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Data Storytelling: Explaining the Social World (GEOG0177)

Key information

Faculty
Faculty of Social and Historical Sciences
Teaching department
Geography
Credit value
15
Restrictions
This module is open to programmes within the SHS faculty with the following exceptions: The module is not available to students in departments of Economics and Political Science, or to students studying the BA Geography with Social Data Science because all of those programs already include instruction in basic data science, making this module redundant. The module is also not available to students who have taken POLS0008 and subsequently left the BA Geography with Social Data Science pathway, as it repeats a lot of content from that module. It is also not available to students who have taken, or are enrolled on, GEOG0162 and GEOG0030
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module is for students who want to understand what data science is, and how it can be used to answer important questions about the social world. No knowledge of mathematics or statistics is required: the module introduces data science techniques in an accessible way, making it suitable for students from all disciplinary backgrounds. It integrates data analysis with a ‘data storytelling’ approach that focuses on communicating findings from data using creative visualisations and journalistic techniques. Students will leave the module empowered to apply, interpret and critically analyse statistical methods. They will become better researchers and more informed citizens, but also confident and effective communicators of the insights from data. The course content includes the basic tools of data science – describing and visualising data and uncovering patterns – as well as how to implement them through coding. This material is interwoven with instruction in a series of techniques to communicate the results of data analysis in compelling ways, both verbally and visually.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 6)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
28
Module leader
Dr Igor Tkalec
Who to contact for more information
geog.office@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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