Data Expert

Data is the new oil: a valuable raw material for gaining a competitive edge, making more precise decisions, and developing new business models. When used in a structured way, data shapes new processes, reveals potential, and acts as an invisible source of energy for innovation and transformation. In this continuing education program, you will become a data expert, recognize opportunities in data-driven situations, implement data projects economically, and anchor them sustainably in the organization. 

Discover further education

This master class offers you

Become a certified data expert in 4 months

4 online courses with a learning time of 80 hours

Learn alongside your job in live webinars and self-study phases

Certificate of completion & Open Badge upon completion

Your future as a data expert

Your benefit

With this master class, you will become the central point of contact for data-driven initiatives and actively shape the future of your company: 

  • Identify data-driven areas of action: You recognize relevant data-driven use cases and derive new opportunities for your company. 
  • Strengthen data-driven competitiveness: You make your company more efficient, forward-looking, and resilient, thereby securing sustainable advantages in the market. 
  • Combining business, IT, and data science: You bridge specialist requirements and technical implementation and promote effective, interdisciplinary collaboration. 
  • Scaling data value creation: You set up economically relevant data projects, prioritize them strategically, and drive their implementation in a structured manner. 
  • Embed data literacy and data-driven working methods: You will transfer data-based solutions into operational use and shape a sustainable, data-oriented decision-making culture. 

How to learn

Our learning concept combines various methods and offers you the ideal mix for learning, applying, and networking. With Future Jobs Classes, you can expand your skills for the working world of the future and learn in a flexible, practical way while continuing to work.

1. Live events & learning community

Whether online or on-site: you will meet your trainers the other participants in person during regular live sessions. You will gain new knowledge, receive answers to your questions, and get specific help to deepen what you have learned and apply it directly in practice. The live sessions take place during the week at working hours.

2. Self-study phases

Learn independently, at your own pace and whenever you want. We provide you with high-quality materials – consisting of videos, texts, interactive exercises, practical tasks, and quizzes. You can plan your self-study phases flexibly.

3. Learning community

You don't learn alone: the digital learning community is available to you throughout your learning journey. trainers with other participants and trainers , clarify questions, and discover new perspectives.

4. Practical coaching

In the Master Class, you will have the opportunity to address your personal questions, challenges, and learning goals in a 1:1 practical coaching session—so that knowledge can be turned into real change. The practical coaching session will take place with the speaker of your choice and will be coordinated with them during the Master Class.

5. Examination

In the end, the focus is on practical application. With the final exam or project assignment, you demonstrate that you have understood and applied your knowledge and transferred it to your professional reality. After successfully passing the exam, you will receive a certificate and Open Badge confirming your achievements.

6. Future Jobs Club

Become part of an exclusive community for future shapers. In the Future Jobs Club, you'll benefit from exciting ideas, events, experts, and practical insights into the working world of tomorrow. This will help you stay connected, inspired, and fit for the future.

7. E-learning library

Get access to an extensive digital learning library with up-to-date e-learning courses, videos, and learning prompts on topics related to future skills, AI, data analytics, new work, and change management. Ideal for deepening your knowledge on demand and staying on top of things.

Contents

Discover all the content of this training program: The Junior Class includes courses 1-2, the Professional Class includes courses 1-3, and the Master Class includes all courses, including the final exam and practical coaching.

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Overview

Module overview

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Target groups

This training course is suitable for anyone who wants to develop a strong data mindset and learn how to create real added value through data in order to define PoCs for data and AI projects and evaluate their feasibility. To do this, you will orchestrate solutions and communicate successfully between the business areas and IT.  

  • Project managers in data projects 
  • process managers 
  • Professionals from controlling, HR, finance, etc. who are frustrated with xls sheets 
  • IT specialists and individuals who are proficient in a scripting language 
  • People who have little prior experience with data but are interested in learning more about it 
  • career changers 

Certifications & Seals

After completing the Future Jobs Classes, you will receive an Open Badge (a recognized digital certificate of participation). This verifiable proof is the current standard for inclusion in career networks such as LinkedIn. It allows you to digitally demonstrate the skills you have acquired.

Following a user survey, Statista named Haufe Akademie the winner Haufe Akademie the "Professional Development" category in its ranking of Germany's top continuing education providers for 2025.

The experts

Dr. Nicole Höher

Doctor of Marine Science and Senior Project Manager at the intersection of sustainability, digitalization, and automation. I develop and manage AI, data science, and automation solutions that combine environmental impact, economic viability, and social responsibility—from strategy to implementation.
Dr. Nicole Höher

"As a trainer, I am open to new ideas, flexible in my approach, and approachable. It is important to me to design practical and interactive training courses that convey relevant content and offer participants moments of insight—this is how knowledge is successfully transferred to the individual's area of application."

