- TRAINING PROGRAM
Business Intelligence
Become a business intelligence expert and learn everything you need to stand out in the job market—from data quality to Power BI dashboards and AI automation—in this continuing education program. You’ll make data understandable for decision-making and build a compelling portfolio of work through a portfolio project.
- Full-time: approx. 40 hours/week · Part-time: approx. 20 hours/week
- Full-time: 5–6 months · Part-time: 10–11 monthsFull-time: 4–5 months · Part-time: 9–10 months
- A college degree with coursework in math and statistics or programming languages, or professional experience with statistics, databases, and programming languages (e.g., R).
- Lessons and learning materials in German.
Choose your option
All versions include "Data Quality in Practice," AI automation, Power BI, and the Portfolio Project.
Choose your option
What is Business Intelligence?
Business Intelligence makes data usable for business decisions: BI analysts prepare data, calculate key metrics, and present results in easy-to-understand dashboards. With this continuing education program, you’ll demonstrate that you support data-driven decisions with reports and interactive analyses. Your StackFuel certificates and your portfolio make this clear to employers.
Why is this BI analyst training course helpful, and what benefits do the certificates offer?
You’ll learn how to use modern AI tools in your day-to-day work, how to verify and prepare data in Excel, and how to present key metrics as dashboards in Power BI. Through business analysis, you’ll model processes; in change management, you’ll support organizational changes; and with n8n, you’ll build automated workflows and your own AI agents. You’ll apply your knowledge in a hands-on portfolio project. You’ll learn all of this during scheduled class times, supported by live sessions and our coaches.
You’ll learn to query data using SQL, analyze and prepare it in Excel, and present key metrics as dashboards in Power BI. You’ll use AI tools to work more productively in your day-to-day professional life, support change initiatives through change management, and build automated workflows and your own AI agents with n8n. In a portfolio project, you’ll apply your knowledge in a practical setting. You’ll learn everything during scheduled class times, supported by live sessions and our coaches.
You’ll learn how to query data using SQL, verify and prepare it in Excel, and present key metrics as dashboards in Power BI. With Microsoft Copilot, you’ll work more productively in your day-to-day office routine; in change management, you’ll support organizational changes; and with n8n, you’ll build automated workflows and your own AI agents. You’ll apply your knowledge in a hands-on portfolio project. You’ll learn all of this during scheduled class times, supported by live sessions and our coaches.
You'll learn how to query data using SQL, verify and prepare it in Excel, and present key metrics as dashboards in Power BI. With Microsoft Copilot, you’ll work more productively in your day-to-day office tasks; in strategic AI management, you’ll evaluate AI use cases; and with n8n, you’ll build automated workflows and your own AI agents. You’ll apply your knowledge in a hands-on portfolio project. You’ll learn all of this during scheduled class times, supported by live sessions and our coaches.
These courses are included in the training program:
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AI specialist Variant
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Data Quality in Practice - Focus Excel
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Microsoft Copilot - Deepening Variant
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Business analysis and process modeling Variant
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Change management and digital transformation Variant
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Strategic AI management Variant
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AI - Workflow & Automation
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Analytics & Reporting - Focus Power BI
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SQL & Relational Databases Variant
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Portfolio project
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AI specialist
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Data Quality in Practice - Focus Excel
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Microsoft Copilot - Deepening or Business analysis and process modeling
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Change management and digital transformation or Strategic AI management
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AI - Workflow & Automation
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Analytics & Reporting - Focus Power BI
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SQL & Relational Databases
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Portfolio project
- Understanding the basics of artificial intelligence, machine learning and generative models
- Know how Large Language Models (LLMs) work and their limitations
- Learn effective prompting to achieve precise and repeatable results
- Use AI for research, text generation, summaries and ideation
- Design workflows with AI support to automate recurring tasks
- Assessing the risks, bias and data protection aspects of AI use
- Apply best practices for the introduction of AI in the team and in the company
- What? You'll create data in structured tables, analyze it using functions such as VLOOKUP, pivot tables, and charts, learn about the dimensions of data quality, and clean up data using the PowerQuery Editor.
- What for? So that analyses and decisions are based on clean, verified data, and so that you can assess where Excel reaches its limits.
- Practice: In the final project, you will clean, verify, and analyze an unprocessed corporate dataset.
1 of 2 · Depending on your version
- What? You classify the Copilot variants in Microsoft 365, clarify data access and privacy, formulate prompts according to a fixed four-element structure, and systematically check AI outputs for errors and hallucinations.
- What for? So you can work on texts, emails, presentations, meetings, and Excel reports faster and more reliably.
- Practice: In the final project, you'll implement your own Copilot project across multiple apps and build your own personal prompt library.
