COURSE

COURSE CATEGORY

META DESCRIPTION

INSTRUCTORS/

AUTHORS

Analyze Qualitative Data

Data Literacy

This course will develop your skills in understanding and evaluating your data. It identifies the appropriate approach to coding and uses techniques to categorize and pull themes from your data, building confidence and proficiency in every stage of the data analysis process.

Dr. Robert Thomas

Introduction to Data Management

Data Literacy

This course equips you with an understanding of different data management practices, providing you with the tools and knowledge to manage your data effectively. It covers strategies for working with and organizing research data, and supports you in sharing your data securely, effectively, and in line with FAIR principles.

Dr. Alessandra Vigilante

Introduction to Data Visualization

Data Literacy

The focus of this course is to impart the craft of the data visualization discipline. You will understand what to think, when to think and how to resolve all the analytical and design decisions involved in any data-driven challenge. You'll improve your creative and analytical decision-making by adopting a design workflow to create data visualizations that are trustworthy, accessible and elegant.

Andy Kirk

Know Your Numbers

Data Literacy

This course teaches easy ways to nail basic numbers and gives an understanding of why this is important. It explores the relationships between numbers and how this underpins all quantitative research.
It will help you develop an understanding of fractions, percentages, and ratios, and teach you to use these to evaluate data and make comparisons.

John MacInnes

Practical Data Management with R

Data Literacy

On this course you will learn how to use R to manage data in a wide variety of formats, in a reproducible manner, and at scale.

Matt Denny

Sampling for Beginners

Data Literacy

This course introduces the fundamentals of selecting a sample for research involving human participants. It takes a practical approach to sampling and will provide you with a clear understanding of why samples are needed, an overview of common sampling techniques, and information around ethical research and minimizing bias.

Paul Silvia

See Numbers in Data

Data Literacy

This course prepares and provides you with the knowledge and skills to read, interpret, and produce tables and graphs, and covers central tendency, spread and dispersion, and scientific notation.
It teaches the fundamentals of numerical data and how to recognize different types of data to make assessments.

John MacInnes

Statistical Significance

Data Literacy

Social scientists often want to know if a finding is statistically significant, discuss the p-values or put confidence intervals around results. This course explains what these terms mean, how they are calculated, and how their origin lies in the way we use samples to measure and investigate people, organizations and societies.

John MacInnes

Unlocking Statistics: From Hypothesis to Outcome

Data Literacy

This beginner course in statistics introduces you to the principles behind the many statistical practices such as sampling, variables, and inference, and shows how these concepts fit into the research design process. It helps to build a mental map to enable you to work your way through statistical tests and procedures.

John MacInnes

Working With Transcribed Data

Data Literacy

This course follows on from the popular course Do Your Interviews, but you can also take it as a stand-alone course. The course provides a clear understanding of the skills needed to manage and transcribe data collected from methods such as interviews, surveys, and focus groups.

Dr. Helen Kara

Write Your Lab Report

Data Literacy

This course will equip you with the skills to write a clear, well-structured lab report. You’ll learn how to effectively use visuals to support data, properly cite sources to avoid plagiarism, and organize your ideas clearly. You’ll also assess your work against established criteria, improve clarity and accuracy through editing and proofreading, and ensure your report meets all formatting and citation requirements. By the end, you will be confident in producing a polished, professional lab report.

Diana Hopkins

Research Question

Research Skills

This course equips you with the skills and knowledge you need to form and articulate a clear and concise research question that’s relevant, interesting and fundamentally researchable.

Dr Zina O'Leary

Conduct a Literature Review

Research Skills

This course guides you through the entire process of preparing a literature review, selecting and analyzing existing literature, and structuring and writing a quality literature review. Most importantly, the course develops skills in using evidence to create and present an engaging and critical argument.

Dr. Robert Thomas

Do Your Interviews

Research Skills

This course guides you through the planning and development of research interviews, from choosing the most suitable interview approach, to writing strong questions and preparing for the interview with participants.

Dr. Helen Kara

Research Proposal

Research Skills

This course gives you an understanding of the different elements and purpose of a research proposal, and suggests strategies for avoiding avoid common pitfalls when preparing your proposal. It also provides a step-by-step plan for crafting a winning proposal, from early preparation through to submission.

