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Understanding and using data: Your introduction to data literacy

Get AI-Ready—with Solid Data Literacy as Your Foundation

training
Focus AI
This training is held in German.
AI tools are only as good as the data you use with them. In this training the foundation you need to use AI safely and effectively: You’ll learn to read, question, and communicate data—and understand why this is the first step toward AI proficiency. After the training , you training data-driven decisions with confidence—and you’ll be ready to integrate AI-powered tools into your daily work.

Contents

Strategy & basics

  • Discover what you can do with data in your workspace.
  • Learn about the building blocks of data processing: the foundation of every AI application.
  • Develop a structured approach for data-based decisions.

The structured data process

  • Introduction to the CRISP-DM Model—a proven step-by-step method for data projects and AI initiatives.

Collect data: Source, structure & quality

  • Identify relevant data sources and evaluate their quality.
  • Identify biases early on.
  • Exercise: Analyze the sample data for bias.

Types of data analysis

  • The Four Stages of Analysis—From Description to Prediction.
  • Interpreting Numbers Correctly: Be Careful with "Averages"!
  • Choose the chart that best fits your question.
  • Exercise: Create meaningful visualizations and work with a dashboard.

Communication: Visualization & storytelling

  • Avoid misleading representations through clear visualizations.
  • Tell compelling stories with your data results.

Ethical handling of data

  • Fairness, Bias, and Data Protection: The GDPR and the EU AI Act Explained in Simple Terms.
  • Why Ethical Data Literacy Is Essential for the Responsible Use of AI.

Summary & action plan

  • Develop concrete steps to integrate data literacy and AI tools into your daily work.

Learning environment

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

Here's what you'll learn

  • Plan and implement the first steps of the CRISP-DM process independently.
  • Evaluating Data Sources—and Understanding Why This Is Crucial for AI Applications.
  • Identifying and Avoiding Bias—in Data and in AI Results.
  • Create meaningful diagrams and perform visual analyses.
  • Communicate clearly with “data storytelling”—whether within a team or in front of stakeholders.
  • Identify the fundamental principles of data protection, bias, and the EU AI Act, as well as typical risks.

Methods

Presentations are interspersed with group work, interactive exercises, and workshop sessions. Theory, discussion, and hands-on application ensure that you gain knowledge you can put to use right away.

Who is this training for?

  • Employees without prior technical knowledge who want to make their work more data-driven and AI-ready.
  • Professionals in marketing, controlling, or HR who regularly work with reports and data.
  • Executives and project managers who want to better understand and manage data-driven and AI-powered decisions.

 

No prior technical knowledge required! The focus is on easy-to-understand concepts and hands-on application—as the first step on your journey toward AI proficiency. The course teaches data literacy—no prompting, no coding.

Open Badges - Show what you can do digitally too.

Open Badges are recognized, digital certificates of participation. These verifiable credentials are the current standard for integration in career networks such as LinkedIn.

With them, you digitally demonstrate the competences you possess. After successful completion, you will receive an Open Badge from us.

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On-site training together
Booking number
42318
€ 1.240,- plus VAT
1.5 days
in Berlin
on November 2, 2026
German
In-person trainings
Joint online training
Booking number
42319
€ 1.240,- plus VAT
1.5 days
Online
2 Events
German
Live online events
Train several employees
Price upon request
1.5 days
In-person or Online
Appointment scheduled on an individual basis
  • Customized training courses
  • Direct application in practice
  • Efficient use of time and resources
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Start dates and details

  Select time period
0 events
28.07.2026
Live-Online
Booking number: 42319
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
Technical notes
We use various software to conduct our online events.
Days & Times
1.5 days
max. 12 attendees

Tuesday, 28.07.2026

09:00 am - 5:00 pm

Wednesday, 29.07.2026

08:30 am - 12:30 pm

02.11.2026
Berlin
Booking number: 42318
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Venue
Arrival via Deutsche Bahn
Travel at reduced rates by booking via the learning environment.
Days & Times
1.5 days
max. 12 attendees

Monday, 02.11.2026

09:00 am - 5:00 pm

Tuesday, 03.11.2026

08:30 am - 12:30 pm

Fee includes
The participation fee includes
  • one joint lunch per full seminar day,
  • Catering during breaks and
  • extensive working documents.
Participants will be charged directly by the hotel for their hotel accommodation. You will find a reservation form for hotel bookings in your learning environment.
04.02.2027
Live-Online
Booking number: 42319
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
Technical notes
We use various software to conduct our online events.
Days & Times
1.5 days
max. 12 attendees

Thursday, 04.02.2027

09:00 am - 5:00 pm

Friday, 05.02.2027

08:30 am - 12:30 pm

Sufficient places are still free.
Don't wait too long to book.
Fully booked.
The next booking ensures this course will take place
Booking number: 42318
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Plan course
1.5 days
max. 12 attendees
Fee includes
The participation fee includes
  • one joint lunch per full seminar day,
  • Catering during breaks and
  • extensive working documents.
Participants will be charged directly by the hotel for their hotel accommodation. You will find a reservation form for hotel bookings in your learning environment.
Booking number: 42319
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Plan course
1.5 days
max. 12 attendees
Book later
You are welcome to make a non-binding advance reservation.
No suitable date?
You are welcome to be notified by e-mail as soon as new dates are released.
Also bookable as in-house training
in-house training for several employees
optimally customized to your own needs
directly on site or online - save time and travel costs

Frequently Asked Questions (FAQ)

The training practical exercises for analyzing, visualizing, and communicating data. You will practice with sample data, create charts, and learn how to present results in a clear and understandable way. This will enable you to apply what you learn directly in your everyday work.

You don't need any prior technical knowledge. The training structured in such a way that the basics of data work are taught in an understandable way, so that even beginners can develop a solid understanding of data processes and tools.

After the training , you training independently plan the first steps of a structured data process, identify suitable data sources, and evaluate data quality. These skills will help you approach data-based projects methodically and implement them more successfully.

You will not only gain theoretical knowledge, but also practical exercises and an action plan that you can apply directly in your everyday work. This will enable you to continuously improve your data skills and successfully master data-based challenges in your profession.

Data literacy is important for many professional roles today, especially if you regularly deal with numbers, reports, or decisions. This includes employees without prior technical knowledge, specialists in areas such as marketing, controlling, or HR, and managers or project leaders who need to understand or steer data-based discussions. The training you training practical knowledge so that you can confidently tackle data-based issues and communicate better within your team.

Please note: We use third-party tools for selected events. Personal data of the participant will be passed on to them for the implementation of the training offer. You can find more information in our privacy policy.

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