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    <loc>https://campus.sagepub.com/instructorssdsds</loc>
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    <lastmod>2026-01-07</lastmod>
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      <image:title>Instructor Bios</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1500390483486-Z6HGZZ0T8DK3A91SRSQ1/Chris-Hench.jpg</image:loc>
      <image:title>Instructor Bios - Dr. Christopher Hench</image:title>
      <image:caption>Christopher is the Program Development Lead for the D-Lab and Digital Humanities at the University of California, Berkeley. He teaches Python, Bash, and Git workshops and consults on text analysis and web scraping. He is a PhD Candidate in German Literature and Medieval Studies at UC Berkeley and a Data Science Fellow at the Berkeley Institute for Data Science (BIDS). Christopher is interested in computational approaches to formal analyses of lyric and epic poetry. His research has been supported by the Fulbright Program and the DAAD.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1525955918385-R3VQU9R9KBXVN8W24RQG/Geoff-Bacon.jpg</image:loc>
      <image:title>Instructor Bios - Geoff Bacon</image:title>
      <image:caption>Geoff Bacon is a PhD student in the Language and Cognition Lab and Graduate Student Researchers at D-Lab at UC Berkeley. His research focuses on two questions: why languages look the way they do and how people learn to express temporal semantics. To study these, Geoff uses probabilistic models of language, including Bayesian and neural network models, which he programs in Python. At undergrad Geoff studied linguistics, classics and Arabic.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1502873129843-DVDPEDF8QTECRQWL6J7G/Martin-John-Hadley.jpg</image:loc>
      <image:title>Instructor Bios - Dr Charlie Joey Hadley</image:title>
      <image:caption>Dr Charlie Hadley is currently a Research Technology Specialist at the University of Oxford specializing in data visualization. Their background is in biophysics and statistical computing, completing their MPhys at University of Leeds. At University of Oxford, Charlie is helping to launch a data visualization service for researchers and is experienced in teaching data science skills to social scientists.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1500390481583-HDFR2T3CDQE5TWZ3SLYM/Rob-Mastrodomenico.jpg</image:loc>
      <image:title>Instructor Bios - Dr. Rob Mastrodomenico</image:title>
      <image:caption>Dr. Rob Mastrodomenico obtained a BSc in Mathematics and Statistics and PhD in Statistics at the University of Reading. He has spent his career working as a data scientist in the sports sector, building predictive models for sporting events. In 2011 he set up Global Sports Statistics which provides consultancy and modelling services to clients in the sports sector. Aside from statistics, Rob’s other interest is in programming. He has years of experience in many different languages but has become an advocate for Python and all that it can do to support all aspects of dealing with and modelling data.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1500390477395-2JSVDPK42N5NG359KAAF/Philip-Brooker.jpg</image:loc>
      <image:title>Instructor Bios - Dr. Phillip Brooker</image:title>
      <image:caption>Dr Phillip Brooker is an interdisciplinary researcher in the field of social media analytics, with a background in sociology and sociological research methods (incorporating ethnomethodology, conversation analysis, science and technology studies, computer-supported cooperative work, and human-computer interaction). He has previously contributed to the development of Chorus (www.chorusanalytics.co.uk), a data collection and visual analysis package for social science research on Twitter. Phillip also co-convenes the Programming-as-Social-Science (PaSS) network (www.jiscmail.ac.uk/PaSS) which explores computer programming as a subject and methodological tool for social research and teaching. Phillip is currently employed as a Research Associate on CuRAtOR (Challenging Online Fear and Othering), which aims to investigate how online interactions result in 'cultures of fear'.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1500390475422-3AA97OLXAFBUEVA7BRFF/David-Harding.jpg</image:loc>
      <image:title>Instructor Bios - Professor David Harding</image:title>
      <image:caption>Professor David Harding is Interim Faculty Director of the D-Lab. He studies poverty and inequality, urban neighborhoods, education, incarceration, and prisoner reentry. He uses both qualitative and quantitative methods. He is the author of ''Living the Drama: Community, Conflict, and Culture Among Inner-City Boys'' (University of Chicago Press, 2005) and co-author of ''Rampage: The Social Roots of School Shootings'' (Basic Books, 2004).</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1504105470842-1U6J9OLATL6NG166942W/Matthew-Denny.jpg</image:loc>
      <image:title>Instructor Bios - Matthew Denny</image:title>
      <image:caption>Matt Denny is a PhD Candidate in Political Science and Social Data Analytics, and an NSF Big Data Social Science IGERT Fellow at Penn State University. Matt spends most of his time developing methods for analysing text and network data, which he applies to a wide range of projects related to: U.S. congressional and bureaucratic politics, organizational dynamics, international finance, and more recently, neuroscience. As part of his research, Matt works with a variety of large and complex datasets on a daily basis. Matt has also taught dozens of workshops on data management, high performance computing and “big data” analytics in R. To learn more about Matt Denny, check out his website: www.mjdenny.com</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1504603311574-LQQ7M4I4QXUOC18PVFOB/Jonathan-Slapin.jpg</image:loc>
      <image:title>Instructor Bios - Professor Jonathan Slapin</image:title>
