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Data Analysis

Become an expert in data analysis and learn everything you need to stand out in the job market—from data quality and SQL to Python analytics, Power BI, and AI automation—in this continuing education program. You’ll combine data analysis with process analysis 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: 8–9 months · Part-time: 16–17 monthsFull-time: 7–8 months · Part-time: 14–15 monthsFull-time: 7–8 months · Part-time: 15–16 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 tracks include Data Quality in Practice, Business Analysis, AI Automation, SQL, Power BI, Data Analytics, and a portfolio project.

Your version: Change Management · 8–9 months, full-timeChange Management with Copilot · 7–8 months, full-timeStrategic AI Management · 7–8 months, full-time

What is Data Analysis?

Data analysts prepare company data, analyze it independently, and present the results in a way tailored to the target audience so that business units can make informed decisions. With this continuing education program, you’ll demonstrate that you can examine, analyze, and visualize data using SQL, Excel, and Python. Your StackFuel certificates and your portfolio make these skills transparent to employers.

Why is this data analyst training course helpful, and what benefits do the certificates offer?

You’ll learn to query data using SQL, verify and prepare it in Excel, and present it as dashboards in Power BI. Using Python and pandas, you’ll analyze data and even build your first predictive models. Using business analysis and change management, you’ll model processes and support change initiatives; with n8n, you’ll build AI agents; and in a portfolio project, you’ll apply your knowledge in a practical setting. 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, verify and prepare it in Excel, and visualize it as dashboards in Power BI. Using Python and pandas, you’ll analyze data and even build your first predictive models, and with Microsoft Copilot, you’ll work more productively in your day-to-day office routine. Using business analysis and change management, you’ll model processes and support change initiatives; with n8n, you’ll build AI agents; and in a portfolio project, you’ll apply your knowledge in a real-world context. 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, verify and prepare it in Excel, and visualize it as dashboards in Power BI. Using Python and pandas, you’ll analyze data and even build your first predictive models, and 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; with business analysis, you’ll model processes; with n8n, you’ll build AI agents; and in a portfolio project, you’ll apply your knowledge in a practical setting. You’ll learn all of this during scheduled class times, supported by live sessions and our coaches.

Zertifikat
Training
Data quality
Excel
PowerQuery
You organize and analyze data in Excel, ensure its quality using PowerQuery and validation routines, and thereby create a reliable foundation for decision-making. You organize and analyze data in Excel, ensure its quality using PowerQuery and validation routines, and thereby create a reliable foundation for decision-making....
  • 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.
Info icon 2 weeks (full-time)
Language Icon German

1 of 2 · Depending on your version

Your version
Zertifikat
Training
Generative AI & Large Language Models
Prompting & automation
Use cases in the corporate context
Learn how to use AI models such as ChatGPT and co. safely, efficiently and purposefully in your day-to-day work Learn how to use AI models such as ChatGPT and co. safely, efficiently and purposefully in your day-to-day work...
  • 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
Info icon 1 month (full-time)
Language Icon German
Your version
Zertifikat
Training
Microsoft Copilot
Prompting
M365 Workflows
You use Microsoft Copilot strategically in Word, Outlook, PowerPoint, Teams, and Excel, and achieve reliable results with clear prompts. You use Microsoft Copilot strategically in Word, Outlook, PowerPoint, Teams, and Excel, and achieve reliable results with clear prompts....
  • 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.
Info icon 1 week (full-time)
Language Icon German
Zertifikat
Training
Process modeling
Requirements Engineering
Stakeholder Management
You analyze business contexts, model processes, and use data and AI to bring change initiatives to the decision-making stage. You analyze business contexts, model processes, and use data and AI to bring change initiatives to the decision-making stage....
  • 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.
Info icon 3 weeks (full-time)
Language Icon German

1 of 2 · Depending on your version

Your version
Zertifikat
Training
Change Frameworks
Resistance & Stakeholders
Change KPIs
You analyze digital changes, manage them using appropriate change frameworks, and embed them sustainably within the organization through data and communication. You analyze digital changes, manage them using appropriate change frameworks, and embed them sustainably within the organization through data and communication....
  • 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.
Info icon 2 weeks (full-time)
Language Icon German
Your version
Zertifikat
Training
AI Strategy
AI Use Cases
AI Governance
You'll learn how to strategically plan, thoroughly evaluate, and responsibly implement AI initiatives. You'll learn how to strategically plan, thoroughly evaluate, and responsibly implement AI initiatives....
  • 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.
Info icon 4 weeks (full-time)
Language Icon German
Zertifikat
Training
n8n
AI Agents
AI - Workflow & Automation
With n8n, you can build stable automation workflows and your own AI agents that can be integrated into typical business processes. With n8n, you can build stable automation workflows and your own AI agents that can be integrated into typical business processes....
  • 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.
Info icon 1 month (full-time)
Language Icon German
Zertifikat
Training
SQL
Database design
CTEs & Window Functions
You query relational databases using SQL, design your own database schemas, and write analytical queries using CTEs and window functions. You query relational databases using SQL, design your own database schemas, and write analytical queries using CTEs and window functions....
  • 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.
Info icon 4 weeks (full-time)
Language Icon German
Zertifikat
Training
Power BI
DAX
Data Storytelling
You prepare data using Power Query, calculate metrics using DAX, and present the results in dashboards tailored to specific audiences. You prepare data using Power Query, calculate metrics using DAX, and present the results in dashboards tailored to specific audiences....
  • 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.
Info icon 4 weeks (full-time)
Language Icon German
Zertifikat
Training
Python
pandas
Data visualization
You'll analyze data using Python, from importing and cleaning to visualization and creating initial predictive models. You'll analyze data using Python, from importing and cleaning to visualization and creating initial predictive models....
  • What? You'll learn the basics of Python and work with pandas and matplotlib, use SQL and APIs in Python, and apply statistical methods as well as linear and logistic regression.
  • What for? So that you can analyze company data on your own and visualize the results in a way that is tailored to your target audience.
  • Practice: You'll analyze New York City taxi data and, as your final exam, work on a case study involving customer churn at a telecommunications company, which you'll discuss with our coaching team.
Info icon 9 weeks (full-time)
Language Icon German
Zertifikat
Training
Portfolio project
Git & GitHub
Agile Teamwork
Together with our coaches, you'll carry out your own data project, which will help you build a compelling portfolio to include with your job applications. Together with our coaches, you'll carry out your own data project, which will help you build a compelling portfolio to include with your job applications....
  • 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.
Info icon 3 weeks (full-time)
Language Icon German

