Skip to main content

Analytics for Decision Makers

Convert data insights into business value

Analytics for Decision Makers: Analytics Fundamentals (ADM.I-1)

Dates 28. Sep - 9. Oct 2020
Location Online
750 €

Analytics for Decision Makers: Advanced Analytics (ADM.II-1)

Dates 12. - 23. Oct 2020
Location Online
750 €

Analytics for Decision Makers: Decision Trees and Risk Analysis (ADM.III-1)

Dates 26. Oct - 6. Nov 2020
Location Online
750 €

Analytics for Decision Makers: Machine Learning and Artificial Intelligence (ADM.IV-1)

Dates 9. - 20. Nov 2020
Location Online
750 €

Analytics for Decision Makers

Online executive education program in English
icon online learning journey

 

This is a self-paced online program supplemented by live sessions.

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.  

 


Find all the program information at a glance in our PDF download.


 

The program is delivered online and consists of up to 4 modules à 6-8 hours of self-paced learning, 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. 

 

Who should attend the program?

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.

 

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.   

 

Methods

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

 

Prices

1 module: 750 €
2 modules: 1,400 €
3 modules: 2,000 €
Combined package of all 4 modules: 2,400 €

 

Postgraduate Diploma in Management

This program can also be taken as part of the Postgraduate Diploma in Management curriculum. Bring your career to the next level and gain the formal recognition of your professional development with this university-level certificate.

Each module of Analytics for Decision Makers counts towards 1 of the 18 days necessary to receive the diploma.

Meet our teaching staff

The programs have been 
designed – and will be led –
by ESMT faculty members 
and ESMT visiting faculty. 
They will also guide and 
advise you throughout 
your studies.

DOWNLOADS

Program Director

Jens Weinmann

Contact

Verena Ackels
Manager Business Development, ESMT Berlin

Phone: +49 30 21231 8053

Contact

​​​​​​​Beatrix Becker
Manager Business Development, ESMT Berlin

Phone: +49 30 21231 6205

Request

You need some further information?

We will call you back
This could also be of interest
Finance for the Non-finance Executive

Finance for the Non-finance Executive

Gain a better understanding of financial principles
Choosing the key to success from hanging keys The Art of Desicion Making program

The Art of Decision Making

Improve your decision-making style and avoid common decision traps
Man and women wearing VR glasses Leading Digital Transformation program

Leading Digital Transformation

Employ digitalization to guide your company to success