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Data Science for Business Managers II

Mannheim Business School gGmbH
Übersicht
Beginn: 09.11.2020 Online-Kurs / Fernlehrgang
4 Tage
3.808 EUR inkl. MwSt.
Englisch
Kurse
Data Science for Business Managers II

Beschreibung

Data Science for Business Managers II

Contents

"Data Science for Business II" is designed to deepen the knowledge of the participants in the use of analytical and computational tools to generate knowledge. The course aim to provide students a profound introduction in how to use machine learning, clustering techniques, classifiers, and network science tools, such that the students can generate various managerial insights and knowledge out of data. While the course has a solid theoretical foundation, it is de-signed to be a hands-on course in which the students apply the learnings from the first day onwards, solving cases and problems. The software used in class to solve the cases is R.

Course Objectives

In this course participants will continue their exposure to state-of-the-art methodologies for data science. The main objective of the course is that the students learn how to generate information, knowledge, and wisdom from data by applying advanced data-science methods. The overall objective of this course is that participants understand and are comfortable using advance analytics tools. The completion of this course shall position the students as experts in the managerial application of data analytics tools and set them above the average data-driven business manager.

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Inhalte / Module

In this course participants will continue their exposure to state-of-the-art methodologies for data science. The main objective of the course is that the students learn how to generate information, knowledge, and wisdom from data by applying advanced data-science methods. The overall objective of this course is that participants understand and are comfortable using advance analytics tools. The completion of this course shall position the students as experts in the managerial application of data analytics tools and set them above the average data-driven business manager.

The participants of this course will learn the foundation of statistical analytical methods, and will apply them to real-world cases. This course covers a wide range of methods and their application.
The course is split in dour parts. Each part has a teaching class in the morning and a case session in the afternoon. In the afternoon session of the third day, students will solve a graded case that they will present in the morning of the fourth day.

  • Predictive machine learning – Complex time forecasting using ML algorithms
  • Machine learning for classification I – Clustering and Trees
  • Machine learning for classification II – Naive Bayesian and Ensemble methods
  • Network Science – Connecting the dots

These concepts and tools will be introduced in class. Multi-Competence Teams (MCTs) formed by the students will solve cases in which they will have the opportunity to apply the learned concepts. By doing this, they will acquire skills that will help them increase their performance in corporate and entrepreneurial environments.

Aufbau & Organisation

This course is part of Management Analytics Certificate. It can be booked individually or as a module.

Optional tutorials included

  • Data Science With R
  • Data Science With Python

Zielgruppe / Voraussetzungen

If you would like to know more about the target group/requirements, please send an information request.

Kostenzusatz

Single Module Price

  • This 4-day course is € 3200 + Booking Fee + 16% VAT
  • (€ 2000 + Booking Fee + 5% VAT for current participants and MBS alumni)

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Kontaktinformation Mannheim Business School gGmbH

Mannheim Business School gGmbH

L 5, 6
68131 Mannheim

 Telefonnummer anzeigen
www.mannheim-business-school.com

Mannheim Business School gGmbH

Mannheim Business School gGmbH

Mannheim Business School gGmbH

Business Analytics and Management Analytics, Digital Innovation and Big Data are essential tools for the forthcoming challenges for businesses. Digitalization is changing the business world quickly and fundamentally. In order to keep pace with these developments and turn data into...


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