Your Program Data Analyst – Change ManagementData Analyst – Change Management with CopilotData Analyst – Strategic AI Management

Book consultation
  • 9 Trainings
  • 8–9 months7–8 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.

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Currently, there are over 100,000 jobs related to AI and technology that are unfilled in Germany.

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Career Service supports students with applications, career planning and career entry.

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).

Discover careers in data analytics and data science at StackFuel.
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Data jobs overview with StackFuel logo and analysis graphics.
Marketing Analyst
Data Manager
BI Analyst
Data Analyst
Data Scientist
Financial Analyst
Product Analyst

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:

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
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
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
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
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
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
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
The next
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 8–9 months7–8 months Full-time
Full-time Apply
02.11.2026
02.11.2026 16–17 months14–15 months15–16 months Part-time
Part-time Apply
16.11.2026
16.11.2026 8–9 months7–8 months Full-time
Full-time Apply
16.11.2026
16.11.2026 16–17 months14–15 months15–16 months Part-time
Part-time Apply
30.11.2026
30.11.2026 8–9 months7–8 months Full-time
Full-time Apply
30.11.2026
30.11.2026 16–17 months14–15 months15–16 months Part-time
Part-time Apply
14.12.2026
14.12.2026 8–9 months7–8 months Full-time
Full-time Apply
14.12.2026
14.12.2026 16–17 months14–15 months15–16 months Part-time
Part-time Apply
11.01.2027
11.01.2027 8–9 months7–8 months Full-time
Full-time Apply
11.01.2027
11.01.2027 16–17 months14–15 months15–16 months Part-time
Part-time Apply
The next
start dates.

The start dates apply to all options. The program name and duration are listed under your option.

Training
Start dates
Data Analysis Data Analyst – Change ManagementData Analyst – Change Management with CopilotData Analyst – Strategic AI Management 02.11.26 +4 more
  • 02.11.2026
    • Full-time - 8–9 months7–8 months
    • Part-time - 16–17 months14–15 months15–16 months
  • 16.11.2026
    • Full-time - 8–9 months7–8 months
    • Part-time - 16–17 months14–15 months15–16 months
  • 30.11.2026
    • Full-time - 8–9 months7–8 months
    • Part-time - 16–17 months14–15 months15–16 months
  • 14.12.2026
    • Full-time - 8–9 months7–8 months
    • Part-time - 16–17 months14–15 months15–16 months
  • 11.01.2027
    • Full-time - 8–9 months7–8 months
    • Part-time - 16–17 months14–15 months15–16 months
Apply

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!

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+8,500 graduates
93 % Completion rate
AZAV-certified

FAQ

A data analyst prepares and analyzes company data and presents the results in a way that enables business units to make decisions based on them. The data analysis training program takes you from data quality in Excel through SQL and Python analytics to dashboards in Power BI. Depending on your focus, you’ll also cover change management or strategic AI management, in some cases using Microsoft Copilot.

You’ll work your way through the analysis process step by step: structuring data and checking its quality, querying it with SQL, analyzing it with Python and statistical methods, and presenting the results in dashboards tailored to the target audience. Business analysis—and, depending on your focus, change management or strategic AI management—will help you embed the results within the company. Practical projects, live sessions, and our coaches support each module.

You’ll clean and analyze an unprocessed corporate dataset, analyze an unfamiliar database using SQL, and reinforce each chapter of Power BI through hands-on projects. In Python, you’ll analyze New York City taxi data and, as your final exam, work on a case study involving customer churn, which you’ll discuss with our coaching team. The program concludes with a portfolio project featuring feedback from our coaches.

The Data Analysis continuing education program is a good fit if you want to analyze data independently and prepare it for 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 Science course, this program does not cover machine learning or object-oriented programming; compared to the Business Intelligence course, it includes data analysis using Python.

The Data Analysis continuing education program is a full-time program and lasts 7.4 to 8.1 months, depending on the focus. It consists of 9 modules, including a portfolio project in which you apply what you’ve learned. You’ll learn during set class times with live sessions led by our coaches. The current start dates are listed in the table on this page. Would you like personalized advice on your continuing education options? Feel free to contact our team: info@stackfuel.com

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.

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).