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ONLINE COURSE – Model selection and model simplification (MSMS01) This course will be delivered live

14 April 2021 - 15 April 2021

£275.00

This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

TIME ZONE – UK local time (GMT+0) – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).

Course Overview:

COMING SOON

THIS IS ONE COURSE IN OUR R SERIES – LOOK OUT FOR COURSES WITH THE SAME COURSE IMAGE TO FIND MORE IN THIS SERIES

Intended Audience

This course is aimed at anyone who is interested in using R for data science or statistics. R is widely used in all areas of academic scientific research, and also widely throughout the public, and private sector.

Venue – Delivered remotely

Time zone – GMT+0

Availability – TBC

Duration – 2 days

Contact hours – Approx. 15 hours

ECT’s – Equal to 1 ECT’s

Language – English

PLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.

Dr. Mark Andrews
Teaching Format
Course Programme

Details

Start:
14 April 2021
End:
15 April 2021
Cost:
£275.00
Event Categories:
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Venue

Delivered remotely (United Kingdom)
Western European Time, United Kingdom + Google Map

Tickets

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MSMS01
£ 275.00
Unlimited