- What? You analyze business contexts using methods such as SWOT and PESTLE, model processes using flowcharts, swimlanes, UML, and BPMN, gather and prioritize requirements, conduct gap analyses, and assess the business impact.
- What for? So that you can prepare for change initiatives in a structured way, involve stakeholders in a targeted manner, and enable decisions to be made on a solid foundation.
- Practice: For your final project, you will develop your own project proposal and present it to stakeholders.
1 of 2 · Depending on your version
- 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.
- What? You will identify and evaluate AI use cases, assess data quality and governance, take the GDPR and the EU AI Act into account, and learn how to implement AI strategies using change management, KPIs, and ROI analysis.
- What for? So you can make informed preparations for AI decisions, keep an eye on risks, and make the business value of AI measurable.
- Practice: In the final project, you will develop your own AI roadmap, including a business case and governance framework, and present it to the entire class.
- What? You'll learn n8n from the basics all the way to robust workflows, integrate APIs and data pipelines, use LLM nodes with advanced prompt engineering, and build AI agents with memory, knowledge integration (RAG), and tools.
- What for? So you can automate recurring tasks without programming and operate AI solutions in a reliable, privacy-compliant, and quality-assured manner.
- Practice: In this hands-on project, you will design, implement, and present your own automation solution over the course of four sprints and earn certification in AI – Workflow & Automation.
- What? You'll learn about the interface and basic functions of Power BI, prepare data using the Power Query Editor, design visualizations and dashboards, and calculate metrics using DAX and statistical methods.
- What for? So you can support data-driven decision-making in your company with clear reports and interactive analyses.
- Practice: You'll reinforce what you learn in each chapter through practical projects—four in total.
- What? You'll write queries using filters, groupings, joins, and subqueries; learn about normalization and database design; and use CTEs and analytical functions to generate metrics and rankings.
- What for? So that you can independently retrieve data from databases, aggregate it, and make it available throughout the company.
- Practice: You will work on four practical projects and, as part of your final project, independently analyze an unknown database.
- What? You'll select a data analytics or data science project, set up your work environment using Git and GitHub, organize your project with Notion, work using agile methods, and carry out a complete data project from analysis to presentation.
- What for? So you can show potential employers a real sample of your work instead of just a resume.
- Practice: You'll work on the project on your own or in a small group, receiving feedback from our coaches, and present it online to participants and StackFuel employees.
Your Program BI Analyst – AI, Data, and Change ManagementBI Analyst – Change ManagementBI Analyst – Change Management with CopilotBI Analyst – Strategic AI Management
Book consultation- 7 Trainings
- 5–6 months4–5 months full-time
- Part-time work is also possible
You are certified.
After completing each module, you will receive a certificate.
Each of these StackFuel certificates is recognized throughout the industry and demonstrates your acquired expertise to employers.
AI specialist Training program
Become an expert in using AI tools and learn the basics of AI and simple automation—
If you're interested, you can also combine this with other training programs!
- Confidently apply basic AI concepts and prompting techniques in a business context
- Sound evaluation of data and AI results
- Using simple AI solutions responsibly in the day-to-day work of specialist departments
- AI safety and ethics
Data Analyst Training: AI update
Learn Data Analysis with LLM Assistance in the newly expanded Data Analytics training and prepare yourself successfully for the jobs of tomorrow.
Data Analytics
Master data analysis, Python basics, statistical analysis, regression & effective visualization to make results actionable.
LLM Assistance
Learn data analysis with GenAI Tools
The complementary GenAI trainings are available to supplement your training program and help you to use LLMs for your work as a data professional.
Generative AI
LLM Assistance
Analysis with LLMs
Currently, there are over 100,000 jobs related to AI and technology that are unfilled in Germany.
StackFuel Career Service for your job entry.
To help you stand out in this market, we support you beyond the training itself. Through our personalized career coaching, we’ll optimize your resume, craft tailored cover letters, and refine your job application strategy. With interview and soft skills training, you’ll approach interviews and assessments with confidence. Regular feedback sessions, workshops, and networking events will strengthen your profile. In addition, we’ll support you with salary negotiations and helping you define your career goals.
Data and AI expertise is in higher demand than ever.
Our hands-on training programs combine interactive live sessions with real-world project work, where you’ll gain exactly the data and AI skills that headhunters and recruiters are looking for. Data experts are in demand across all industries: With a StackFuel training program, you’ll gain the qualifications needed to enter data and tech careers with AI expertise—such as data analyst, data scientist, data engineer, or project manager—and secure access to over 109,000 open tech and AI-related jobs (Source: Bitkom Research 2025, Source: PwC 2026).
What our graduates say.
Over 6,000 graduates have already completed data analytics and data science training courses at StackFuel. Here, some of them talk about their experience:
start dates.
