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Why this certificate?
In this certificate, you will learn the fundamentals on how to collect, process and analyze the right data and turn it into valuable insights that lead directly to business decisions. You will acquire the ability to visualize data with modern tools and interpret it in such a way that you can make well-founded, strategic decisions. You will also understand how to prepare data for machine learning so that you can extract the full value from your information. By the end, your newly acquired skills enable you to ensure that your data is reliable and usable as a strategic asset and a trustworthy basis for your company’s decision making.
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- Blended Learning: A structured combination of flexible online modules and guided sessions—virtual or in-person—supplemented by hands-on exercises.
- Project-Based Learning with Real Data: You’ll work on real-world tasks, ideally using your own datasets, to enable direct application to your daily work.
- Interactive learning elements: Digital exercises and live workshops help you immediately apply what you’ve learned and reinforce it long-term.
- Hands-on introduction to data structuring and management tools: You’ll learn to identify and resolve data quality issues and prepare data optimally for business use—including as part of our “Bring Your Own Data” approach.
- How to collect and process data in a way that allows you to make informed, strategic decisions.
- How to evaluate the quality and reliability of your data so you can analyze it on a solid foundation.
- The entire data lifecycle—from collection through preparation and analysis to application within the company.
- Young professionals who want to develop their skills in data-driven roles.
- Mid-level managers who want to make data-driven strategic decisions and feel more confident in doing so.
- Executives who have recognized the potential of data and want to leverage it strategically for their company’s digital transformation.
- Strong practical focus: You’ll work with your own company’s data and apply what you’ve learned right away.
- Interdisciplinary perspective: You’ll gain in-depth insight into data management, data quality, and data structure—in a practical and scientifically grounded way.
- Comprehensive understanding: You’ll master the entire data process—from collection and quality assurance to the preparation of reliable and strategically usable datasets.
You will be able to
- explain the importance of data management as well as key concepts such as quality, integration, and consistency,
- design and query simple databases tailored to organizational requirements,
- develop basic data models and storage strategies,
- identify appropriate tools and platforms for data management—including cloud and big data technologies,
- and reflect on ethical issues related to the handling of data.
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
Sample Course Schedule
| Time | Location | Content |
|---|---|---|
| Monday 09:00 - 15:00 | On site | Kick-Off Welcome round, Introduction to our learning world, workshop, First competence analysis |
| Tuesday 09:00 - 15:00 | On site | Impulse lecture, Workshop |
| Wednesday flexible timing | Online | Independent work with the help of video elements |
| Thursday flexible timing | Online | Independent work with the help of video elements |
| Friday flexible timing | Online | Journaling & reflection |
| Time | Location | Content |
|---|---|---|
| Monday 17:00 - 19:00 | Online | Keynote speech, Journaling: Personal goal setting & planning |
| Tuesday flexible timing | Online | Independent work with the help of video elements |
| Wednesday flexible timing | Online | Independent work with the help of video elements |
| Thursday 17:00 - 19:00 | Online | online-session, Independent work with the help of literature and video elements |
| Friday flexible timing | Online | Possibility of exchanging ideas with a teaching assistant, Journaling & Reflection |
| Time | Location | Content |
|---|---|---|
| Monday 17:00 - 19:00 | Online | Keynote speech, Journaling: Personal goal setting & planning |
| Tuesday flexible timing | Online | Independent work with the help of video elements |
| Wednesday flexible timing | Online | Independent work with the help of video elements |
| Thursday 17:00 - 19:00 | Online | online-session, Independent work with the help of literature and video elements |
| Friday flexible timing | Online | Possibility of exchange with a teaching assistant, Journaling & Reflection |
| Time | Location | Content |
|---|---|---|
| Monday 17:00 - 19:00 | Online | Keynote speech, Journaling: Personal goal setting & planning |
| Tuesday flexible timing | Online | Independent work with the help of video elements |
| Wednesday flexible timing | Online | Possibility of exchange with a teaching assistant, Journaling & Reflection |
| Thursday flexible timing | Online | Independent work with the help of literature and video elements |
| Friday 09:00 - 15:00 | On site | Closing Session Review, workshop, Presentations & feedback to the boards of our industry partners, Journaling & reflection |
Notice: Due to public holidays, there might be deviations from the sample schedule.
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Good to know: You can apply for educational leave for your participation in a certificate course at the Scheer School.
Up to 3 days for a 4-week certificate and up to 5 days for an 8-week certificate. You can find out more here.
Find out which program suits you best – in a personal, non-binding information session with the Scheer School. Flexible, practical, future-oriented.