Introduction to Python for Data Analysis

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 2025.

This course covers:

• Introduction to coding principles and architecture

• Introduction to Python syntax

• Important Python modules for data analysis

• Introduction to data analysis

• Using Python for basic data analysis

By the end of this course participants will:

• Understand the basic principles of computer coding

• Use Python for a range of different tasks

• Understand how to use Python specifically for basic data analysis

Presenter:

Dr Lewys Brace is a Senior Lecturer in Computational Social Science and Co-Director of the University of Exeter's Q-Step Centre for Computational Social Science (C2S2), where he specialises in data science, artificial intelligence, extremism, terrorism, cybercrime, security and Open-Source Intelligence (OSINT).

His research currently focuses on online extremist radicalisation and the development of computational research methods for the social sciences and has appeared in journals such as Terrorism and Political Violence, Behavioral Sciences of Terrorism and Political Aggression, Studies in Conflict & Terrorism and Perspectives on Terrorism.

He can be found on Twitter @Lew_Brace and Bluesky @lewysbrace.bsky.social

Computer workshops:

All sessions requiring the use of a computer will take place in PC suites where you will have access to University of Exeter PCs. However, if you wish to bring your own laptop please ensure that the following is installed:

Anaconda Python distribution: https://www.anaconda.com/download

Target Audience:

Beginners with no prior experience with coding or data analysis, or those who are familiar with one but want to learn the other.

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.

Website and registration:

Region:

South West

Keywords:

Descriptive Statistics, Python, Data Visualisation, Data science, Computational Social Science

Related publications and presentations from our eprints archive:

Descriptive Statistics
Python
Data Visualisation

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