Applied Data Analysis Workshops

The Q-Step workshops in Applied Data Analysis seek to provide additional support to students interested in Quantitative Methods for the Social Sciences. They aspire to raise interest in Applied Data Analysis amongst undergraduates and postgraduates, and embed quantitative literacy in the culture of the University.

The workshops are open to all, with priority given to Q-Step undergraduate students: Space is strictly limited to 20 places per workshop.

WhenTimeDescriptionLocationAdd to your calendar
20 November 201711:30

Q-Step: Intro to Python

Python is increasingly used by social scientists to collect, process and analyse new types of unstructured or semi-structured data, such as online text and social media data. It is a an accessible, yet versatile programming language which is also broadly used for data science and machine learning tasks, combining multiple types of data, simulation and visualization. This workshop provides an introduction to basic programming notions in Python, and introduces some of the most useful packages used in social science research. No previous programming experience is required. NOTE: This workshop is a prerequisite for the following Q-Step workshops (to be offered this and next term): Collecting Social Media Data, Data Analysis in Python, Text Analysis.. Full details
Forum Exploration Lab 1 Add event
30 November 201714:30

Q-Step : Designing Experiments

At the workshop we will consider basic principles of designing field and survey experiments. We will start with discussing the idea of causal inference and randomisation. Then we will review several experimental designs: completely randomised, stratified, paired, cluster randomised, factorial. Next, we will discuss statistical power in experiments and conclude with a review of the methods for the analysis of experimental data, such as ANOVA and linear model. The workshop will be useful for Q-Step undergraduate students planning to use experiments for their dissertations, as well as for postgraduate students. Full details
Peter Chalk Centre 2.4 Add event
7 December 201716:30

Q-Step: Collecting Social Media Data

This workshop provides an introduction to the main methods used to access, download and store social media data. You will learn how to use Twitter's APIs to collect tweets and user details, and how to collect Facebook posts and comments. Basic knowledge of programming in Python is required, and participants are required to attend the "Intro to Python" workshop first.. Full details
Peter Chalk Centre 1.3 Add event

Past workshops

The descriptions, times and locations of the Q-Step workshops in Applied Data Analysis of 2015/16 can be found here, while the workshop materials and videos of full sessions can be found on the Q-Step ELE page (note: requires a valid University of Exeter login).