Analytics for Decision Makers


How long?

  • 12 days
  • online



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Full disclaimer.

Who should attend

Senior managers and executives who aim to implement data-driven decision processes in their teams, and who wish to understand the principles of analytics or to acquire the knowledge and communication skills needed to steer their analysts. The course is also tailored for managers confronted with a specific analytics challenge who are expected to come up with concrete proposals on how to distill and extract value from data.

The program does not require any prior knowledge of coding or quantitative methods, although basic experience with Microsoft Excel would be helpful.

About the course

Have you sometimes looked at your data and wondered how you can use it to add value to your business? Have you perhaps read over a report from your data science team and wished for the confidence to turn its insights into optimal decisions? Do you want to leverage data analytics to optimize processes for your department and to spearhead evidence-based decision making in your company?

If so, this program is for you. In the age of digitalization and with progressively larger amounts of available data, managerial decision making is increasingly data-driven. The aim of this program is to help you leverage analytics for optimal decisions. While this is not a technical quantitative course, its focus is on building the thinking skills necessary for an informed and empowered user of analytics, so that you can convert data insights into business value.

The program is delivered online and consists of up to 4 modules à 6-8 hours, with one introductory module and three further in-depth modules. Each module can be booked individually – you can fully customize your learning journey according to your interests, requirements, and prior knowledge of the topic. Modules start in intervals of two weeks, but you can of course complete the course at your own pace. Each of the modules has a synchronous online kick-off event and is further complemented by optional and individual synchronous online meetings with the lecturers. In these coaching sessions you are invited to present your own dataset or business challenge, and get expert advice from our lecturers. You will also be able to attend synchronous online keynotes with startup entrepreneurs or practitioners from large corporations, which explore best practices in the implementation of analytics tools in specific corporate contexts.

Key benefits

  • Cherry-pick the tools and techniques that are most relevant for your daily business practice thanks to the multi-modular structure of the program
  • Get acquainted with standard software packages that allow you to prepare and manage data inputs, generate and interpret results, and draw the right conclusions
  • Obtain a better understanding of how your analytics challenges can be operationalized and resolved.


Each of the four modules consists of e-learning sessions, including individual exercises, case studies, video tutorials, moderated discussions in peer groups, synchronous webinars, and individual coaching sessions with our data experts.

Key topics

Module 1: Analytics Fundamentals

  • Risk, uncertainty, and errors
  • Data as a guide to the unknown
  • Descriptive analytics: Key indicators
  • Predictive analytics: Model building

Module 2: Advanced Analytics

  • Knowing your customers: segmentation models
  • Keeping your customers (happy): churn models
  • From predictive to prescriptive analytics

Module 3: Decision Trees and Risk Analysis

  • Decision trees and decision-making under uncertainty
  • Sensitivity analysis and risk profile
  • Basics of Monte Carlo simulation
  • Entropy and information gains

Module 4: Machine Learning & Artificial Intelligence

  • Fundamentals of machine learning
  • Random forests and neural networks
  • Preparing high-quality data and optimizing models


  • 1 module: 780 €
  • 2 modules: 1,560 €
  • 3 modules: 2,340 €
  • Combined package of all 4 modules: 2,730 €


Christoph Burger

Christoph Burger is senior lecturer and senior associate dean executive education at the European School of Management and Technology. Before joining ESMT, he worked five years in industry at Otto Versand and as vice president at the Bertelsmann Buch AG, five years at consulting practice Arthur D...

Catalina Stefanescu Cuntze

Catalina is the dean of faculty, professor of management science, and the first holder of the Deutsche Post DHL Chair. She joined ESMT European School of Management and Technology in November 2009 as an associate professor and served as the director of research between September 2010 and October ...

Jan Sebastian Nimczik

Jan Nimczik joined ESMT Berlin in 2019 as an assistant professor of economics. Previously he worked as a PostDoc at the Humboldt University, Berlin. Jan obtained his PhD in Economics at the University of Mannheim. During his studies, he visited the University of California, Berkeley and the Unive...

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Analytics for Decision Makers at ESMT

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Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

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