Doctor of Marine Science and Senior Project Manager at the intersection of sustainability, digitalization, and automation. I develop and manage AI, data science, and automation solutions that combine environmental impact, economic viability, and social responsibility—from strategy to implementation.

Paul Christian Wallbott

Physicist (Ph.D.). Data scientist. Trainer and consultant in the field of data science.
Paul Christian Wallbott

"As a trainer, my goal is clear: I want to enable participants to translate theoretical knowledge into practical applications. This is achieved by imparting sound basic knowledge and practical examples. In this way, I want to enable participants to generate real added value for companies and to differentiate between reality and hype."

Physicist (Ph.D.). Data scientist. Trainer and consultant in the field of data science.

Dr. Sandra Romeis

As a statistician with a PhD and an interdisciplinary background, and a proven expert in digitalization, artificial intelligence, and data science, I combine analytical depth with effective change management. It is important to me to get people on board and help companies move forward. I support digital transformation—from data-driven projects and coaching employees and managers to corporate and organizational development and change management. In doing so, I translate complex technologies into understandable decision-making bases and create spaces for learning, reflection, and sustainable impact.
Dr. Sandra Romeis

"My goal is to work with people and companies to shape a digital transformation that is tangible and accessible. I start where people are - because only through genuine understanding can a connection between people and technology be created that enables sustainable and successful digitalization."

As a statistician with a PhD and an interdisciplinary background, and a proven expert in digitalization, artificial intelligence, and data science, I combine analytical depth with effective change management. It is important to me to get people on board and help companies move forward. I support digital transformation—from data-driven projects and coaching employees and managers to corporate and organizational development and change management. In doing so, I translate complex technologies into understandable decision-making bases and create spaces for learning, reflection, and sustainable impact.

Professor Johannes Stübinger

Professor Johannes Stübinger

Frequently asked questions

How do I learn in a Future Jobs Class?

In Future Jobs Classes, you learn independently and alongside your job using the blended learning concept. In live webinars, you can ask questions and trainers with trainers . The digital learning community allows you to interact with other participants and experts. In the self-study phases, you can acquire knowledge at your own pace. The courses offer videos, articles, interactive exercises, quizzes, and learning assessments. In the Master Class, you also benefit from individual practical coaching.

Are the courses fixed, or can I put them together myself?

The Future Jobs Classes consist of predefined modules that build on each other. Together with subject matter experts , we subject matter experts developed learning journeys that will best help you achieve your goals. For optimal learning success, you should follow the sequence. You can book individual courses separately in Haufe Akademie or opt for the Junior, Professional, or Master Class at a discounted package price.

Is the order of the courses predetermined?

Each Future Jobs Class has a specific sequence of courses so that the content builds on each other in a meaningful way. We recommend following this sequence for better learning success. However, you also have the option of scheduling the courses in a sequence that suits you. To do this, select the appropriate start dates for each course during the booking process (step "Dates & Booking") or after booking in your learning environment.

Do I need any previous knowledge?

For most Future Jobs Classes, you don't need any prior knowledge to participate. Each class starts with the basics and then quickly delves into the depths of the individual topics. It's important that you have a keen interest in the topic and are motivated to further your personal development. If certain prior knowledge is required, this will be clearly listed on the respective product page.

Can I upgrade, e.g. from the Junior to the Master Class?

An upgrade is possible: You can book additional modules after completing an individual course or after the Junior or Professional Class. Courses you have already completed will be credited, so you only need to catch up on the missing content. Upgrading also extends the access time for the content. Access time to the content always refers to the individual courses, e.g., 12 months from the start of Course 1, 12 months from the start of Course 2, etc. Our advisory team will assist you with planning and registration. Please feel free to contact us directly at service@haufe-akademie.de.

Can I rebook individual webinar appointments?

If you miss a webinar, you cannot make it up in another session. Participation in the live sessions is not mandatory; you can review the content using the learning materials and Miro boards. You can ask your individual questions at any time via the learning community. If you rebook the entire course, the Terms and conditions apply.

Can I contribute my own data and use cases?

Your own data and use cases are always welcome; Future Jobs Classes place great emphasis on practical relevance. You can apply what you have learned directly to your project and receive feedback from experts fellow learners. This allows you to achieve lasting learning success and benefit maximally from the Future Jobs Classes learning concept.

What does the learning environment look like and how is the content delivered?

The learning environment is digital and intuitive. Content is provided in the form of videos, articles, interactive exercises, quizzes, and PDF documents. You can access all materials throughout the entire course. Feel free to take a look at the "Product Preview" on the respective product page, where you will find a preview of the learning environment. Here you will find an example of a product preview for the Master Class "Business Automation Manager."

Are there any funding opportunities, such as through an education voucher or KOMPASS?

