Q-Step workshops in Applied Data Analysis of 2016/17

Besides the descriptions of the workshops below, University of Exeter students can check out the Q-Step ELE page for workshop materials like data sets, as well as videos of the full sessions.

When	Time	Description	Add to your calendar
24 - 25 April 2024		Web-scraping with Python and Introduction to text data with Python This course provides the foundations for you to understand, execute and communicate text data analysis in a widely recognised software platform that was built for data analysis. Specifically, it will introduce additional skills using the Python programming language and requires prior introductory experience with Python. . Full details	Add event
22 - 23 April 2024		Introduction to Python and Python for Data Analysis 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.. Full details	Add event
8 November 2023	10:00	Maps in Stata The two hour interactive workshop aims to equip the participants with the tools and the code to start making high-quality maps in Stata. Full details	Add event
29 - 30 June 2023		NCRM Mixed Methods Workshop This two-day workshop will focus on analysing and presenting data from mixed methods projects. REGISTRATIONS ARE NOW LIVE. Full details	Add event
6 - 14 April 2022		NCRM UoE Computational Communication Methods Spring School - APPLY NOW Researchers interested in computational social science will be given the chance to learn new skills at a spring school in April 2022. The NCRM/Exeter Computational Communication Methods Spring School will provide training at introductory and advanced levels, catering for both social scientists and data scientists. Full details	Add event
23 November 2021	9:00	Exeter Q-Step/NCRM Introduction to Nvivo for Social Scientists NVivo is a powerful and intuitive qualitative data analysis software for gaining richer insights from diverse data. This workshop is aimed at those who have no experience of Nvivo and little-to-no experience of computer coding. Full details	Add event
1 July 2020	13:00	Data Analysis and visualisation with Python Building upon the basic introduction offered to Python in workshop 1, this workshop will cover exploratory data analysis, quantitative data analysis, and visualising data in Python and the Seaborn package. Full details	Add event
24 June 2020	13:00	Introduction to Python for Social Scientists This workshop is aimed at those who have no experience of Python and little-to-no experience of computer coding.. Full details	Add event
3 June 2020	13:00	Longitudinal Data Analysis In this workshop you will learn about the principles of longitudinal data analysis; when it should be used and the advantages and disadvantages of longitudinal methods. Full details	Add event
15 May 2020	13:00	An Introduction to Open-Source Intelligence and its practical applications - ONLINE Workshop This seminar will be an Introduction to Open-Source Intelligence (OSINT). It will cover some broad themes of what OSINT is and what it is not, as well as some thoughts on the future of OSINT.. Full details	Add event
12 May 2020	14:00	Bayesian analysis with JAGS/Topics in Bayesian analysis - ONLINE Workshop One of the advantages of Bayesian analysis is its great flexibility with respect to the functional form of the model. To take full advantage of this flexibility, the analyst need to know how to write code for Stan, JAGS, BUGS or a similar sample.. Full details	Add event
11 May 2020	14:00	Introduction to Bayesian analysis - ONLINE Workshop This workshop offers an introduction to Bayesian analysis in R. We will talk about the theoretical underpinnings of Bayesian analysis and the practical considerations for conducting such analyses in R.. Full details	Add event
4 March 2020	13:00	Data Analysis with R for Social Scientists Building upon the basic introduction offered to R in workshop 4, this workshop will cover exploratory data analysis, quantitative data analysis, and visualising data using R, as well as introducing the various libraries that a user needs to be familiar with in order to carry out such tasks. Full details	Add event
5 February 2020	13:00	Introduction to GIS A geographic information system (GIS) is a system designed to allow researchers to capture, store, manipulate, analyse, manage, and present spatial or geographic data. This workshop will introduce attendees to the introductory principles of GIS and how to use Python QGIS for research purposes. Full details	Add event
30 January 2020	9:00	Analysing ambiguity: understanding and managing complexity in the professional environment Suggested participants: Mid/senior level managers, SMEs in any business sector, those seeking promotion to management levels or new to management, HR SMEs, Data scientists/analysts. Full details	Add event
15 January 2020	13:00	Introduction to R for Social Scientists This workshop is aimed at those who have no experience of R, and will provide a solid introduction to using it for data analysis by covering how to handle data structures such as vectors, matrices, and data frames. Full details	Add event
3 December 2019	12:30	Introduction to LaTex LaTex is a document preparation system for high-quality typesetting that is used extensively in academia and elsewhere for technical and scientific documents. This workshop is aimed at those with little-to-no experience of LaTex, but who wish to develop a working understanding of it in order to produce high-quality documents. Full details	Add event
6 November 2019	13:00	Data Analysis and visualisation with Python for Social Scientists Building upon the basic introduction offered to Python in workshop 1, this workshop will cover exploratory data analysis, quantitative data analysis, and visualising data in Python and the Seaborn package. Full details	Add event