Dr Zina O'Leary

Plan Your Project

Research Skills

This course guides you through the planning and development of an academic project. It supports the early preparation for a project and gives direction and advice during every stage, from developing an idea through to the finalization of the project.

Kelly Trivedy

Present Your Research

Research Skills

This course equips you with the confidence, skills and communication strategies to present your research in an impactful and meaningful way.

Zina O'Leary

Research Ethics for Beginners

Research Skills

This course equips you with the skills and knowledge you need to engage with historical and contemporary research ethics and consider procedural research ethics codes. It teaches you to recognize what the expectations for a researcher are regarding research ethics. This will help you reflect on your identity and take steps to develop an aspirational research ethics stance.

Maria Lahman

Research Design in Social Data Science

Data Science Skills

Utilizing big data is becoming increasingly important in social research, but it brings an array of ethical challenges and research design elements to consider. On this course, you’ll gain an understanding of the emerging field of social data science and take your first steps into the big data-driven approach to research, learning from recent examples of social data science publications and projects.

Professor Taha Yasserri

Cleaning Messy Data

Data Science Skills

This course introduces the fundamentals of cleaning messy data. It provides a clear understanding about what messy datasets are and why they need to be cleaned, and gives lots of practical examples for cleaning data sets in different programs.

Dr. Alessandra Vigilante

Gather Your Data Online

Data Science Skills

We go online to communicate, participate in classes and meetings, and find sources in the library. How can we use these tools to collect data for scholarly research? This course gives an overview of types of data and ways to find and generate them online, and encourages evaluation of your own research.

Dr. Janet Salmons

Introduction to R

Data Science Skills

This course introduces you to powerful and flexible tools in the R programming language that are used on a daily basis by social scientists to investigate real-world data sets. You will learn how to explore and manipulate data, using RStudio to perform commonly accepted statistical techniques and present your findings both graphically and numerically. At the end of the course, you will use the skills you have learnt to complete a final data analysis project incorporating data management, data exploration, and data visualization of a multidimensional construct.

Dr Andreea Moldovan

Practical Data Management with R

Data Science Skills

On this course you will learn how to use R to manage data in a wide variety of formats, in a reproducible manner, and at scale.

Matt Denny

Interactive Visualization with R

Data Science Skills

This course introduces you to techniques and tools for presenting data in visually attractive and interactive ways using the R programming language and RStudio. You will learn how to implement a reproducible, repeatable workflow and produce visualizations for various scenarios. At the end of the course, you will create a report that tells a story from data using appropriate interactive visualizations. This course contains a lot of guided activities and there is an expectation that you immerse yourself in the tasks and investigate additional documentation and features of the tools presented.

Charlie Hadley, Professor Richard Traunmüller

Collecting Social Media Data

Data Science Skills

This course will set you up to effectively plan, gather and analyze social media data, equipping you to undertake research projects using social media data.

James Allen-Robertson

Introduction to Python

Data Science Skills

This course is intended to be an introduction to the Python programming language. Through the use of taught material and practical examples, you will build up the skills needed to perform various tasks using Python

Dr Rob Mastrodomenico and Dr. Phillip Brooker

Intermediate Python Skills

Data Science Skills

Gain the skills you need to manipulate and visualize a variety of data types using Python. This course is a continuation of the Introduction to Python course.

Dr Rob Mastrodomenico and Dr. Phillip Brooker

Introduction to Artificial Intelligence

Data Science Skills

This course gives you an understanding of what artificial intelligence is and how it is used and applied in society and research methods. It explores the ethical issues surrounding artificial intelligence, and the uses of machine learning.

Dr. Eleni Papadonikolaki

Introduction to Text Mining

Data Science Skills

In this course you'll learn how to approach the study of language and social interactions in digital environments so you can analyze textual data sets from social media sites, digital archives, and digital surveys and interviews.

Gabe Ignatow and Rada Mihalcea

Fundamentals of Quantitative Text Analysis

Data Science Skills

The course surveys methods for systematically analyzing text using statistical methods and procedures for social scientific purposes, starting with classical content analysis, dictionary-based methods and the introduction scaling methods. The course lays a theoretical foundation for text analysis but also takes a practical and applied approach, so that students learn how to apply these methods in actual research. The common focus across all methods is that they can be reduced to a three-step process: first, identifying text and units for analysis; second, organizing texts into a structured corpus in preparation for analysis; and third, extracting from the texts quantitatively measured features, such as coded content categories, word counts, word types, dictionary counts, or their authors. The course surveys these methods in a logical progression. This course contains a lot of guided activities, and there is an expectation that you immerse yourself in the tasks and investigate additional documentation and features of the tools presented.

