Critical Thinking
This six-unit course equips students with the intellectual skills and practical habits of critical thinking.
Critical Reading and Writing
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.
Know Your Numbers
Teaches easy ways to nail basic numbers and gives an understanding as to why this is important.
See Numbers in Data
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.
Unlocking Statistics: From Hypothesis to Outcome
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.
Statistical Significance
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.
Introduction to Data Visualization
Master the principles for transforming data into powerful visualizations, with a fresh, creative approach from Andy Kirk.
Introduction to R
This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step.
Practical Data Management with R
Learn how to use R to manage data in a wide variety of formats, in a reproducible manner, at scale.
Introduction to Python
Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples.
Intermediate Python Skills
Gain the skills you need to manipulate and visualize a variety of data types using Python.
Interactive Visualization with R
Learn the techniques and tools for presenting data in visually attractive and interactive ways using the R programming language.
Collecting Social Media Data
Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research.
Introduction to Text Mining
Gain a conceptual overview of the text mining landscape and a foundational understanding of the analysis of digital textual data sets.
Fundamentals of Quantitative Text Analysis
Learn how to analyze large amounts of textual data, at scale, using the R programming language.
Introduction to Artificial Intelligence
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.
Research Question
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.
Research Proposal
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.
Plan Your Project
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.
Do Your Interviews
Practical, hands-on course that guides you through planning and developing research interviews, from selecting a suitable interview approach to preparing participants.
Research Design in Social Data Science
Gain an understanding of the emerging field of social data science as a big data-driven approach to social science research.
Conduct a Literature Review
Guides you through the entire process of preparing a literature review, from selecting and analyzing existing literature to structuring and writing your review.
Gather Your Data Online
Gives an overview of types of data and ways to find and generate them online to use for research.
Present Your Research
Equips learners with the confidence, skills and communication strategies to present their research in an impactful and meaningful way.
Introduction to Data Management
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.
Analyze Qualitative 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.
Introduction to Journal Publishing
Teaches an overview of journal publishing, informing researchers how to take advantage of different publishing opportunities.
Publishing for Impact
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.
Choosing a Journal
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.
How to Write a Journal Article 1
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.
How to Write a Journal Article 2
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.
Submission and Final Touches
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.
Peer Review, Feedback and Decisions
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.
Article Acceptance to Promotion
Teaches authors how to effectively promote their paper through different channels, including conferences and events as well as multimedia avenues.
Cleaning Messy Data
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.
Working With Transcribed Data
Provides a clear understanding of the skills needed to manage and sort transcribed data collected from interviews, surveys, and focus groups.
Develop Your Search Strategy
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.
