Analytics for Decision Makers - Module 3: Decision Trees and Risk Analysis - ONLINE PROGRAM

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Online
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computer Online:
26 okt. 2020 tot 6 nov. 2020

Beschrijving

Analytics for Decision Makers - Module 1: Analytics Fundamentals - ONLINE PROGRAM

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 analyti…

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Analytics for Decision Makers - Module 1: Analytics Fundamentals - ONLINE PROGRAM

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.


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
Online

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

Module 2: Advanced Analytics
Online

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

Module 3: Decision Trees and Risk Analysis
Online

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 and Artificial Intelligence
Online

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

Tuition:

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

Über die ESMT Berlin

Die ESMT Berlin ist die höchstplatzierte Business School in Deutschland und die erste und einzige deutsche Wirtschaftsuniversität in den europäischen Top 10. Von 25 führenden globalen Unternehmen gegründet, bietet die ESMT Master-, MBA- und PhD-Studiengänge sowie Managementweiterbildung an. Die Kurse werden auf dem Berliner Campus, an Standorten weltweit sowie als Onlinekurse mit Teilpräsenz angeboten. Mit einem Fokus auf Leadership, Innovation und Analytics veröffentlichen die Professorinnen und Professoren der ESMT regelmäßig ihre Forschungsergebnisse in führenden wissenschaftlichen Zeitschriften. Zusätzlich bietet die ESMT eine Plattform für den Diskurs zwischen Politik, Wirtschaft und Wissenschaft. Die ESMT ist eine staatlich anerkannte private wissenschaftliche Hochschule mit Promotionsrecht und ist von AACSB, AMBA, EQUIS und FIBAA akkreditiert.  

ESMT Berlin is the highest ranked business school in Germany and Top 10 in Europe. Founded by 25 leading global companies, ESMT offers master’s, MBA, and PhD programs, as well as executive education on its campus in Berlin, in locations around the world, and in online blended format. Focusing on leadership, innovation, and analytics, its diverse faculty publishes outstanding research in top academic journals. Additionally, the international business school provides an interdisciplinary platform for discourse between politics, business, and academia. ESMT is a non-profit private institution of higher education, accredited by AACSB, AMBA, EQUIS, and FIBAA.


ESMT GmbH
European School of Management and Technology
Schlossplatz 1
10178 Berlin

www.esmt.berlin

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