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RapidMiner & DataScience: Foundations (Vienna)

RapidMiner Inc

Montag, 16. April 2018, 09:00 Uhr-Dienstag, 17. April 2018, 17:00 Uhr (MESZ)

RapidMiner & DataScience: Foundations (Vienna)
Verfügbare Termine


Ticketart Verkaufsende Preis Gebühr MwSt./USt. Anzahl
Regular Ticket 12.04.2018 1.440,00 € 0,00 € 273,60 €

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RapidMiner & DataScience: Foundations

Two-day class from 9:00 a.m. to 5 p.m.

Lunch and afternoon snacks will be provided.

Be sure to check out our RapidMiner & DataScience: Advanced course being held in the same location on directly before this event.

Course Overview

Detailed content overview: RapidMiner & DataScience: Foundations

Target Audience

Advanced Analysts and Data Scientists


Basic knowledge of computer programs and mathematics

Technical Set-up Requirement

You must download and install the latest free version of RapidMiner Studio available hereSystem requirements: http://docs.rapidminer.com/studio/installation/system-requirements.html

Refund Policy

Please email us at training@rapidminer.com no later than 10 days prior to the event to notify us that you cannot attend. No refunds will be given after this date.

NOTE: Classes require a minimum of 3 students seven days before the commencement of the course. If there are insufficient registrants, the class will be cancelled and all students will be refunded the full registration fee. Students should organize their travel arrangements accordingly and with this proviso.

Wenn Sie Fragen zu "RapidMiner & DataScience: Foundations (Vienna)" haben, wenden Sie sich an RapidMiner Inc.

Dieses Event speichern

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Zeit und Ort

INSET Research & Advisory
Neuer Markt 1/17
1010 Vienna

Montag, 16. April 2018, 09:00 Uhr-Dienstag, 17. April 2018, 17:00 Uhr (MESZ)

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RapidMiner Inc

RapidMiner builds software for real data science, fast and simple. We make data science teams more productive through a lightning fast platform that unifies data prep, machine learning, and model deployment. More than 200,000 users in over 150 countries use RapidMiner products to drive revenue, reduce costs, and avoid risks.

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