Training
This training is held in German.
More and more data is being generated in the digital world. And innovative AI solutions are using this data, offering companies a variety of new business opportunities and changing the reality of work in a wide range of industries.
Companies are therefore trying to gain a competitive edge by using generative AI and by collecting, analyzing and evaluating the data available to them. The prerequisites for this are good data management, meaningful data projects and employees with the necessary data & AI skills.
But what is the ideal data project process? Where do you start, how do you proceed, where are the pitfalls and how can they be cleverly avoided? In this compact seminar on data science and artificial intelligence, you will gain the knowledge and techniques to recognize and exploit the potential of your company data. You will not only learn all the steps for the successful implementation of analytical or classic data & AI projects - from asking the right business-relevant questions to evaluating the results. You will also be shown how to use important key concepts of machine learning and how to make business decisions with the help of artificial intelligence. This training will position you as a competent shaper in the current data & AI transformation.
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Did you know?
This course is part of the certified Master Class "Data Analyst". If you book the entire Master Class, you save 25 percent compared to booking the individual modules.
Contents
Further training in accordance with AI Regulation Art. 4 for the obligation to provide evidence of AI competence
1. introduction to data science and machine learning
- Basic terms and concepts of data science and classic AI methods
- Data-driven mindset as a success factor in the company
- Requirements for data-driven companies
- Supervised and unsupervised machine learning
- Methods in supervised and unsupervised learning
- Important roles in data science projects
- What infrastructure is needed for data science projects?
2. the CRISP-DM cycle as a standard in data analysis
- Business Understanding: Goals, requirements, questions
- Data Understanding: Data structure and data quality
- Data preparation: cleaning, filtering and formatting data
- Modeling: Developing and validating data models
- Evaluation: Reviewing models and aligning them with business objectives
- Deployment: Putting models for data analysis into operation
- New: along the phases of data understanding, preparation, modeling and evaluation, current use cases of language models (e.g. ChatGPT) are shown, which can provide targeted support for typical tasks in a data science project
3. all phases of the data project explained in detail
- Exploratory data analysis and its forms of presentation
- Position parameters and scattering parameters
- Recognize linear and non-linear relationships
- Assessing the relevance of data
- Clean up and prepare data
- Modeling: Classification, regression and clustering with classic machine learning tools (KNIME, Azure Machine Learning or RStudio) and in conjunction with language models (e.g. ChatGPT)
- Evaluate the model and put it into production
Learning environment
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 attendance and Open Badge: As a graduate of the course, you will receive a certificate of attendance and an Open Badge, which you can easily share in professional networks (e.g. LinkedIn).
Your benefit
Are you a decision maker and want to gain more than just an overview of simple data analyses? Are you a subject matter expert and want to make better use of the data you encounter every day? You will take away the following from this 2-day classroom seminar on data science & AI:
- You can assess how you are positioned in the area of data science and what potential lies in your company data.
- You will gain comprehensive and application-oriented insights that can be used as the basis for data-driven decision-making processes.
- You will develop the necessary business understanding for data analysis across various industries and learn how to define goals for data projects based on specific scenarios.
- Thanks to the AI knowledge you have acquired, you will have a deeper understanding of the techniques, potentials and limitations involved in dealing with language models and the possibilities of generative AI.
- You will learn all the steps of a data science project along the cross-industry framework CRISP DM.
- You will carry out your first data analyses in exercises and practice with real data sets.
Methods
Interactive lecture, discussion, individual and group work.
Recommended for
This training is aimed at specialists and managers from all industries who want to deepen their knowledge of data or who want to carry out data analyses themselves or introduce them in their company. It is an in-depth introduction to the topic of data & AI and is also suitable as a starting point if you would like to begin training as a data analyst or data scientist.
Further recommendations for "Smart Data Science: your entry into professional data analysis"
Attendees comments
"Great training! I particularly liked the lively, practical discussions with the group and the trainer."
Michael Arnolds
Leverkusen
"The training provides a great introduction to the topic of data science. The CRISP cycle, the explanation of the various methods and the overview of the tools (software) were very helpful."
Dr.-Ing. Andreas Lenniger
Infineon Technologies AG, Munich
"The training has a complete red thread that inspires. The trainer, the structure, the methodology and the practical relevance - I can recommend the training with a clear conscience!"
Claas Blume
Heise Medien GmbH & Co. KG
"The trainer conveyed the content very, very well and illustrated it with practical examples. You never stop learning - the new approaches and different opinions helped me to develop further."
Frank Schmidt
Karl Eugen Fischer GmbH
"I particularly liked the content and the atmosphere."
Neele Ferley
Dataport
Seminar evaluation for "Smart Data Science: your entry into professional data analysis"
4.7 from 5
with 66 reviews
training content:
4.6
Content comprehensibility:
4.7
Practical relevance:
4.3
Trainer expertise:
5
Participant orientation:
4.8
Method variety:
4.6
On-site training together
Booking number
30298
30298
€ 1.490,-
plus VAT
2 days
in 6 locations
with certificate
6 Events
German
We also offer this training event online.
Train several employees internally
Pricing upon request
- Customized training courses according to your needs
- Directly at your premises or online
- Cost advantage from 5 participants
- We contact you within 24 hours (Mon-Fri)
2 days
In-person or Online
with certificate
We also offer this training event online.
Future Jobs Classes
Get ready for your job of the future and become a data analyst.
Start dates and details
28.08.2025
Frankfurt a. M./Oberursel
Booking number:
30298
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Thursday, 28.08.2025
09:00 am - 5:00 pm
Friday, 29.08.2025
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
17.11.2025
Munich
Booking number:
30298
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Monday, 17.11.2025
09:00 am - 5:00 pm
Tuesday, 18.11.2025
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
16.12.2025
Cologne
Booking number:
30298
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Tuesday, 16.12.2025
09:00 am - 5:00 pm
Wednesday, 17.12.2025
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
26.02.2026
Hamburg
Booking number:
30298
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Thursday, 26.02.2026
09:00 am - 5:00 pm
Friday, 27.02.2026
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
07.05.2026
Stuttgart
Booking number:
30298
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Thursday, 07.05.2026
09:00 am - 5:00 pm
Friday, 08.05.2026
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
27.08.2026
Berlin
Booking number:
30298
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Thursday, 27.08.2026
09:00 am - 5:00 pm
Friday, 28.08.2026
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Training is guaranteed to take place
Booking number:
30298
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Details
2 days
Limited number of participants
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Booking number:
30298
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Details
2 days
Limited number of participants
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
No suitable date?
You are welcome to be notified by e-mail as soon as new dates are released.
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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