The start dates apply to all options. The program name and duration are listed under your option.
| Training programTraining | Date | Date/Duration | Model | |
|---|---|---|---|---|
| 02.11.2026 |
02.11.2026
5–6 months4–5 months
Full-time
|
Full-time | Apply | |
| 02.11.2026 |
02.11.2026
10–11 months9–10 months
Part-time
|
Part-time | Apply | |
| 16.11.2026 |
16.11.2026
5–6 months4–5 months
Full-time
|
Full-time | Apply | |
| 16.11.2026 |
16.11.2026
10–11 months9–10 months
Part-time
|
Part-time | Apply | |
| 30.11.2026 |
30.11.2026
5–6 months4–5 months
Full-time
|
Full-time | Apply | |
| 30.11.2026 |
30.11.2026
10–11 months9–10 months
Part-time
|
Part-time | Apply | |
| 14.12.2026 |
14.12.2026
5–6 months4–5 months
Full-time
|
Full-time | Apply | |
| 14.12.2026 |
14.12.2026
10–11 months9–10 months
Part-time
|
Part-time | Apply | |
| 11.01.2027 |
11.01.2027
5–6 months4–5 months
Full-time
|
Full-time | Apply | |
| 11.01.2027 |
11.01.2027
10–11 months9–10 months
Part-time
|
Part-time | Apply |
start dates.
The start dates apply to all options. The program name and duration are listed under your option.
BI Analyst – AI, Data, and Change ManagementBI Analyst – Change ManagementBI Analyst – Change Management with CopilotBI Analyst – Strategic AI Management
02.11.26
+4 more
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02.11.2026
- Full-time - 5–6 months4–5 months
- Part-time - 10–11 months9–10 months
-
16.11.2026
- Full-time - 5–6 months4–5 months
- Part-time - 10–11 months9–10 months
-
30.11.2026
- Full-time - 5–6 months4–5 months
- Part-time - 10–11 months9–10 months
-
14.12.2026
- Full-time - 5–6 months4–5 months
- Part-time - 10–11 months9–10 months
-
11.01.2027
- Full-time - 5–6 months4–5 months
- Part-time - 10–11 months9–10 months
Get personal advice now.
Our team of experts will work with you to find a suitable training program and answer any questions you may have.
We look forward to seeing you!
FAQ
What does a BI analyst do, and how does the Business Intelligence training program prepare you for the role?
A BI analyst prepares data, calculates key metrics, and presents results in reports and dashboards so that business units can make decisions. The Business Intelligence training program takes you from data quality in Excel through data preparation with Power Query to key metrics using DAX and data storytelling in Power BI. Depending on your focus, change management or strategic AI management will round out your foundation.
What tools and methods will I learn in the Business Intelligence training program?
You’ll learn along the data chain: First, you’ll ensure data quality and prepare the data; then, you’ll calculate key metrics and present the results in easy-to-understand dashboards. Depending on your focus, change management, strategic AI management, or business analytics will round out your foundation, and you’ll use AI agents to automate recurring tasks. Hands-on projects, live sessions, and our coaches support each module.
What practical projects will I work on during the Business Intelligence training program?
You’ll clean and analyze an unprocessed corporate dataset and apply what you learn in each chapter of the Power BI training course through hands-on projects. Depending on your focus, you’ll also analyze an unknown database using SQL, plan an integrated change project, or develop an AI roadmap with a business case. In addition, you’ll complete an n8n workflow across four sprints and a portfolio project with feedback from our coaches.
Who is the Business Intelligence training program intended for, and how does it differ from the Data Analysis training program?
The Business Intelligence continuing education course is a good fit if you want to present data in reports and dashboards in a way that supports decision-making. Level: Intermediate. You have completed a degree program that included courses in mathematics, statistics, or programming, or you have professional experience with statistics, databases, or programming languages (e.g., R). Compared to the Data Analysis course, the focus here is on Power BI and dashboards rather than data analysis with Python.
How long does the Business Intelligence training program last, and how does it work?
The Business Intelligence continuing education program is a full-time program and lasts 4.7 to 5.3 months, depending on the focus. It consists of 7 modules, including a portfolio project in which you apply what you’ve learned. You’ll learn during scheduled class times with live sessions led by our coaches. The current start dates are listed in the table on this page. Would you like a personalized consultation about your continuing education options? Feel free to contact our team: info@stackfuel.com
How can I finance my Business Intelligence training?
With an education voucher, the Jobcenter or the Agency for Employment will cover 100% of the costs if you are registered as unemployed or a job seeker. As an employee, you can have your employer finance your continuing education through the Qualification Opportunities Act (QCG). Self-paying participants can pay directly or in installments. Our advisory team will guide you through the process until approval is granted.
What are the requirements?
You have completed a degree program that included courses in mathematics, statistics, or programming, or you have professional experience with statistics, databases, or programming languages (e.g., R).