Data Science/Analytics using Python (DSAP01)
23 September 2019 - 27 September 2019£275.00 - £525.00
Venue – PS statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 30 places
Duration – 5 days
Contact hours – Approx. 28 hours
ECT’s – Equal to 3 ECT’s
Language – English
We offer COURSE ONLY and ACCOMMODATION PACKAGES;
• COURSE ONLY – Includes lunch and refreshments and welcome meal Monday evening.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, refreshments and welcome dinner Monday evening. Self-catering facilities are available in the accommodation. Accommodation is multiple occupancy (max 3- 4 people) single sex en-suite rooms. Arrival Sunday 22nd September (between 17:00-21:00) and departure Friday 27th September (accommodation must be vacated by 09:15).
To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.
Other payment options are available please email email@example.com
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 firstname.lastname@example.org. 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 (and accommodation fees if booked through PS statistics) will be credited. However, PS statistics will not be held responsible/liable for any travel fees, accommodation costs or other expenses incurred to you as a result of the cancellation. Because of this PS statistics strongly recommends any travel and accommodation that is booked by you or your institute is refundable/flexible and to delay booking your travel and accommodation as close the course start date as economically viable.
Dr. Mark Andrews
This course will be hands-on and workshop based. Throughout each day, there will be some lecture style presentation, i.e., using slides, introducing and explaining key concepts. However, even in these cases, the topics being covered will include practical worked examples that will work through together.
Assumed quantitative knowledge
Assumed computer background
Equipment and software requirements
UNSURE ABOUT SUITABLILITY THEN PLEASE ASK email@example.com
Meet at 43 Cook Street, Glasgow G5 8JN between 17:00 – 21:00
Monday 23rd – Classes from 09:30 to 17:30
Tuesday 24th – Classes from 09:30 to 17:30
Wednesday 25th – Classes from 09:30 to 17:30
Thursday 26th – Classes from 09:30 to 17:30
Friday 27th – Classes from 09:30 to 16:00