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Understanding Data Analytics

Data Analytics

Executive education program in English

Data Analytics (ADM.4)

Module 1
Self-paced online
Dates 12. - 23. Sep 2022
Module 2
Self-paced online
Dates 26. Sep - 7. Oct 2022
Module 3
Self-paced online
Dates 10. - 21. Oct 2022
Module 4
Self-paced online
Dates 24. Oct - 4. Nov 2022
2,400 €

Convert data insights into business value

icon online learning journey

 

This is a self-paced online program.

Have you ever looked at your company’s data and wondered how you could use it to add value to your business? Do you read the quarterly report from your data-science team wishing you had the confidence to turn its insights into optimal decisions? Do you want to learn how data analytics can optimize processes and drive evidence-based decision-making?

If you answered yes to any of these questions, you will benefit from this program. With ever more access to data, managerial decision-making is increasingly data-driven. This program focuses on building the thinking skills necessary to become an informed and empowered user of analytics.

The program is delivered online and consists of 4 modules à 6-8 hours of self-paced learning, with one introductory module and three further in-depth modules.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.

  • Your profile

    • You are a senior manager or an executive who aims to implement data-driven decision processes in your teams, and who wishes to understand the principles of analytics or to acquire the knowledge and communication skills needed to steer your analysts.
    • You are confronted with a specific analytics challenge and expected to come up with concrete proposals on how to distill and extract value from data.

  • Benefits

    • Getting acquainted with standard software packages
    • Gaining a better understanding of how your analytics challenges can be operationalized and resolved
  • Topics

    • Analytics Fundamentals: basic tools for becoming a discerning user of quantitative analyses
    • Advanced Analytics: journey into predictive analytics, focusing on regression and cluster analysis
    • Decision Trees and Risk Analysis: decision trees as an advanced tool to address uncertainty in complex, sequential decisions by mapping out, organizing, and analyzing decision paths and chance events
    • Machine Learning and Artificial Intelligence: how machine learning can enhance, automate, and scale business decision-making processes

Your profile

  • You are a senior manager or an executive who aims to implement data-driven decision processes in your teams, and who wishes to understand the principles of analytics or to acquire the knowledge and communication skills needed to steer your analysts.
  • You are confronted with a specific analytics challenge and expected to come up with concrete proposals on how to distill and extract value from data.

Benefits

  • Getting acquainted with standard software packages
  • Gaining a better understanding of how your analytics challenges can be operationalized and resolved

Topics

  • Analytics Fundamentals: basic tools for becoming a discerning user of quantitative analyses
  • Advanced Analytics: journey into predictive analytics, focusing on regression and cluster analysis
  • Decision Trees and Risk Analysis: decision trees as an advanced tool to address uncertainty in complex, sequential decisions by mapping out, organizing, and analyzing decision paths and chance events
  • Machine Learning and Artificial Intelligence: how machine learning can enhance, automate, and scale business decision-making processes

Data Analytics (ADM.4)

Module 1
Self-paced online
Dates 12. - 23. Sep 2022
Module 2
Self-paced online
Dates 26. Sep - 7. Oct 2022
Module 3
Self-paced online
Dates 10. - 21. Oct 2022
Module 4
Self-paced online
Dates 24. Oct - 4. Nov 2022
2,400 €
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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.

Postgraduate Diploma in Management

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.

Earn your certificate
Your Program Advisor

Contact

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

Phone: +49 30 21231 6205

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