Efficient data analysis with artificial intelligence
Optimization of data work with generative AI
Contents
Introduction to GenAI for data analysis
- What is Generative AI?
- Differences to traditional AI approaches.
- Examples of GenAI in data analysis (e.g. data predictions, visualizations).
- Limitations of typical data analytics and business intelligence tools.
Basics of data analysis with AI
- Overview: Use of GenAI in data visualization, processing, cleansing and predictive analytics.
- GenAI as a catalyst for more efficient work in Microsoft Excel (e.g. table linking, macro creation).
- GenAI in the field of data science: AI-supported forecasting, classification and cluster analyses.
- Analysis and interpretation of a data set with the support of GenAI.
Tools and technologies
- Overview of relevant tools.
- Outlook for integrating GenAI into existing workflows using AI agents with Microsoft Copilot Studio.
- Discussion on data privacy and ethical aspects.
Advanced applications
- Forecasting models and scenario planning.
- Generation of data-based forecasts with GenAI.
- Visualization of complex relationships with the help of AI.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
- Understanding the basics and potential of GenAI in data analysis.
- Practical experience with AI tools for the analysis, cleansing and visualization of data.
- Ability to integrate GenAI into your own work processes.
Methods
- Each theoretical block is supplemented by a practical exercise.
- Participants can bring their own data sets to analyze during the training .
- Group work and discussions promote the exchange of ideas.
Tool
Recommended for
Data analysts, data scientists, project managers and anyone who wants to make data-based decisions and use AI-supported analyses.
Further recommendations for "Efficient data analysis with artificial intelligence"
Start dates and details
Thursday, 29.01.2026
09:00 am - 3:00 pm
Monday, 23.03.2026
09:00 am - 3:00 pm
Friday, 12.06.2026
09:00 am - 3:00 pm
Thursday, 17.09.2026
09:00 am - 3:00 pm
Frequently Asked Questions (FAQ)
You will understand how AI methods support data preparation, cleaning, and analysis, enabling you to obtain meaningful results more quickly and accurately. At the same time, you will learn to better identify typical challenges in your own data sets and address them in a targeted manner.
You will learn how generative methods can be used to recognize data patterns, create visualizations, and generate predictions, enabling you to interpret complex data more quickly and present it in an understandable way.
You will learn how AI-supported approaches are used to analyze even unstructured data sources and extract usable information from them, which will significantly expand your analytical skills.
You will learn techniques for using historical data to make predictions about future developments, which will help you make informed strategic decisions and plan scenarios more effectively.
You will learn how to process sensitive data responsibly and what aspects need to be considered with regard to data protection and the ethical use of AI methods, so that your analysis practices remain legally compliant.
With your newly acquired knowledge, you can better structure data-driven projects, evaluate AI methods in a targeted manner, and explain to other team members how AI-supported analysis can aid in decision-making.