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.

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Explore Our Courses

Data Analytics with Tableau, Python, R, and SQL

35 Hours

Data Analysis with Python, R, Power Query, and Power BI

21 Hours

Statistical Analysis with Stata and Integration with R

35 Hours

Data Analytics With R

21 Hours

Data and Analytics - from the ground up

42 Hours

NLP: Natural Language Processing with R

21 Hours

R Programming for Excel

21 Hours

R Programming for Finance

28 Hours

Advanced R

14 Hours

Algorithmic Trading with Python and R

14 Hours

Programming with Big Data in R

21 Hours

Introductory R (Basic to Intermediate)

14 Hours

R Fundamentals

21 Hours

Cluster Analysis with R and SAS

14 Hours

Data Mining with R

14 Hours

Data Mining & Machine Learning with R

14 Hours

Foundation R

7 Hours

Introduction to R with Time Series Analysis

21 Hours

KNIME with Python and R for Machine Learning

14 Hours

Marketing Analytics using R

21 Hours

Predictive Modelling with R

14 Hours

Advanced Machine Learning with R

21 Hours

Introductory R for Biologists

28 Hours

R

21 Hours

Neural Network in R

14 Hours

Advanced R Programming

7 Hours

R Programming for Data Analysis

14 Hours

Shiny, R and HTML: Merging Data Science and Web Development

7 Hours

Statistical Analysis with Stata and R

35 Hours

Data Science with Tableau and R Programming

14 Hours

Introduction to Data Visualization with Tidyverse and R

7 Hours

Building Web Applications in R with Shiny

7 Hours

Forecasting with R

14 Hours

R for Data Analysis and Research

7 Hours

Introduction to R

21 Hours

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Provisional Upcoming Courses (Contact Us For More Information)

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