2 October 2019	13:00	Introduction to Python for Social Scientists This workshop is aimed at those who have no experience of Python and little-to-no experience of computer coding. The workshop will provide a practical introduction to the Python programming language, and cover a host of the major operations a user will need to do in Python; ranging from assigning variables and working with lists, through to writing to/reading from a file, producing graphs, and debugging. Full details	Add event
25 July 2019	13:00	Understanding women's mental health across the lifecourse The aim of this workshop is to bring researchers together across the University of Exeter, and beyond, with an interest in understanding women’s mental health. The workshop will convene a multi-disciplinary group with shared substantive interests, but who take different approaches to research on this topic.. Full details	Add event
5 June 2019	13:00	CANCELLED: Introduction to SQL for Data Science Unfortunately this workshop has been cancelled. We apologise for any inconvenience caused. Full details	Add event
17 April 2019	13:00	Detecting trolls on Reddit: Introduction to Computational Text Analysis and Supervised Machine Learning in R Computational propaganda is becoming a non-negligible presence on news forums and social media, and it is crucial to be able to separate between real users and social bots or trolls. Following Twitter, Reddit released a list of accounts suspected of being state-sponsored trolls, users who wrote more than 15.000 posts and comments between 2015 and 2018. How precisely can these posts be detected based on their content and the available metadata and what techniques can be used to achieve maximum accuracy?. Full details	Add event
20 March 2019	13:30	Longitudinal Data Analysis for Social Scientists In this workshop you will learn about the principles of longitudinal data analysis; when it should be used and the advantages and disadvantages of longitudinal methods. Full details	Add event
6 March 2019	13:30	Data Analysis with R for Social Scientists Building upon the basic introduction offered to R in workshop 4, this workshop will cover exploratory data analysis, quantitative data analysis, and visualising data using R, as well as introducing the various libraries that a user needs to be familiar with in order to carry out such tasks. Full details	Add event
6 February 2019	13:00	Introduction to Discourse Network Analysis (DNA) Discourse network analysis is a toolbox of research methods for the analysis of actor-based debates, such as policy debates or political discussions. Examples include the policy debates on climate change, pension politics, or around the introduction of large infrastructure projects. Full details	Add event
23 January 2019	13:00	Network Analysis for Social Scientists This workshop provides an introduction for beginners to Social Network Analysis. It gives an overview of key concepts needed to design research that looks at social relations (networks) that connect individual units (actors), so that students can apply social network analysis to their own research.. Full details	Add event
9 January 2019	13:00	Introduction to R for Social Scientists This workshop is aimed at those who have no experience of R, and will provide a solid introduction to using it for data analysis by covering how to handle data structures such as vectors, matrices, and data frames. Full details	Add event
5 December 2018	14:00	Sentiment Analysis/Career as a Data Scientist ASI Data Science utilise artificial intelligence and machine learning techniques in conjunction with large and small data sets in order to provide businesses with a competitive advantage. In this workshop, members of the company will provide an in-depth understanding of sentiment analysis, and how it can identify and categorise opinions from text data in order to understand the attitude of the individual(s) that wrote a piece of text. Full details	Add event
7 November 2018	13:00	Data Analysis with Python for Social Scientists Building upon the basic introduction offered to Python in workshop 1, this workshop will cover exploratory data analysis, quantitative data analysis, and visualising data in Python. It will also provide an introduction to the major Python packages used in data analysis; including NumPy, Pandas, and Seaborn. Full details	Add event
10 October 2018	13:00	Introduction to Python for Social Scientists 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 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.. Full details	Add event
3 October 2018	13:00	Introduction to Python for Social Scientists 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 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.. Full details	Add event
29 March 2018	16:00	Q-Step: Multilevel Modelling In this tutorial, we introduce multilevel models as extensions of regression-type models suited to analyse hierarchical or nested data, such as children's SATs test scores nested within classes or schools, individual survey responses nested within interviewers, or, potentially, any measure taken repeatedly over time. I’ll demonstrate code on the spot in R, so you might find it helpful to bring your laptops (but it’s optional). Full details	Add event
8 March 2018	15:30	Q-Step: Text Analysis - Python tbc. Full details	Add event
