Courtray

VORK, Doorniksestraat 60, Courtray, Belgium, 8500 Kortrijk

You can rent 3 meeting rooms and an indoor terrace in VORK. Coffee, tea and water are always available. Everything is there to prepare the meeting rooms yourself. Would you like a sandwich lunch? Or would you like to combine your meeting with a lunch in the restaurant? It's all possible in VORK! Everything is available to prepare the meeting rooms yourself. Possibility of lunch (e.g. soup, sandwiches, etc.) or dinner in the restaurant after consultation with the restaurant manager. Additional facilities: clickshare available, video conference option. VORK is centrally located in the city and is therefore easily accessible on foot, by bicycle or by public transport. If you come by car, you can park underground or above ground at the following locations: Underground: Schouwburg parking, Veemarkt parking, K in Kortrijk, Budabrug parking, Houtmarkt parking Above ground: Station (Conservatoriumplein), Broeltorens (Ijzerkaai), Harbor (Botenkopersstraat), Kortrijk Weide (Nelson Mandelaplein). The first hour is always free! If you park for longer than one hour, you will have to pay (from €1). You can also park your car for free at Parking Expo (P+R) and take a free bus from De Lijn to the center. Redeem ticket with the bus driver: free parking + return ticket to the city center. More information at www.parko.be

Subcategories (3)

Explore Our Courses

Big Data Analytics with Google Colab and Apache Spark

14 Hours

Python, Spark, and Hadoop for Big Data

21 Hours

Administration of Apache Spark

35 Hours

Python and Spark for Big Data (PySpark)

21 Hours

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

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Big Data Analytics in Health

21 Hours

Introduction to Graph Computing

28 Hours

Hadoop and Spark for Administrators

35 Hours

Hortonworks Data Platform (HDP) for Administrators

21 Hours

A Practical Introduction to Stream Processing

21 Hours

SMACK Stack for Data Science

14 Hours

Apache Spark Fundamentals

21 Hours

Apache Spark in the Cloud

21 Hours

Spark for Developers

21 Hours

Scaling Data Pipelines with Spark NLP

14 Hours

Apache Spark SQL

7 Hours

Apache Spark MLlib

35 Hours

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Provisional Upcoming Courses (Contact Us For More Information)

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