Course
1

Booking no:

42570

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.

20 hours over 4 weeks
approx. 20 hours
Online
German
Junior, Professional and Master Class

Date preview

Start date
Last module
Availability
Location
7.10.2026
28.10.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
13.1.2027
27.1.2027
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
7.4.2027
28.4.2027
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
4.8.2027
25.8.2027
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online

Module overview

The following module overview shows dates for the course start on
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Module
1

Data as a driver of value creation

  • Train your own AI model
  • Useful tools in the field of data and AI
Webinar
2 h

Wednesday, October 7, 2026
, 11:00 a.m. – 1:00 p.m.

61460203
Module
1

Data as a driver of value creation

  • Train your own AI model
  • Useful tools in the field of data and AI
Webinar
2 h

Wednesday, January 13, 2027
, 11:00 a.m. - 1:00 p.m.

61460114
Module
1

Data as a driver of value creation

  • Train your own AI model
  • Useful tools in the field of data and AI
Webinar
2 h

Wednesday, April 7, 2027
9:00 a.m. – 11:00 a.m.

61480563
Module
1

Data as a driver of value creation

  • Train your own AI model
  • Useful tools in the field of data and AI
Webinar
2 h

Wednesday, August 4, 2027
9:00 a.m. – 11:00 a.m.

61480567
Module
2

Self-study phase 1

The foundation of data & artificial intelligence

  • From data to insights
  • The AI universe

Relevance and requirements of a data project

  • Digital transformation as a data driver
  • Data mindset: Think data, do data
  • Change management as a success factor
Self-study phase
5 h
61460203
Module
2

Self-study phase 1

The foundation of data & artificial intelligence

  • From data to insights
  • The AI universe

Relevance and requirements of a data project

  • Digital transformation as a data driver
  • Data mindset: Think data, do data
  • Change management as a success factor
Self-study phase
5 h
61460114
Module
2

Self-study phase 1

The foundation of data & artificial intelligence

  • From data to insights
  • The AI universe

Relevance and requirements of a data project

  • Digital transformation as a data driver
  • Data mindset: Think data, do data
  • Change management as a success factor
Self-study phase
5 h
61480563
Module
2

Self-study phase 1

The foundation of data & artificial intelligence

  • From data to insights
  • The AI universe

Relevance and requirements of a data project

  • Digital transformation as a data driver
  • Data mindset: Think data, do data
  • Change management as a success factor
Self-study phase
5 h
61480567
Module
3

Understanding, linking, and utilizing data

  • Reflection Self-study phase 1
  • AI Radar
Webinar
4 h

Wednesday, October 21, 2026
9:00 a.m. - 1:00 p.m.

61460203
Module
3

Understanding, linking, and utilizing data

  • Reflection Self-study phase 1
  • AI Radar
Webinar
4 h

Wednesday, January 20, 2027
9:00 a.m. - 1:00 p.m.

61460114
Module
3

Understanding, linking, and utilizing data

  • Reflection Self-study phase 1
  • AI Radar
Webinar
4 h

Wednesday, April 14, 2027
9:00 a.m. – 1:00 p.m.

61480563
Module
3

Understanding, linking, and utilizing data

  • Reflection Self-study phase 1
  • AI Radar
Webinar
4 h

Wednesday, August 11, 2027
9:00 a.m. – 1:00 p.m.

61480567
Module
4

Self-study phase 2

Data and AI projects: From idea to implementation 

  • CRISP-DM as a handbook for data and AI projects
  • the relevance of the data expert

Business Understanding 

  • the framework for a data and AI strategy
  • The structured introduction to data and AI projects
Self-study phase
5 h
61460203
Module
4

Self-study phase 2

Data and AI projects: From idea to implementation 

  • CRISP-DM as a handbook for data and AI projects
  • the relevance of the data expert

Business Understanding 

  • the framework for a data and AI strategy
  • The structured introduction to data and AI projects
Self-study phase
5 h
61460114
Module
4

Self-study phase 2

Data and AI projects: From idea to implementation 

  • CRISP-DM as a handbook for data and AI projects
  • the relevance of the data expert

Business Understanding 

  • the framework for a data and AI strategy
  • The structured introduction to data and AI projects
Self-study phase
5 h
61480563
Module
4

Self-study phase 2

Data and AI projects: From idea to implementation 

  • CRISP-DM as a handbook for data and AI projects
  • the relevance of the data expert

Business Understanding 

  • the framework for a data and AI strategy
  • The structured introduction to data and AI projects
Self-study phase
5 h
61480567
Module
5

Thinking and acting with data

  • Reflection Self-study phase 2
  • Introduction to Data Understanding
Webinar
4 h

Wednesday, October 28, 2026
, 9:00 a.m. – 1:00 p.m.

61460203
Module
5

Thinking and acting with data

  • Reflection Self-study phase 2
  • Introduction to Data Understanding
Webinar
4 h

Wednesday, January 27, 2027
9:00 a.m. - 1:00 p.m.

61460114
Module
5

Thinking and acting with data

  • Reflection Self-study phase 2
  • Introduction to Data Understanding
Webinar
4 h

Wednesday, April 28, 2027
9:00 AM – 1:00 PM

61480563
Module
5

Thinking and acting with data

  • Reflection Self-study phase 2
  • Introduction to Data Understanding
Webinar
4 h

Wednesday, August 25, 2027
9:00 a.m. – 1:00 p.m.

61480567

Course overview

Contents and course schedule

  1. Data as a driver of value creation
    • Lego and data
    • First touch point with artificial intelligence
  2. Foundation of data & AI
    • From data to decisions
    • the AI universe
  3. Relevance and requirements of a data project
    • Digital transformation as a data driver
    • Data mindset: Think data, do data
    • Change management
  4. Data: Understand. Connect. Utilize.
    • Foundation of data & AI 
    • Relevance and requirements of a data project
  5. Data projects: From idea to implementation
    • Steps toward data-driven decision-making
    • Tasks & Roles
    • CRISP-DM as a manual
  6. Business Understanding 1 in Data Projects
    • Strategic use of data and AI
    • Value Proposition
  7. Think and act with data
    • From idea to implementation
    • Business Understanding 2
    • Data understanding from a business perspective

This is how you learn in this course

This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:

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 will be available to you throughout the course. trainers with other participants and the trainers , and ask any questions you may have.

Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).