COURSE

COURSE CATEGORY

META DESCRIPTION

INSTRUCTORS/

AUTHORS

Critical Thinking: An Online Course

Navigating Information and Data Literacy

This six-unit course equips students with the intellectual skills and practical habits of critical thinking.

Dr Tom Chatfield

See Numbers in Data

Navigating Information and Data Literacy

Prepares and provides students with all the knowledge and skills to read, interpret and produce tables and graphs, including tendency, spread and desperation, and scientific notation.

John MacInnes

Know Your Numbers

Navigating Information and Data Literacy

Teaches easy ways to nail basic numbers and gives an understanding as to why this is important.

John MacInnes

Statistical Significance

Navigating Information and Data Literacy

Explains what statistical significance and p-values 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

Introduction to Data Visualisation

Navigating Information and Data Literacy

Master the principles for transforming data into powerful visualisations, with a fresh, creative approach from Andy Kirk.

Andy Kirk

Research Question

Research Skills

Equips researchers with the skills and knowledge they need to form and articulate a clear and concise research question that’s relevant, interesting and fundamentally researchable.

Dr Zina O'Leary

Research Proposal

Research Skills

Gives an understanding of the elements and purpose a research proposal, strategies to avoid pitfalls when preparing your proposal and provides a step by step plan to craft a winning proposal.

Dr Zina O'Leary

Plan Your Project

Research Skills

This course guides learners through the planning and development of a research project. It supports the early preparation of a research project and gives direction and advice during every stage, through to the finalization of the project.

Kelly Trivedy

Gather Your Data Online

Research Skills

Gives an overview of types of data and ways to find and generate them online to use for research.

Dr Janet Salmons

Research Design in Social Data Science

Research Skills

Gain an understanding of the emerging field of social data science as a big data-driven approach to social science research.

Dr Taha Yasserri

Present Your Research

Research Skills

Equips learners with the confidence, skills and communication strategies to present their research in an impactful and meaningful way.

Dr Zina O'Leary

Introduction to R

Data Science Skills

This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step.

Dr Andreaa Moldovan

Practical Data Management with R

Data Science Skills

Learn how to use R to manage data in a wide variety of formats, in a reproducible manner, at scale.

Matthew Denny

Interactive Visualization with R

Data Science Skills

Learn the techniques and tools for presenting data in visually attractive and interactive ways using the R programming language.

Dr Charlie Joey Hadley, Professor Richard Traunmüller

Collecting Social Media Data

Data Science Skills

Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research.

Dr James Allen-Robertson

Introduction to Python

Data Science Skills

Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples.

Dr Rob Mastrodomenico, 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.

Dr Rob Mastrodomenico, Dr. Phillip Brooker

Introduction to Text Mining

Data Science Skills

Gain a conceptual overview of the text mining landscape and a foundational understanding of the analysis of digital textual data sets.

Rada Mihalcea, Gabe Ignatow

Fundamentals of Quantitative Text Analysis

Data Science Skills

Learn how to analyze large amounts of textual data, at scale, using the R programming language.

Professor Jonathan Slapin

Introduction to Journal Publishing: Why Publish?

Getting Published

Teaches an overview of journal publishing, informing researchers how to take advantage of different publishing opportunities.

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Publishing for Impact

Getting Published

Provides researchers with tips and tools to prepare a funding application that will get noticed! Builds an understanding of how to write and present an article to impact both academia and society. 

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Choosing a Journal

Getting Published

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

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How to Write a Journal Article 1

Getting Published

Putting your article together - Equips researchers with the knowledge, skills, and strategies to write and organize a strong journal article, meeting all the requirements of a publisher.

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How to Write a Journal Article 2

Getting Published

Supplemental and third-party material - This course will equip learners with the ability to utilize and present supplementary material, including data and third party content, effectively within their article.

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Submission and Final Touches

Getting Published

This course will supply all the information for learners to finalize their journal article to the highest possible standard in order to maximize chances of publication, suggesting resources and support sites to assist with submission.

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Peer Review, Feedback and Decisions

Getting Published

This course will provide information for every phase of the publishing review process; from submission to feedback, and teaches learners how to respond to feedback and revise their article appropriately.

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Article Acceptance to Promotion

Getting Published

Teaches authors how to effectively promote their paper through different channels, including conferences and events as well as multimedia avenues.

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