Funding through the education voucher offered by the Employment Agency is currently not available. However, there are other funding programs and support options for Future Jobs Classes. Here you will find an overview of the funding currently available.

What is practical coaching and how do I book it?

Practical coaching is one-on-one coaching with the trainers . You work on your individual questions and challenges, reflect on your learning progress, and receive valuable feedback. Coaching is included in the Master Class (2 hours) or can be booked separately. To arrange a session, simplytrainer yourtrainer and agree on the dates.

Arrange an appointment online

Personal consultation

Do you have any questions about the content or the learning concept? Patrizia Schwarzer, product manager for this continuing education program, will be happy to answer your questions in a personal, no-obligation consultation. Simply select a convenient date and time, and the consultation will take place online via MS Teams. We look forward to talking with you.

Select a consultation date
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Book your Future Jobs Class

To help you find the training program that suits you best, we offer the Future Jobs Class in three different formats. In addition to all courses, the Master Class includes personal practical coaching, a final exam, and a certificate.

Junior Class

2.590,00
plus VAT* as package price
instead of €2,780.00 plus VAT for individual bookings
discount
Course
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Access to learning community & Future JobsClub1
Certificate of attendance for all courses
Access to e-learninglibrary2
Practicalcoaching3
E-test
Certificate
Booking No.: 42602

Professional Class

3.490,00
plus VAT* as package price
instead of €4,170.00 plus VAT for individual bookings
discount
Course
{{ n }}
Access to learning community & Future JobsClub1
Certificate of attendance for all courses
Access to e-learninglibrary2
Practicalcoaching3
E-test
Certificate
Booking No.: 42601

Master Class

4.590,00
plus VAT* as package price
instead of $6,250.00 plus VAT for individual bookings
discount
Course
{{ n }}
Access to learning community & Future JobsClub1
Certificate of attendance for all courses
Access to e-learninglibrary2
Practicalcoaching3
E-test
Certificate
Booking No.: 42600
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Show pricing information and details

* All prices are subject to 19% VAT.
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1) Unlimited membership in the Haufe Akademie Future Jobs Club Haufe Akademie exclusive information and offers. Participation is via Microsoft Teams and can be revoked at any time.

2) Unlimited access to selected e-learning courses from the Haufe Akademie program for a period of twelve months from the date of booking the class.

3) Two one-hour personal practice coaching sessions with selected trainers . The coaching sessions take place online and can be booked from the start of the first course until three months after completing the exam.



Please note: We use third-party tools for selected events. Participants' personal data is passed on to these third parties for the purpose of providing the training program. For more information, please see ourprivacy policy. IfMirois used, you can voluntarily register with Miro for extended functionality and an optimal learning experience. Information on data processing can be found inMiro's privacy policy. If ChatGPT is used, please refer toOpenAI's privacy policy.

Choose a specialization

You can choose a specialization in the Master Class. This is included in the price of the Master Class. You can select the terms in the next booking step.

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Dates & Booking

Downloads & White Papers

Testimonials

Here, participants in the Future Jobs Classes report on their personal and professional development. How do they make the leap into new job roles? Which skills will make a difference in the future? And which learning paths work in practice? Let yourself be inspired!

Future Jobs brochure

The Future Jobs Classes prepare you comprehensively for the jobs of the future. Discover a compact overview of all Future Jobs in our brochure and find out more about the special learning concept.

Data storytelling

Data storytelling gives numbers meaning and gets people to listen, understand and act. Find out how to bring your numbers to life here.

Predictive analytics

Patterns in data enable well-founded predictions for the future. This allows you to act proactively, minimize risks and take advantage of opportunities. This article reveals how this works.

About us - the Haufe Akademie

Figures | Data | Facts

18.000+

Events during the year

3.500+

Various topics

2.600+

trainers and coaches

620.000+

Learners per year

6.500+

Live online training

74+

Venues

Do you have any questions?

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Let us advise you

We can help you with your questions about the jobs & skills of the future.

Course

Junior Class Data Specialist
Professional Class Data Expert
Master Class Data Expert
isMaster

Courses

From PoC to data product
Companies invest a lot of resources in proof-of-concepts. But only a fraction of them make it into productive use. This course shows you how to develop viable data products from PoCs that run reliably, generate real business impact, and gain organizational acceptance. With practical methods, basic architectural principles, and clear decision-making logic, you will learn how to structure, operate, and effectively communicate data solutions.

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).

  • You understand why the transition from PoC to productive solution is the decisive success factor for data projectsand how to design it systematically. 
  • You recognize the technical, organizational, and communication requirements that a data product must meet in order to function reliably in everyday use. 
  • You will learn to evaluate PoCs in a structured manner and make informed decisions about whether to continue, stop, or pivot. 
  • You know how data solutions are automated, monitored, and managed throughout their lifecycle. 
  • You can document data products in such a way that they are traceable and reproducible. 
  • You master storytelling, reporting, and change communication as key levers for building acceptance and making business impact visible
  • You will gain qualifications in a field of expertise that will be indispensable in all data-driven companies in the future. 
  • You benefit from an active learning community, practical exercises, and the opportunity to contribute your own use cases. 
  • You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.