6 March 2018	11:30	Q-Step : Agent-based modeling Though models sit at the centre of lines of social inquiry as diverse as game theory, statistical analysis, qualitative analysis, and political philosophy, all involve an attempt to describe core elements of the world in a way that helps us to understand, value, and predict that world. With Agent Based Models, computer simulations of the behaviours of many agents work deductively from simplified assumptions to create dynamic interactions that can be examined over a range of conditions to make inductive arguments about the nature of the world. In this generative reasoning approach, agents with very simple micromotives can lead to complex adaptive systems in which qualitatively different macrobehaviours emerge. How do very simple assumptions about drivers, city dwellers, and voters lead to complex emergent phenomena like traffic jams, housing segregation, and party realignment? In this lecture, I’ll introduce answers to these questions by building models of these problems and highlight tools you can use to develop your own agent based models. Full details	Add event
27 February 2018	11:30	Q-Step : Network Analysis The workshop provides an introduction for beginners to Social Network Analysis. It gives an overview of key concepts needed to design research that looks at social relations (networks) that connect individual units (actors), so that students can apply social network analysis to their own research. The workshop focuses on the description and visualisation of social network data, looking at structural properties of a network, as well as ideas of centrality in the network. To understand the SNA perspective, practical examples are given from academic literature, illustrative graphics from the media, and source material visualised through R. Experience in R is expected although not required. We will use a combination of slides and R code exercise. Full details	Add event
20 February 2018	17:00	Q-Step: Longitudinal Data Analysis In this workshop you will learn about the principles of longitudinal data analysis, when it should be used and the advantages and disadvantages of longitudinal methods. You will also be introduced to event history analysis and learn how to construct a person-year data file. Finally, you will learn to run common hazard models and create a survival curve. The workshop will be taught using STATA software with examples from the British Household Panel Survey (BHPS). Please note that a prior experience with regression analysis is required. Full details	Add event
6 February 2018	11:30	Q-Step: Data Analysis - Python TBC. Full details	Add event
30 January 2018	11:30	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	Add event
7 December 2017	16:30	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	Add event
30 November 2017	14:30	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	Add event
20 November 2017	11:30	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	Add event
9 November 2017	16:30	Q-Step: Data visualisation in R We will introduce the common approaches to data visualisation in R, including line / bar charts, scatterplots, histogram and density plots in base R and using the ggplot2 package. We will also discuss the aesthetics, geoms and faceting systems in ggplot2. Please bring your own laptop with R, RStudio, and the following packages installed: "tidyverse", "titanic". Full details	Add event
26 October 2017	16:30	Q-Step: Data management in R In this workshop, we introduce some of the most popular functions and packages for data management/manipulation including fast data cleaning, recording a number of variables simultaneously, aggregating or summarising data by groups, merging tables, reshaping tables. Using an example data set provided on the spot, we will go through (s/t)apply functions, and functions provided by the dplyr package and the data.table package. Participants will be able to use their own laptops during this workshop and receive support with software installation. Full details	Add event
30 June 2017	9:15	Collecting and Analysing Social Media Data This workshop, taught by Prof. Robert Ackland (ANU and Uberlink), provides an introduction to social media analysis using the R package SocialMediaLab. The package provides an easy way to collect text and network data across multiple popular social media platforms (Twitter, Facebook, YouTube and Instagram). You will learn how to collect the data, analyse and visualize it, and generate different types of networks for analysis.. Full details	Add event
16 May 2017	11:00	Trump's 2016 Victory: Rethinking Theories of Ad Persuasion Professor Travis Ridout is Thomas S. Foley Distinguished Professor of Government and Public Policy in the School of Politics, Philosophy and Public Affairs at Washington State University. He is also co-director of the Wesleyan Media Project, which tracks political advertising. Ridout's research on political campaigns and political advertising has appeared in the American Journal of Political Science, British Journal of Political Science, Journal of Politics, Political Communication, Political Behavior, Political Psychology, Annual Review of Political Science, and in several book chapters. Full details	Add event
3 March 2017	9:30	Network Analysis The workshop provides an introduction for beginners to Social Network Analysis. Full details	Add event
24 February 2017	9:30	Analysing Text as Data The workshop will introduce and provide hands on applications of various techniques of content analysis especially focusing on the analysis of texts.. Full details	Add event
17 February 2017	9:30	Data Visualisation in R In this workshop we will introduce you to data visualisation in R with two popular packages, dplyr and ggplot2. We will cover most main types of statistical graphics. Full details	Add event
10 February 2017	9:30	Presenting and Visualising Regression Results This workshop introduces various ways of automating regression output from Stata and R.. Full details	Add event
