Data Science

Become a data science expert and learn everything you need to stand out in the job market—from data quality and SQL to Python analytics, machine learning, and AI automation—in this continuing education program. You’ll combine data science with process analysis and build a compelling portfolio project to showcase your skills.

Choose your option

All tracks include Data Quality in Practice, Business Analysis, AI Automation, SQL, Power BI, Data Analytics, Data Science, Object-Oriented Programming, and a portfolio project.

Your version: Change Management · 11–12 months, full-timeChange Management with Copilot · 10–11 months, full-timeStrategic AI Management · 11–12 months, full-time

What is Data Science?

Data scientists develop models that derive predictions and patterns from data, while also understanding how those results impact the business. With this continuing education program, you’ll demonstrate your expertise in machine learning, programming, and integrating results into organizations. Your StackFuel certificates and portfolio will showcase this to employers.

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

You’ll learn to query data using SQL, verify and prepare it in Excel, and visualize it as dashboards in Power BI. You’ll analyze data using Python and pandas, develop machine learning models in the data science module, and write maintainable code using object-oriented programming. Through 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 how to query data using SQL, verify and prepare it in Excel, and visualize it as dashboards in Power BI. You’ll analyze data using Python and pandas, develop machine learning models in the data science module, write maintainable code using object-oriented programming, and work more productively in your day-to-day office tasks with Microsoft Copilot. Through 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 how to query data using SQL, verify and prepare it in Excel, and visualize it as dashboards in Power BI. You’ll analyze data using Python and pandas, develop machine learning models in the data science module, write maintainable code using object-oriented programming, and work more productively in your day-to-day office routine with Microsoft Copilot. 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.

These courses are included in the training program:

Training

Data Quality in Practice - Focus Excel

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....

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.

2 weeks (full-time)

German

1 of 2 · Depending on your version

Your version

Training

AI specialist

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...

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

1 month (full-time)

German

Your version

Training

Microsoft Copilot - Deepening

Microsoft Copilot

Prompting

M365 Workflows

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.

1 week (full-time)

German

Training

Business analysis and process modeling

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....

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.

3 weeks (full-time)

German

1 of 2 · Depending on your version

Your version

Training

Change management and digital transformation

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....

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.

2 weeks (full-time)

German

Your version

Training

Strategic AI management

AI Strategy

AI Use Cases

AI Governance

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.

4 weeks (full-time)

German

Training

AI - Workflow & Automation

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....

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.

1 month (full-time)

German

Training

SQL & Relational Databases

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....

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.

4 weeks (full-time)

German

Training

Analytics & Reporting - Focus Power BI

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....

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.

4 weeks (full-time)

German

Training

Data Analytics

Python

pandas

Data visualization

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.

9 weeks (full-time)

German

Training

Data Science

Machine Learning

scikit-learn

PySpark

You'll develop predictive models using Python, ranging from supervised and unsupervised machine learning to neural networks and the processing of large datasets....

What? You'll brush up on the fundamentals of Python and math for data science, apply techniques such as regression, random forests, SVM, and k-means using scikit-learn, learn about NLP and neural networks with Keras, and work with large datasets using PySpark.
What for? So that you can derive reliable predictive models from data and evaluate their quality.
Practice: During the final exam, you will analyze large datasets, build predictive models, and discuss your results with our coaching team.

9 weeks (full-time)

German

Training

Object-Oriented Programming

Python Classes

Clean Code

You'll deepen your Python skills through object-oriented programming and write reusable, maintainable code....

What? You work with classes, inheritance, and composition; use decorators and comprehensions; and adapt your code to industry standards such as PEP8.
What for? So that you write code that your team can understand, maintain, and expand upon.
Practice: In two final projects, you'll build your own interface to a data science library and program your own blockchain.

6 weeks (full-time)

German

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....

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.

3 weeks (full-time)

German

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

Book consultation

11 Trainings
11–12 months10–11 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!

NEW

Data and AI literacy

Generative AI

AI safety and ethics

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

NEW

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.

