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.

Explore Our Courses

Data Mining with Weka

14 Hours

SPSS Modeler

14 Hours

Data Mining with Excel

14 Hours

Oracle SQL Intermediate - Data Extraction

14 Hours

Cluster Analysis with R and SAS

14 Hours

From Data to Decision with Big Data and Predictive Analytics

21 Hours

Data Mining and Analysis

28 Hours

Data Mining

21 Hours

Data Mining with Python

14 Hours

Data Mining with R

14 Hours

Data Vault: Building a Scalable Data Warehouse

28 Hours

Data Visualization

28 Hours

Data Mining & Machine Learning with R

14 Hours

Data Science for Big Data Analytics

35 Hours

Foundation R

7 Hours

KNIME Analytics Platform for BI

21 Hours

Introductory R for Biologists

28 Hours

Statistics with SPSS Predictive Analytics Software

14 Hours

Process Mining

21 Hours

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Provisional Upcoming Courses (Contact Us For More Information)

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