Blake Miller and Professor Jonathan Slapin

Introduction to Journal Publishing: Why Publish?

Getting Published

This course teaches an overview of journal publishing, informing you how to take advantage of different publishing opportunities. It provides an insight into the shift to digital publishing and evaluates the different publishing models, and also gives the necessary information for assessing your options when publishing your research.

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Publishing for Impact

Getting Published

This course outlines and explains the necessity to conduct research that demonstrates an impact, and what this impact should look like. It provides you with tips and tools to prepare a funding application that will get noticed! It will also build an understanding of how to write and present an article that has the potential to score a high impact in terms of different metric measurements.

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Choosing a Journal

Getting Published

This course provides guidance to help you make an informed decision when researching different journals to publish in. It gives an insight into what journal editors are looking for, drawing on advice and tips from journal editors and published authors.

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How to Write a Journal Article 1: Putting Your Article Together

Getting Published

This course equips you with the knowledge, skills, and strategies to write and organize a strong journal article, meeting all the requirements of a publisher. It explores working with co-authors, where authors share their experiences and give advice on how to effectively work with a team of authors. It also provides guidance on how to maximize the discoverability of articles through channels such as social media and search engines.

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How to Write a Journal Article 2

Getting Published

This course equips you with the ability to utilize and present supplementary material, including data and third-party content, effectively within your article. It also gives advice on how to transform a thesis or dissertation into a high-quality journal article.

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Submission and Final Touches

Getting Published

This course equips you with all you need to know to finalize your journal article to the highest possible standard, in order to maximize your chances of publication. It also supplies helpful resources and supporting sites which could assist you with your submission.

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Peer Review, Feedback and Decisions

Getting Published

This course provides information on every phase of the peer review process, from submission to final decision, and teaches you how to respond to feedback and revise your article appropriately.

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Article Acceptance to Promotion

Getting Published

This course teaches authors how to effectively promote a paper through different channels, including conferences, events, and multimedia avenues. It outlines the rights and responsibilities before and after publication, so you have a complete understanding of the process and your own responsibilities post article acceptance.

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Critical Reading and Writing

Information Literacy

The reading and writing expectations of higher education are often daunting for students. This course equips you with the skills and knowledge to make the jump to higher education. It teaches reading strategies to help you evaluate and question written and visual texts. It builds confidence in structuring a critical writing piece, spelling out arguments and integrating evidence.

Dr. Eric Addae-Kyeremeh

Critical Thinking

Information Literacy

This course equips you with the skills and habits of critical thinking. It teaches practical techniques for confident, discerning critical engagement with sources, evidence, arguments and reasoning.

Dr Tom Chatfield

Develop Your Search Strategy

Information Literacy

This course provides a clear understanding of the most popular online search strategies, including Boolean Logic. It’ll help you to decide which is the best search strategy to fit your needs, and gives lots of practical examples for carrying out a search using the most common approaches and tools.

Dr. Eric Addae-Kyeremeh

Fact-Checking Sources

Information Literacy

How do you find the right sources for your research, and check that they are accurate? This course will introduce you to why finding appropriate resources is vital to good research, how you can determine if a source is credible, why fact-checking is so important, and provide strategies to help with fact-checking.

Sarah Morris

Using APIs in Research

Information Literacy

This practical course takes you through the process of selecting an appropriate API, using a client to collect data, and preprocessing data ahead of analysis. Knowledge of languages isn’t required, but additional activities are provided if you’re proficient in Python or R.

Dr. Nicola Thomas

The Art of ChatGPT Interactions

Information Literacy

Want to use ChatGPT but need some expert help? This course is designed to help you build the skills and confidence you need to get the most out of generative AI tools such as ChatGPT. Under the guidance of AI expert Leo Lo, you’ll master the art of prompt engineering, deepen your understanding of how ChatGPT works, and learn how a systematic approach can help you get better outcomes.

Leo Lo

Introduction to APIs

Information Literacy

This course provides a comprehensive, non-technical introduction to APIs and includes clear explanations of what they are and how they function. It provides an overview of a wide variety of APIs and encourages you to think about how you can use simple calls to collect research data.

Dr. Nicola Thomas