Python Basics

Statistics basics

Data analytics with Python

NEW

Data Analysis with
LLM Assistance

Machine Learning

Feature Engineering

Model Deployment

NEW

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.

Basics of
Generative AI

Use cases

Prompting

AI ethics

Data Analysis with
LLM Assistance

Code Generation

SQL Queries

Data visualization

Direct Data
Analysis with LLMs

Machine Learning

Feature Engineering

Model Deployment

LLM-Driven Development for Machine Learning

Machine Learning

Model Deployment

Feature Engineering

NEW

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).

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:

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

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

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

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
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	02.11.2026	02.11.2026 11–12 months10–11 months Full-time	Full-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	02.11.2026	02.11.2026 23–24 months21–22 months22–23 months Part-time	Part-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	16.11.2026	16.11.2026 11–12 months10–11 months Full-time	Full-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	16.11.2026	16.11.2026 23–24 months21–22 months22–23 months Part-time	Part-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	30.11.2026	30.11.2026 11–12 months10–11 months Full-time	Full-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	30.11.2026	30.11.2026 23–24 months21–22 months22–23 months Part-time	Part-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	14.12.2026	14.12.2026 11–12 months10–11 months Full-time	Full-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	14.12.2026	14.12.2026 23–24 months21–22 months22–23 months Part-time	Part-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	11.01.2027	11.01.2027 11–12 months10–11 months Full-time	Full-time	Apply
Data Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management	11.01.2027	11.01.2027 23–24 months21–22 months22–23 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 Scientist – Change ManagementData Scientist – Change Management with CopilotData Scientist – Strategic AI Management 02.11.26 +4 more

02.11.2026
- Full-time - 11–12 months10–11 months
- Part-time - 23–24 months21–22 months22–23 months
16.11.2026
- Full-time - 11–12 months10–11 months
- Part-time - 23–24 months21–22 months22–23 months
30.11.2026
- Full-time - 11–12 months10–11 months
- Part-time - 23–24 months21–22 months22–23 months
14.12.2026
- Full-time - 11–12 months10–11 months
- Part-time - 23–24 months21–22 months22–23 months
11.01.2027
- Full-time - 11–12 months10–11 months
- Part-time - 23–24 months21–22 months22–23 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!

+8,500 graduates

93 % Completion rate

AZAV-certified

FAQ

What does a data scientist do, and how does a data science training program prepare you for that role?

A data scientist develops models that derive predictions and patterns from data. The data science continuing education program takes you from data analysis in Excel, SQL, Power BI, and Python to supervised and unsupervised machine learning, the fundamentals of neural networks, and the processing of large datasets. Business analysis—and, depending on your focus, change management or strategic AI management—will help you embed results within organizations.

What tools and methods will I learn in the data science training program?

You’ll move from the data foundation to the model: data quality, SQL, and Python analytics form the foundation, upon which you’ll build supervised and unsupervised machine learning, neural networks, and the processing of large datasets. Object-oriented programming makes your code maintainable, while business analysis—and, depending on your focus, change management or strategic AI management—anchors the results. Hands-on projects, live sessions, and our coaches support each module.

What practical projects will I work on during the data science training program?

In a final exam, you’ll develop predictive models based on large datasets and discuss the results with our coaching team. In addition, you’ll complete two final projects in Python—an interface to a data science library and your own blockchain—as well as hands-on projects in SQL and Power BI and a portfolio project with feedback from our coaches. Depending on your focus, you’ll also plan a change project or an AI roadmap.

Who is the Data Science continuing education program intended for, and how does it differ from continuing education programs in data analysis and business intelligence?

The Data Science continuing education program is a good fit if you want to develop predictive models and machine learning. Level: Advanced. You have professional experience in advanced programming with Python or in analyzing large datasets. Compared to the Data Analysis course, this one includes data science and object-oriented programming; compared to the Business Intelligence course, it also includes Python. This makes it more comprehensive than both.

How long does the data science training program last, and how does it work?

The Data Science continuing education program is a full-time program and lasts 10.9 to 11.6 months, depending on the focus. It consists of 11 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 data science 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 professional experience in advanced Python programming or in analyzing large datasets.