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Manchester

Oxford Street, Manchester, United Kingdom, M1 5AN

DIRECTIONS

The office and training rooms are located under a 7 minute walk from Manchester Oxford Road Railway Station and a 10 minute walk from Deansgate Railway Station.

HOTELS

Link to information on Local Hotels

Peter House business center occupies a landmark building at a prominent central location in Manchester's established and vibrant business district, with city views overlooking Barbirolli Square and St. Peter's Square. A stunning central atrium fills the ground floor and reception with an abundance of natural light. The building is conveniently located with car parks, transport links and retail and leisure facilities on the doorstep. Recently ranked as the second best place to do business in the UK, the city is the UK's fifth largest financial center outside London. Manchester has a growing economy with many people (90,000) employed in financial services. It is also a centre for life sciences, professional services, creative, cultural and media, communications and manufacturing. The centre has 12 meeting rooms and conference suites.

Explore Our Courses

R Markdown for Dynamic Documents and Reproducible Reporting

14 Hours

Data Analytics with Tableau, Python, R, and SQL

35 Hours

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

21 Hours

Shiny App Web Development with R

14 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

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

Cluster Analysis with R and SAS

14 Hours

KNIME with Python and R for Machine Learning

14 Hours

Advanced Machine Learning with R

21 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

Building Web Applications in R with Shiny

7 Hours

Forecasting with R

14 Hours

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Provisional Upcoming Courses (Contact Us For More Information)

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