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November 2020

Grundlagen und fortgeschrittene Themen für Analysten (Basics 1 & 2)

November 16, 09:00 - November 19, 17:00
GFU Cyrus, Am Grauen Stein 27
Cologne, NRW 51105 Germany
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This training is offered by an external company and taught by us. It consists of both Basics 1 and Basics 2 and will most likely be in German.

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Basics 1 – Predictive Models and their Validation

November 24, 09:00 - November 25, 17:00
Old World Computing, Industriestraße 27
Bochum, 44892 Germany
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In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…

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Basics 2 – Profiling and Complex Models

November 26, 09:00 - November 27, 17:00
Old World Computing, Industriestraße 27
Bochum, 44892 Germany
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Building on the training course Basics 1, this practical training course teaches how to create data profiles for the training of predictive models and how to choose meaningful quality criteria depending on the problem at hand. The predictive models that are already familiar are then combined with technologies for feature selection in order to identify important influence factors in the profiles. Participants will learn to create and optimize complex analytical predictive models. In the training course, the free version of RapidMiner…

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Deployment – Predictive Analytics in Live Use

November 30, 09:00 - December 1, 17:00
Old World Computing, Industriestraße 27
Bochum, 44892 Germany
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This course demonstrates what needs to be considered in the live use of data science and how the knowledge acquired in the basic training courses can be successfully integrated into existing business processes. All skills necessary for integrating data science technologies into fully automated business processes are taught and practised on RapidMiner Server. In order to monitor the fully automated deployment or, in a semi-automated scenario, to be able to provide an end user interface, participants learn about the possibilities…

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December 2020

Time Series Analysis

December 2, 09:00 - December 3, 17:00
Old World Computing, Industriestraße 27
Bochum, 44892 Germany
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In this training course, participants learn what needs to be considered in the analysis and harnessing of time series based data. Almost all data sources have a time reference which needs to be taken into account in the analysis. This time reference can provide valuable information but can also give a false indication of correlations and must therefore always be kept in mind when creating predictive models. The course provides participants with the technologies to deal with time-referenced data and…

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