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ONLINE COURSE – Introduction to Scientific, Numerical, and Data Analysis Programming in Python (PYSC02) 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:

Python is one of the most widely used and highly valued programming languages in the world, and is especially widely used in data science, machine learning, and in other scientific computing applications. In order to use Python confidently and competently for these applications, it is necessary to have a solid foundation in the fundamentals of scientific, numerical, and data analysis programming Python. This two day course provides a general introduction to numerical programming in Python, particularly using numpy, data processing in Python using Pandas, data analysis in Python using statsmodels and rpy2. We will also cover the major data visualization and graphics tools in Python, particularly matplotlib, seaborn, and ggplot. Finally, we will cover some other major scientific Python tools, such as for symbolic mathematics and parallel programming and code acceleration. Note that in this course, we will not be teaching Python fundamentals and general purpose programming, but this knowledge will be assumed, and is also provided in a preceding two-day course.

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Intended Audience

This course is aimed at anyone who is interested in learning the fundamentals of Python generally and especially for ultimately using Python for data science and scientific applications. Although these applications are not covered directly here, but are covered in a subsequent course, the fundamentals taught here are vital for master data science and scientific applications of Python.

Venue – Delivered remotely

Time zone – GMT

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.

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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PYSC02
£ 275.00
Unlimited