Managing Energy Data - Advanced Analytics

BA-3762

Dauer 3 months access with individual learning time Weitere Details

Nächster Kurs 09.10.2023 Zu den Terminen

Preis 700,00 € (brutto)
700,00 € (netto)
Umsatzsteuerfrei

Seminar Beschreibung

This course extracts insights from the energy big data to boost your business and create value added services. You learn how to develop and implement data science projects in energy businesses. Participants also evaluate the implications, challenges, and benefits of implementing data science projects in an energy company. You apply lessons learned from real-life business cases in which data science was applied to energy big data, and supervise the development and implementation of a data science project to create new value with the available data.

Termine

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Weitere Informationen

Lerninhalte

Module 1 - Get started on smart meter data and data science projects
Module 2 - Exploratory data analysis and data pre-processing
Module 3 - Customer segmentation
Module 4 - Energy forecasting
Module 5 - Digitalization supported by advanced analytics to deliver higher value
Module 6 - Business models strongly based on data science

Methode

You learn with a digital and interactive learning management system that provides the materials for a seminar. You have access to learning modules and sequences, links and other files. This enables a proven basis for location-independent and effective learning.

Zielgruppe

This course is beneficial for senior operations personnel in energy utilities (distribution system operators, energy suppliers) and industry but also energy entrepreneurs. (It can be beneficial as introduction to technicians that work in relevant areas.)

Kursdetails zu den Zeiten

3 months access to all learning content, flexible time management possible
Duration: 15 learning hours
Number of lessons: 21 Flyer

Ihre Vorteile

This course will empower you to:

Explain how datascience can bring value to the energy sector (through big data from IoT solutions, end consumers etc)
Evaluate the implications, challenges and benefits of implementing data science projects in an energy company
Apply lessons learned from real-life business cases in which data science was applied to energy big data
Supervise the development and implementation of a data science project and create new value with the available data