3 February 2017	9:30	Data Analysis in R Building upon the 'Introduction to Programming in R' and the 'Data Visualisation in R' sessions, this workshop provides a brief introduction to major data analysis topics and their implementation in R. Covered topics include: probability distributions, regression analysis, models for binary and categorical data. Full details	Add event
20 January 2017	9:30	Introduction to R This workshop provides an introduction to basic programming notions and their application in R.. Full details	Add event
9 December 2016	12:30	Qualtrics surveys and survey experiments Students and research staff in the College of Social Sciences and International Studies now have access to the online survey platform Qualtrics. In this tutorial you will learn how to use Qualtrics to design customized surveys and survey experiments, distribute them, collect the data and report the results. Full details	Add event
2 June 2016	11:30	Sequence Analysis — Alexey Bessudnov This workshop offers an introduction to sequence analysis in social sciences. This type of analysis is applied to longitudinal data to model patterns of transitions between states. The usual applications in social sciences are in life course studies for the analysis of labour market trajectories, family dynamics, and other historical sequences. The workshop use the TraMineR package for R. Full details	Add event
22 March 2016	10:30	Presenting and Visualising Regression Results — Nils-Christian Bormann This workshop introduces various ways of automating regression output from Stata and R. It will start by covering ways how to automate table creation for Latex and Word. It will then proceed to visualizing marginal effects and predicted probabilities from linear and binary dependent variable regressions and finally discuss visualization of interaction effects. If time permits, we will cover R's advanced plotting and data manipulation packages ggplot2 and dplyr/plyr. Full details	Add event
12 February 2016	14:30	Data Analysis in R — Iulia Cioroianu Building upon the "Introduction to Programming in R" session, this workshop provides a brief introduction to major data analysis topics and their implementation in R. Topics covered include: probability distributions, regression analysis, and models for binary and categorical data. Full details	Add event
22 January 2016	13:30	Introduction to Programming in R — Iulia Cioroianu This workshop provides an introduction to basic programming notions and their application in R. We will start with an overview of R objects and their attributes. You will then learn how to import data into R and perform simple data manipulations. Finally, we will go over a few simple examples of data analysis and visualization and introduce some of the most commonly used R packages. We will be using RStudio, a user-friendly interface to R. Full details	Add event
8 December 2015	11:30	Analysing Text as Data — Ekaterina Kolpinskaya This fifth Q-Step workshop of 2015–16 on Applied Data Analysis introduces and provides hands on applications of various techniques of content analysis especially focusing on the analysis of texts. It starts from outlining the key concepts, defining units of analysis and understanding measurement techniques and theoretical approaches. It then moves on to reviewing applications of content analysis to Social Sciences data (e.g., parliamentary records, political manifestos, policy documents). Finally, participants will be provided with textual data to practice the content analysis techniques.Feel free to bring your own documents (any type of text in digitised, preferably .txt, format) to the workshop. Full details	Add event
1 December 2015	12:30	Network Analysis — Lorien Jasny This fourth workshop of 2015–16 provides an introduction for beginners to Social Network Analysis. It gives an overview of key concepts needed to design research that looks at social relations (networks) that connect individual units (actors), so that students can apply social network analysis to their own research. The workshop focuses on the description and visualisation of social network data, looking at structural properties of a network, as well as ideas of centrality in the network. To understand the SNA perspective, practical examples are given from academic literature, illustrative graphics from the media, and source material visualised through R. Full details	Add event
11 November 2015	16:30	SPSS Intermediate — Katharine Boyd This workshop introduces you to the basics of statistical analysis using SPSS focusing on cross-tabulations and correlations in particular. The workshop is taught at the intermediate level and requires basic knowledge of SPSS or the attendance of SPSS Beginners Workshop. Full details	Add event
4 November 2015	16:30	SPSS Beginners — Katharine Boyd This Q-Step workshop offers a brief guidance on how to get started with SPSS. It reflects on the drawbacks and benefits of the software and explains how to prepare your data to use in SPSS. The workshop then moves on to demonstrate how you can describe the data in SPSS using the 2010 British Election Study data. There are no pre-requisites for taking the workshop, and no prior knowledge of data analysis is assumed. Full details	Add event
20 October 2015	12:30	How to Read an Empirical Paper — Gabriel Katz-Wisel Reading empirical articles can be intimidating. The new reader may be daunted by technical jargon, complex methodological procedures and statistical analysis. This workshop guides you through a process to make sense of the typical analysis in an empirical study. Full details	Add event