Data Analytics Foundation

Price
Net
VAT

Price
Price on Request

Duration
2 days

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

Location

Course Language
German

Training Solutions
Connected Classroom

A concise introduction demonstrates how data-driven decisions lead to greater clarity, efficiency, and speed in modern organizations. The focus is on practical principles that make the entire analysis process understandable and incorporate current developments in the field of AI-supported evaluations.

Key content

  • Roles, methods, and workflows in the world of data analytics.
  • Data types, quality, preparation, and exploration strategies.
  • Basic statistical concepts and interpretable visualizations.
  • AI- and AI-supported analysis methods.
  • Use of modern tools for structured evaluations.

Prerequisite
Basic understanding of digital work environments.

Target group
Professionals who want to support data-based decision-making processes.

A brief, clear conclusion completes the transfer: data becomes usable insights that enable future orientation and sustainable impact.
 

Print as PDF
course content
  • Terms and Process
  • Business analytics (BI)
  • Data collection
  • Data storage
  • Variables
  • Data scrubbing
  • Statistics
  • Data mining (data analysis)
  • Machine learning
  • Algorithms
  • Explanatory and exploratory
  • Diagrams and plots (printouts)
  • Design and tools

Frequently asked questions

  • Basic knowledge of IT or statistics is helpful, but not essential. The content is structured in such a way that even beginners can easily follow along.
  • It focuses on practical fundamentals rather than pure theory. The combination of technology, analysis, and ethics is compact, up-to-date, and applicable across all industries.
  • Provides knowledge about data sources, data processing, statistical analysis, visualization, and data-based decision-making.
  • Yes—the certificate helps you to better understand, question, and use data in many professional fields. It also offers advantages in marketing, HR, and controlling.
  • Strengthens analytical thinking, imparts methodological skills, and promotes the use of tools and data. A good basis for digital transformation and data-driven processes.
  • Data analytics focuses on understanding, interpreting, and utilizing existing data. Data science goes deeper—with programming and complex modeling.
  • The Data Analytics Foundation certificate remains valid indefinitely. Recertification is not required.

Do you have any further questions? Please contact us.