Introduction to Python and Python for Data Analysis (bookings closed)

Date:

22/04/2024 - 23/04/2024

Organised by:

University of Exeter

Presenter:

Dr Lewys Brace

Level:

Entry (no or almost no prior knowledge)

Contact:

C2S2 admin team
University of Exeter
c2s2@exeter.ac.uk

Map:

View in Google Maps  (EX4 4PE)

Venue:

University of Exeter
Clayden
Streatham Campus
Exeter

Description:

Technological advancements have not only driven the digitisation of society and the emergence of novel socio-political issues, but have also resulted in significant developments in algorithms, computational power, and increasingly large datasets. 

This practical-based face to face session will be delivered over two days and will provide you with both the technical programming skills and understanding of data science techniques that you will need to research pre-existing and novel social-political and economic issues and the kind of transferable skills that are currently in demand in the job market. Specifically, it will introduce you to the Python programming language, assuming zero prior-experience, and give you the skills necessary to use it for data analysis.

This training can be standalone or taken in conjunction with Web-scraping with Python and Introduction to text data with Python on 24th and 25th April 2024 Web-scraping with Python and Introduction to text data with Python (ncrm.ac.uk)

 

Cost:

The fee per teaching day is £35 per day for students / £75 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector / £250 per day for all other participants. In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Region:

South West

Keywords:

Quantitative Data Handling and Data Analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis

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