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All courses
All courses
Our online courses cover tricky skills and research methods across all stages of academic study. Browse the courses by their categories below or view our handy learner pathways that guide learners where to start.
This six-unit course equips students with the intellectual skills and practical habits of critical thinking.
Equips students with the skills and knowledge to make the jump to higher education. It teaches reading strategies to evaluate written and visual texts and builds confidence in structuring a critical writing piece.
Teaches easy ways to nail basic numbers and gives an understanding as to why this is important.
Prepares and provides students with all the knowledge and skills to read, interpret and produce tables and graphs, including tendency, spread and dispersion, and scientific notation.
Introduces learners to the principles behind the many statistical practices, including sampling, variables and inference and showing how these concepts fit into the research design process.
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.
Master the principles for transforming data into powerful visualizations, with a fresh, creative approach from Andy Kirk.
Provides a clear understanding of the skills needed to manage and sort transcribed data collected from interviews, surveys, and focus groups.
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.
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.
This course guides learners through the planning and development of an academic project. It supports the early preparation of the project and gives direction and advice during every stage to finalise the academic project.
Practical, hands-on course that guides you through planning and developing research interviews, from selecting a suitable interview approach to preparing participants.
Gain an understanding of the emerging field of social data science as a big data-driven approach to social science research.
Guides you through the entire process of preparing a literature review, from selecting and analyzing existing literature to structuring and writing your review.
Gives an overview of types of data and ways to find and generate them online to use for research.
Equips learners with the confidence, skills and communication strategies to present their research in an impactful and meaningful way.
Equips learners with an understanding of the different types of data management, providing tools and knowledge to manage data effectively and ethically, covering the strategies for organizing research data.
Develops skills to understand and evaluate qualitative data, with the appropriate approach to coding and techniques to categorize and pull themes from data at every stage of analysis.
Provides a clear understanding of the most popular online search strategies. It will help learners to decide which is the best fit for them, as well as giving lots of practical examples for carrying out a search using the most common approaches and tools.
This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step.
Learn how to use R to manage data in a wide variety of formats, in a reproducible manner, at scale.
Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples.
Gain the skills you need to manipulate and visualize a variety of data types using Python.
Learn the techniques and tools for presenting data in visually attractive and interactive ways using the R programming language.
Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research.
Gain a conceptual overview of the text mining landscape and a foundational understanding of the analysis of digital textual data sets.
Learn how to analyze large amounts of textual data, at scale, using the R programming language.
Gives learners a full understanding of what artificial intelligence is and how it is used and applied in society and research methods, covering important ethical considerations and challenges.
Learn the fundamentals of cleaning messy data. This course will provide a clear understanding about what messy data sets are and why they need to be cleaned, as well as giving lots of practical examples for cleaning data sets.
Teaches an overview of journal publishing, informing researchers how to take advantage of different publishing opportunities.
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.
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.
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.
Supplemental and third-party material
This course will equip learners with the ability to utilize and present supplemental material, including data and third party content, effectively within their article.
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.
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.
Teaches authors how to effectively promote their paper through different channels, including conferences and events as well as multimedia avenues.