Blended learning
This blended learning 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 training course on data science and artificial intelligence, you will gain the knowledge and techniques you need to recognize and exploit the potential of your company's 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.
Did you know?
This course is part of the certified Master Class "Data Analyst". If you book the entire Master Class, you save 21 percent compared to booking the individual modules.
Module 1: Webinar
30 min.
Kick-off and joint start to training
Kick-off and joint start to training
The first webinar starts with a detailed presentation of the structure, expectations and objectives for the course. Together we take a look at the first learning units.
Module 2: Self-study phase
180 min.
Introduction to data science and machine learning
Introduction to data science and machine learning
In the first self-study unit, you will learn everything you need to know about data science and classic AI. You will get to know and differentiate between the terms, understand what purpose data science can serve and gain valuable insights into how data projects should be approached in the company.
- Basic terms and concepts of data science & AI
- 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?
Module 3: Webinar
90 min.
Interactive exchange on the topics CRISP-DM Cycle and Business Understanding
Interactive exchange on the topics CRISP-DM Cycle and Business Understanding
In the second webinar, you will learn all about the standard for the data project process, the CRISP-DM process. You will then work with your trainers to develop starting points for your own projects and get an impression of the business cases that exist.
Module 4: Self-study phase
540 min.
Data Understanding, Data Preparation and Modeling
Data Understanding, Data Preparation and Modeling
In the second self-study unit, you will dive deep into the central phase of the data analysis process - the preparation of data and the creation of data models that are trained with the data.
- 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
Module 5: Webinar
120 min.
Interactive exchange on the topics of evaluation and deployment
Interactive exchange on the topics of evaluation and deployment
In the third webinar, you will go through the last two phases of the CRISP-DM process together with your trainers . You will learn how to evaluate data models, put them into production and monitor them continuously. In addition, current use cases of language models (e.g. ChatGPT) are shown, which can provide targeted support for typical tasks in a data science project.
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
- Exploratory data analysis and its forms of presentation
- Position parameters and scattering parameters
- Recognize linear and non-linear relationships
- Data preparation: cleaning, filtering and formatting data
- Data modeling: classification, regression and clustering
- Evaluation: Reviewing models and aligning them with business objectives
- Deployment: Putting models for data analysis into operation
This is how you learn in this course
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? Here's what you'll take away from this data science course:
- You can assess how you are positioned in the area of data science and what potential lies in the company's data.
- You will gain comprehensive and application-oriented insights that you can use as a basis for data-driven decision-making processes.
- You will develop a business understanding of data analysis across various industries and learn how to define goals for data projects using concrete 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 the basic 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
Well-founded trainers, presentations, practical exercises, self-reflection, discussions, work aids, group work on participants' real projects and exchange of experience in the learning community.
Recommended for
This online course is aimed at specialists and managers from all industries who want to deepen their knowledge of working with data and carry out data analysis themselves or introduce it into 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 (Online)"
Attendees comments
I found the Smart Data training very good. I particularly liked the videos with the trainer during the self-study phases. This allowed you to rewind from time to time and look at difficult content several times.
Martin Schatz
Metro Properties, METRO AG, Düsseldorf
I really enjoyed the Online Essential. I found the practical examples in particular, which showed how to view data sets and prepare them for analysis, very helpful.
Jens Hempel
Schott AG, Mainz
"The live webinars were a great chance to interact, discuss and ask further questions."
Valerija Gottselig
EEX AG
Seminar evaluation for "Smart Data Science: your introduction to professional data analysis (online)"
4.5 from 5
with 4 ratings
training content:
4.3
Content comprehensibility:
4.7
Practical relevance:
4
Trainer expertise:
4.7
Participant orientation:
4.7
Method variety:
4.3
Joint online training
Future Jobs Classes
Get ready for your job of the future and become a data analyst.
Start dates and details
10.10.2025
Live online
Booking number:
31549
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
Modules
16 hours over 2 weeks
Limited number of participants
Webinar
Kick-off and joint start to training
Date
10.10.2025
Course
zoom
Schedule
Start 12:00 pm, end approx. 12:30 pm
Webinar
Interactive exchange on the topics CRISP-DM Cycle and Business Understanding
Date
17.10.2025
Course
zoom
Schedule
Start 10:00 am, end approx. 12:00 pm
Webinar
Interactive exchange on the topics of evaluation and deployment
Date
24.10.2025
Course
zoom
Schedule
Start 13:00, end approx. 15:00
28.11.2025
Live online
Booking number:
31549
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
Modules
16 hours over 2 weeks
Limited number of participants
Webinar
Kick-off and joint start to training
Date
28.11.2025
Course
zoom
Schedule
Start 14:00, end approx. 14:30
Webinar
Interactive exchange on the topics CRISP-DM Cycle and Business Understanding
Date
05.12.2025
Course
zoom
Schedule
Start 08:45 am, end approx. 10:15 am
Webinar
Interactive exchange on the topics of evaluation and deployment
Date
12.12.2025
Course
zoom
Schedule
Start 10:30 am, end approx. 12:30 pm
06.01.2026
Live online
Booking number:
31549
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
Modules
16 hours over 2 weeks
Limited number of participants
Webinar
Kick-off and joint start to training
Date
16.01.2026
Course
zoom
Schedule
Start 14:00, end approx. 14:30
Webinar
Interactive exchange on the topics CRISP-DM Cycle and Business Understanding
Date
23.01.2026
Course
zoom
Schedule
Start 13:30, end approx. 15:00
Webinar
Interactive exchange on the topics of evaluation and deployment
Date
30.01.2026
Course
zoom
Schedule
Start 13:00, end approx. 15:00
10.04.2026
Live online
Booking number:
31549
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
Modules
16 hours over 2 weeks
Limited number of participants
Webinar
Kick-off and joint start to training
Date
10.04.2026
Course
zoom
Schedule
Start 13:30, end approx. 14:00
Webinar
Interactive exchange on the topics CRISP-DM Cycle and Business Understanding
Date
17.04.2026
Course
zoom
Schedule
Start 13:00, end approx. 14:30
Webinar
Interactive exchange on the topics of evaluation and deployment
Date
24.04.2026
Course
zoom
Schedule
Start 13:00, end approx. 15:00
03.07.2026
Live online
Booking number:
31549
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
Modules
16 hours over 2 weeks
Limited number of participants
Webinar
Kick-off and joint start to training
Date
03.07.2026
Course
zoom
Schedule
Start 13:30, end approx. 14:00
Webinar
Interactive exchange on the topics CRISP-DM Cycle and Business Understanding
Date
10.07.2026
Course
zoom
Schedule
Start 13:00, end approx. 14:30
Webinar
Interactive exchange on the topics of evaluation and deployment
Date
17.07.2026
Course
zoom
Schedule
Start 13:00, end approx. 15:00
Booking number:
31549
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Details
16 hours over 2 weeks
Limited number of participants
Booking number:
31549
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Details
16 hours over 2 weeks
Limited number of participants
No suitable date?
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