete measures and initiatives from them.

Chapter 3: Business Impact Assessment

You systematically assess the business impact of changes and make them tangible for decision-making.

Chapter 4: Side Note: Data Literacy for Business Analysts

You will learn the fundamentals of data-driven decision-making and use data strategically for your analyses.

3
Managing Stakeholders, Projects, Change, and Impact
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You engage stakeholders, support change processes, and evaluate the benefits achieved.

Chapter 1: Overview of Project and Change Management Basics

You will gain a concise overview of the fundamentals of project and change management that are relevant to business analysts.

Chapter 2: Stakeholder Management

You systematically identify stakeholders, analyze their influence and interests, and actively manage relationships throughout the project.

Chapter 3: Benefit Assessment

You will evaluate project success and business benefits in a structured manner and demonstrate value creation using key performance indicators.

Chapter 4: Continuous Improvement

You identify potential for improvement at the team, organizational, and process levels and embed continuous improvement into daily operations.

4
Presenting to Stakeholders and Final Project
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You will develop project proposals, deliver compelling presentations, and apply all the material in your final project.

Chapter 1: Deep Dive Project Proposal

You will draft structured and compelling project proposals that help stakeholders reach a decision.

Chapter 2: Tips for Effective Presentations

You will learn to convey complex content in a way that is tailored to your audience and supported by clear visualizations.

Chapter 3: Final Project

You will apply the methods covered in the course to an integrated project, from context analysis to presentation.

Chapter 4: Outlook and Final Quiz

You will reflect on your learning journey, receive suggestions for further topics, and conclude the training with the final quiz.

This training is part of the training programs:
In this training you will learn:
Business analysis
Process modeling
AI-powered requirements analysis
  • Understanding the relationships between business context, requirements, processes, and stakeholders
  • Modeling and analyzing business processes using flowcharts, swimlanes, UML, and BPMN
  • Systematically identify, organize, and prioritize requirements
  • Conduct a gap analysis, compare actual and target conditions, and identify corrective actions
  • Assessing the Business Impact of Changes in a Structured Manner
  • Identify, analyze, and manage stakeholders throughout the project
  • Use AI specifically for requirements analysis, structuring, and business case preparation
  • Draft project proposals and present them persuasively to stakeholders

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.

Flexible

Completely online and full or part-time, you can train in the way that works best for you.

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
19.10.2026
19.10.2026 4 months Full-time
Full-time Apply
19.10.2026
19.10.2026 8 months Part-time
Part-time Apply
19.10.2026
19.10.2026 4 months Full-time
Full-time Apply
19.10.2026
19.10.2026 8 months Part-time
Part-time Apply
26.10.2026
26.10.2026 4 months Full-time
Full-time Apply
26.10.2026
26.10.2026 8 months Part-time
Part-time Apply
26.10.2026
26.10.2026 4 months Full-time
Full-time Apply
26.10.2026
26.10.2026 8 months Part-time
Part-time Apply
The next
start dates.
Training
Start dates
BI Analyst – Focus on Data & AI BI Analyst - focus on data & AI 19.10.26 +1 more
  • 19.10.2026
    • Full-time - 4 months
    • Part-time - 8 months
  • 26.10.2026
    • Full-time - 4 months
    • Part-time - 8 months
Apply
AI & Data Transformation Manager AI & Data Transformation Manager 19.10.26 +1 more
  • 19.10.2026
    • Full-time - 4 months
    • Part-time - 8 months
  • 26.10.2026
    • Full-time - 4 months
    • Part-time - 8 months
Apply

Here's what our participants have to say:.

Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:

Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."
Beatrix Bauer
Junior Financial Data Engineer
Telefonica Germany
"With StackFuel, I was able to learn at a time that suits me, at my own pace and in a place where I feel comfortable."
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
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."
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."
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
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."
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."
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."
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
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
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
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."
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."
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
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
Maxi
Participant
BI Analyst Continuing Education
"The mentoring team is always available, and the schedule is flexible."
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."
Philipp Buthmann
Participants
Python Programmer
"The overall vibe was just always really great!"

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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. Through certified training programs, you’ll learn online, on your own schedule, with 80 % of practical content. This will help you successfully transition into a career as a data analyst or data scientist, and you’ll learn how to apply data and the fundamentals of artificial intelligence professionally. Your new career in data starts 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.
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