  • Take an active part in our learning community and work with your own questions - this is how you will benefit most from this online training. This allows you to apply the content both in self-study and in practical exercises.

 

Online
Master Class Data Expert exam
isExam

The prerequisite for taking the exam is successful participation in the four Master Class courses. We recommend attending all courses within a maximum of two years and taking the exam close to the last course attended. 

Learning is only successful when theory can be transferred into practice. That is why the Master Class Data Expert exam is designed with this in mind. The exam consists of an e-exam with 20 multiple-choice questions and a practical exam, for which you will work out a practical example at the end of the Master Class. Both parts can be completed flexibly at work or from home.

The content of all four Master Class courses is relevant for the exam.As soon as you have booked the exam, you will see it in your learning environment.There is a tile with more detailed information about the exam, as well as a small mini-preview of the format of the e-exam with various sample questions.  

The exam takes place online. It can be completed from the comfort of your own home or office within a set time frame. It consists of two parts: 

  • E-exam: 20 multiple-choice questions on the content of the four Master Class courses. 
  • Practical exam: Development of a practical data example. Depending on the preparatory work in the four Master Class courses, approximately 3–4 hours should be allocated for this task.  
Online
From machine learning to AI
Machine learning goals vary depending on the company. Learn how to design, train, evaluate, and deploy your own ML models in your company. In this course, you will learn the basics of ML and different model types (including simple neural networks). Gain insights into common applications of (generative) AI in business and the basics of LLMs and applications based on them (RAGs, AI apps such as ChatGPT, automation, agents). The core of the course is a continuous practical project in which you carry out all phases of an ML project yourself.

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).

  • You understand the central principles of modern AI and ML methods and can differentiate between which method is suitable for which problem.
  • You will learn how to set up ML projects correctly from the outset —from requirements to data understanding to data preparation with pipelines.
  • You can systematically model data and select, apply, and evaluate common models —from simple regression methods to decision trees to simple neural networks.
  • You know how to make ML solutions productive in your company 
  • You will learn how to use large language models (LLMs) in a targeted and responsible manner within your company and understand the most important legal and organizational frameworks, such as data protection and the EU AI Act.
  • This will qualify you to successfully carry out practical ML and AI projects and build skills that are increasingly business-critical in data-driven organizations.
Online
Fundamentals for data-driven products
This course teaches the fundamental skills required to understand data thoroughly and use it to make sound decisions for a proof of concept (PoC). You will learn how to systematically explore data, formulate hypotheses, analyze time series, and document findings in such a way that they can be directly transferred to the next project phase.

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).

  • You understand how a PoC is structured and what really matters in the early stages. 
  • You will learn how to explore data in a structured way and confidently recognize initial patterns. 
  • You understand how hypotheses create structure, focus, and clarity in data projects. 
  • You recognize which data structures are relevant—and when a data set is unsuitable for a PoC
  • You understand how to classify missing values, outliers, or measurement errors
  • You are able to apply statistical principles in a targeted manner to better understand correlations. 
  • You know how to classify time seriesand can recognize and interpret important patterns. 
  • You document findings in such a way that they can be directly reused in the project. 
  • You are able toderive meaningful adjustments, transformations, and next steps
  • Based on your analyses, you make an informed go/no-go decision for the PoC

 

Online
Getting started with successful data projects
Companies often possess a vast amount of data but lack a clear understanding of how to utilize it strategically. This course utilizes practical methods and best practices to demonstrate how to establish the prerequisites for a successful data project. You will also gain an understanding of the path from an initial idea to measurable results in the field of data and artificial intelligence.

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).

  • You understand how data science and artificial intelligence can support you in data-driven projects to generate significant added value .
  • You will learn the prerequisites for a data-driven project by creating the necessary data mindset and highlighting the corresponding change management.
  • You will receive a clear roadmap of the steps required in a data-driven project and will be able to define the necessary tasks and roles.
  • You will learn how to use data strategically and how to develop a compelling value proposition to ensure that your data projects directly contribute to business objectives.
Online

Orderables

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March 11, 2027
61462486
December 3, 2026
61461528
February 1, 2027
61461553
November 2, 2026
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April 12, 2027
61460192
January 12, 2027
61460114
January 13, 2027
61460203
October 7, 2026
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August 27, 2026
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October 6, 2026
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September 8, 2026
is fixed
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August 13, 2026
is fixed
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August 4, 2026
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May 4, 2026
is fixed
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July 2, 2026
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April 2, 2026
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