Sheffield

The Chimney House, 4 Kelham Island, Sheffield, united kingdom, S3 8RY

The Chimney House is a creative and innovative space in the centre of Sheffield – the biggest feedback we receive from companies that use us is that they noticeably observe higher levels of performance and interaction from teams and individuals. The building is formed on the ethos of the truest form of recycling – 85% of furnitures, fittings and décor has been created from reclaim and salvage and matched with a ultra modern outlook. We host meetings, trainings, brainstorming sessions, workshops, away days and conferences as well as product launches, interviews, filming and photoshoots on a daily basis. Light, airy with plenty of table space, multiple power sources, hidden screen, wireless projector, state of the art audio system and full building high speed wi-fi. Need to break out? We can help, with a choice of 2 additional rooms for hire. We're famed for our lunches that are brim full of Yorkshire fresh produce. Sourced from the 7 hills of Sheffield and supporting local and independent makers and bakers, our lunches are tip top tasty with cake to die for! There are multiple car parks within a few minutes walk. We can provide a handy 'How to Guide' to recommend the easiest way to arrive by road, rail, bicycle, foot and tram. We are also home to Supper Society, a secret dining society that meets sporadically, hosted by guest chefs. The only time an individual seat at The Chimney House table can be acquired.

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

21 Hours

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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Testimonials (9)

Provisional Upcoming Courses (Contact Us For More Information)

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