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Foundations in Forecasting with Data:
From Data to Better Predictions

Degree:

Certificate

Study type:

Part-time

Start:

October 18, 2027

ECTS:

3 points

Language:

German

Costs:

€2,499 per person

Why this certificate?

In this certificate program, you’ll learn how to use data strategically to make better business decisions. You’ll develop an understanding of how reliable forecasts are created, which data and methods are relevant for this purpose, and how to interpret forecasts correctly. In the process, you’ll work directly on a real-world use case from your company and use it to develop a concrete forecasting approach with practical business impact.

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  • You’ll bring a specific forecasting problem from your company and develop it step by step, from the initial problem definition to the final forecast.
  • You’ll learn to identify relevant data sources, assess data quality, and select appropriate forecasting methods for your specific problem.
  • You’ll gain practical insight into traditional forecasting methods as well as predictive analytics and AI-driven approaches—without having to become a data scientist yourself.
  • You’ll receive feedback from other participants and will be provided with individual guidance as you develop your own forecasting project.
  • How to identify relevant data sources, assess their quality, and use them to develop reliable forecasts.
  • How to analyze historical data and apply appropriate forecasting methods—such as time-series analysis, trend models, or ARIMA—based on the specific situation.
  • How to evaluate forecast quality, assess uncertainties, and systematically improve forecasting models.
  • How to critically evaluate predictive analytics and AI-powered forecasts and adapt them to your own use case.
  • How to translate forecasting results into concrete recommendations for action, a business case, and an actionable roadmap.
  • Specialists and managers who want to make more informed, data-driven decisions in their areas of responsibility.
  • Managers and decision-makers who want to better understand forecasting and use it for their corporate planning
  • Specialists in business, controlling, sales, operations, or other areas who want to derive better forecasts and recommendations for action from existing data.
  • Leaders of analytics and digital transformation projects who want to contextualize forecasting and AI approaches within the corporate environment and apply them effectively.
  • Anyone who wants to not only analyze data but also use it to make concrete decisions for the future.
  • Forecasting with a Direct Business Focus: You won’t be learning statistics for its own sake, but rather the specific methods you need to understand, evaluate, and effectively apply forecasts in a business context.
  • Learning Through Your Own Use Case: Your real-world business problem serves as the central theme of the entire certificate program. All methods, exercises, and application tasks are directly applied to it.
  • Data literacy without the detour through data science: You’ll understand what forecasting models can achieve, where their limitations lie, and how to use their results to make informed decisions.
  • From Forecast to Implementation: You don’t just develop a forecast; you translate the results into a business case and a concrete roadmap for the next steps.
  • Data-Driven Decision-Making: You can use data strategically to assess trends and support decisions with reliable forecasts.
  • Forecasting expertise: You understand key forecasting methods and can assess which method is best suited to a given problem and business context.
  • Evaluation of Forecasts: You can assess the quality of forecasts, identify uncertainties, and critically interpret results.
  • AI & Predictive Analytics: You can contextualize modern AI and predictive analytics approaches, evaluate their potential applications, and apply them to specific business questions.
  • Business Impact: You can translate forecasting results into concrete recommendations for action, quantify the economic benefits, and derive next steps for implementation.

Sample Course Schedule

TimeLocationContent
Monday
09:00 - 15:00
On siteKick-Off

Welcome round,
Introduction to our learning world,
workshop,
First competence analysis
Tuesday
09:00 - 15:00
On siteImpulse lecture,
Workshop
Wednesday
flexible timing
OnlineIndependent work with the help of
video elements
Thursday
flexible timing
OnlineIndependent work with the help of
video elements
Friday
flexible timing
OnlineJournaling & reflection
TimeLocationContent
Monday
17:00 - 19:00
OnlineKeynote speech,
Journaling: Personal
goal setting & planning
Tuesday
flexible timing
OnlineIndependent work with the help of
video elements
Wednesday
flexible timing
OnlineIndependent work with the help of
video elements
Thursday
17:00 - 19:00
Onlineonline-session,
Independent work with the help of
literature and video elements
Friday
flexible timing
OnlinePossibility of exchanging ideas
with a teaching assistant,
Journaling & Reflection
TimeLocationContent
Monday
17:00 - 19:00
OnlineKeynote speech,
Journaling: Personal
goal setting & planning
Tuesday
flexible timing
OnlineIndependent work with the help of
video elements
Wednesday
flexible timing
OnlineIndependent work with the help of
video elements
Thursday
17:00 - 19:00
Onlineonline-session,
Independent work with the help of
literature and video elements
Friday
flexible timing
OnlinePossibility of exchange
with a teaching assistant,
Journaling & Reflection
TimeLocationContent
Monday
17:00 - 19:00
OnlineKeynote speech,
Journaling: Personal
goal setting & planning
Tuesday
flexible timing
OnlineIndependent work with the help of
video elements
Wednesday
flexible timing
OnlinePossibility of exchange
with a teaching assistant,
Journaling & Reflection
Thursday
flexible timing
OnlineIndependent work with the help of
literature and video elements
Friday
09:00 - 15:00
On siteClosing 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.

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