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Large Data Analytics

Course provider

DTU - Danmarks Tekniske Universitet

Location

  • Lyngby

Description

About the course:
In modern manufacturing, with a strong push towards digitalization, vast amounts of production data are now being generated, collected and stored. This data contains information that can be used for process understanding, improvement, optimisation and control.

The course provides you with tools that can help and accelerate the extraction of such valuable information from available data.

The course provides:
- An overview of a range of frequently used data analytics methods for process understanding, improvement and surveillance. A mixture of classical and relatively new methods in large data analytics will be covered.
- Immediate possibility to the participants to apply the methods covered during the course.
- Working knowledge through hands-¬on exercises for which the participants will work on provided data or on their own data.
- A brief overview of functionalities in The statistical software R that will be used for live demos and exercises throughout the course (R which is free statistical software that can be downloaded from https://cran.r-¬project.org .)

Who is the course for?
The course is aimed at all people who deal with data in their daily work. The participants are expected to have an introductory level knowledge in statistics.

DTU - Danmarks Tekniske Universitet

Practical information

Course provider

DTU - Danmarks Tekniske Universitet

Location

  • Lyngby

Course provider contact information

Contact Finanskompetencepuljen
E-mail: learnforlife@dtu.dk
Tel.:4525 4525

ECTS credits

0

About ECTS Credits
About ECTS points ECTS stands for European Credit Transfer System. This is a system that can be used for credit transfer within higher education abroad or in Denmark.

Course language

English

Offered to

Spring

Course duration

Se nærmere kursusdatoer og tilmeldingsfrister på DTU's egen hjemmeside eller kontakt DTU direkte, hvis der ikke er angivet datoer.

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Useful information

  • Who can apply

    Everyone employed in a company that is subject to a collective agreement between Financial Services Union Denmark and FA can use Finanskompetencepuljen

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