AI+ Data™

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Duration
5 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
WalkIn®

Data is rapidly becoming one of the strongest drivers of innovation. This training course provides a contemporary approach to AI-supported analysis, demonstrates new possibilities for dealing with complex information structures, and strengthens understanding of data-based decisions.

Key topics

  • AI-based data analysis and smart pattern recognition.
  • Modern data workflows with automated processes.
  • Use of generative models for evaluation and structuring.
  • Trend technologies related to analytics, machine learning, and automation.
  • Data ethics, quality, security, and responsible use.

Prerequisite
Basic knowledge of digital tools and an interest in AI-supported data work.

Target group
Professionals from business, technology, and analysis fields, as well as anyone who wants to strengthen data-driven decisions.

The result is a future-proof approach to AI-oriented data literacy that supports modern working methods and paves the way for smart, scalable solutions.
 

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course content
  • Introduction to Data Science
  • Life cycle of data science
  • Applications of Data Science
  • Basic concepts of statistics
  • Probability theory
  • Statistical inference
  • Types of data
  • Data sources
  • Data storage technologies
  • Introduction to Python for Data Science
  • Introduction to R for Data Science
  • Techniques for data imputation
  • Dealing with outliers and data transformation
  • Introduction to EDA
  • Data visualization
  • Introduction to generative AI tools
  • Applications of generative AI
  • Introduction to supervised learning algorithms
  • Introduction to unsupervised learning
  • Various algorithms for clustering
  • Association rule learning with implementation
  • Ensemble learning techniques
  • Dimensionality reduction
  • Advanced optimization techniques
  • Introduction to data-driven decision making
  • Open-source tools for data-driven decision making
  • Deriving data-driven insights from the sales data set
  • Understanding the power of data storytelling
  • Identify use cases and business relevance
  • Develop compelling narratives
  • Visualize data to make an impact
  • Project presentation and problem definition
  • Data collection and preparation
  • Data analysis and modeling
  • Data presentation and visualization
  • Understanding AI agents
  • Case studies
  • Practical exercises with AI agents

Frequently asked questions

  • Without sound data knowledge, AI models remain imprecise. Those who understand data make better decisions, train AI in a more targeted manner, and use automated systems more efficiently.
  • The focus is on practical data processing, intelligent analysis, modern tools, and AI-related applications—explained in an understandable way, even without prior knowledge.
  • The course utilizes practical data and AI methods with tools such as Python, Google Colab, MLflow, Alteryx, and KNIME for data preparation, analysis, machine learning models, and data-driven decisions.
  • The focus here is on the combination of data and artificial intelligence. Instead of dry theory, the emphasis is on direct applications, understandable models, and concrete use cases.
  • The goal is to confidently understand, help shape, or implement data-driven AI projects—regardless of your field of study or industry.
  • The content is focused, modern, and application-oriented—with direct relevance to data science, AI, automation, and real-world challenges in everyday professional life.
  • All topics are based on the latest standards, current technologies, and best practices from industry, tech, and research—regularly updated and AI-oriented.
  • Whether in business, tech, or administration, data and AI expertise speeds up analysis, improves processes, and creates a clear career advantage in the digital transformation.

Do you have any further questions? Please contact us.