Foundations in Data:
Turning Insights into Success

• Blended learning, A structured mix of self-paced online modules and instructor-led sessions (virtual or in-person), each reinforced by practical, hands-on activities.
• Project based learning with real work data, which brings opportunities to work on practical assignments, ideally using your own data sets, so you can immediately see how insights integrate into your business processes.
• Interactive learning activities, such as engaging digital exercises and live workshops designed to apply concepts in real time and deepen your understanding.
• A practical introduction to data structuring and management tools, enabling you to identify and resolve quality issues, and prepare data for meaningful use in business contexts. The opportunity to bring your own data and apply concepts directly to your workplace challenges through our “Bring Your Own Data” approach.

• How to collect and process data in such a way that you can use it to make informed and strategic decisions.
• Evaluate data quality and reliability to ensure that your analyses are based on a solid foundation.
• Get to know the end-to-end data lifecycle from collection and processing through interpretation to business applications.

• Young professionals who want to expand their skills in data-driven operational or strategic roles.
• Specialists in middle management have to make strategic decisions based on data and want to work more confidently with.
• Managers who recognize the potential of data in the company and want to actively use it for digital transformation.

• Practical orientation at the highest level: You work directly with your company’s data and apply what you have learned immediately.
• Interdisciplinary expertise: You will gain a comprehensive insight into the world of data management, quality, consistency, and structure – from a practical and scientific perspective.
• Holistic understanding: You master the entire process – from collecting data to identifying quality issues, resolving inconsistencies, and preparing datasets that are trustworthy and fit for purpose.

By the end of this certificate, you will be able to:

• Explain the importance of data management and its key concepts, including quality, integration, and consistency.
• Design and query simple databases aligned with organizational needs.
• Develop basic data models and storage strategies.
• Identify suitable tools and platforms for data management, including cloud and big data technologies.
• Reflect on ethical considerations in data use.

Week 1: Fundamentals of Data Management
Week 2: Structuring and Exploratory Analysis of Data
Week 3: Trust and Data Quality
Week 4: Responsible Impact & Project Pitch