      <image:caption>Jonathan Slapin is Professor in the Department of Government at the University of Essex and Director of the Essex Summer School in Social Science Data Analysis. He joined Essex in 2015, having previously held faculty positions at the University of Houston, Trinity College, Dublin and the University of Nevada, Las Vegas. He holds a PhD from the University of California, Los Angeles and a BA from Rutgers University. His main research and teaching interests are in quantitative comparative politics, political institutions, and quantitative text analysis. His research frequently employs formal theory and quantitative methods to explore legislative behaviour, political parties, and democratic representation. His most recent book, co-authored with Sven-Oliver Proksch, is entitled “The Politics of Parliamentary Debate: Parties, Rebels and Representation” and is published by Cambridge University Press. Other research has appeared in leading political science journals such as the American Journal of Political Science, and the British Journal of Political Science.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1502872930610-9ZHYJEZDIQENGY0AP6HV/Professor-Richard-Traunmuller.jpg</image:loc>
      <image:title>Instructor Bios - Professor Richard Traunmüller</image:title>
      <image:caption>Richard Traunmüller is currently a visiting Professor of Quantitative Methods at the University of Mannheim and on leave from his Junior Professorship in Empirical Democracy Research at Goethe University Frankfurt. Prior to coming to Frankfurt, he has held positions at the Universities of Konstanz, Berne, Mannheim, and Essex. Richard has taught semester long courses on data visualization at these universities and has been invited to teach statistical visualization at the German Institute of Global and Area Studies (GIGA) and the European University Institute (EUI) in Florence. In addition, he is a regular instructor for data visualization at the Essex Summer School in Social Science Data Analysis. His work has appeared in major social science journals such as Comparative Political Studies, European Journal of Political Research, and Political Analysis, amongst others.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1522839803098-A8GGKJ178SWFPZBBWE5B/AndyKirk-ProfilePic4.jpg</image:loc>
      <image:title>Instructor Bios - Andy Kirk</image:title>
      <image:caption>Andy Kirk is a UK-based data visualisation specialist: A design consultant, training provider, lecturer, author, speaker, researcher, and editor of an award-winning website. Since founding Visualising Data Ltd in 2011, he has delivered over 230 public and private training workshop events in 19 countries. Recent clients include Spotify, Telefónica, Tesco, Hershey, and CERN. Andy is a visiting lecturer teaching data visualisation on a Master's degree programme at Imperial College London and is the author of two books, with the most recent work published in 2016 by Sage and titled 'Visualising Data: A Handbook for Data Driven Design'. He also provides data visualisation services to the Arsenal F.C. performance team.</image:caption>
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      <image:title>Instructor Bios - Dr Andreea Moldovan</image:title>
      <image:caption>Dr Andreea Moldovan is a Data Scientist in the financial services sector. She was previously a Research Fellow at Exeter University. She has a background in sociology, social research methods, and survey methodology. Her main interests are latent variable modelling, longitudinal data analysis, and machine learning techniques that overcome assumptions of traditional regression methods. Andreea has run R demonstrations for teams based in a large charity and is very passionate about encouraging other social scientists to discover the wonderful world of R.</image:caption>
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      <image:title>Instructor Bios - Rada Mihalcea</image:title>
      <image:caption>Rada Mihalcea is a Professor in the Computer Science and Engineering department at the University of Michigan. Her research interests are in computational linguistics, with a focus on lexical semantics, multilingual natural language processing, and computational social sciences. She serves or has served on the editorial boards of the Journals of Computational Linguistics, Language Resources and Evaluations, Natural Language Engineering, Research in Language in Computation, IEEE Transactions on Affective Computing, and Transactions of the Association for Computational Linguistics.</image:caption>
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      <image:title>Instructor Bios - Gabe Ignatow</image:title>
      <image:caption>Gabe Ignatow is a Professor in the Department of Sociology at the University of North Texas. His research interests are in sociological theory, digital research methods, cognitive social science and philosophy of social science. He currently serves on the editorial boards of Sociological Forum and the Journal for the Theory of Social Behavior. Along with the two recent books on text mining co-authored with Rada Mihalcea, Gabe has co-authored a forthcoming volume on digital social research methods and co-edited the Oxford Handbook of Cognitive Sociology. He is currently working on a book project on sociological theory in the digital age while serving as his department's graduate program director.</image:caption>
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      <image:title>Instructor Bios - Dr Taha Yasseri</image:title>
      <image:caption>Dr Taha Yasseri is Associate Professor of Sociology at University College Dublin and former Senior Research Fellow in Computational Social Science at University of Oxford and Turing Fellow at the Alan Turing Institute for Data Science and AI. Dr Yasseri graduated from the Department of Physics at the Sharif University of Technology, Tehran, Iran, in 2005, where he also obtained his MSc in 2006, working on localization in scale free complex networks. In 2007, he moved to the Institute of Theoretical Physics at the University of Göttingen, Germany, where he completed his PhD in Complex Systems Physics in 2010. Prior to coming to Oxford, he spent two years as a Postdoctoral Researcher at the Budapest University of Technology and Economics.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1561992488023-S59RC9GZS8NZCZVUQURQ/James+Allen+Robertson.jpg</image:loc>
      <image:title>Instructor Bios - Dr James Allen-Robertson</image:title>
      <image:caption>Dr James is a Computational Social Scientist in the Department of Sociology, University of Essex. His work focuses on utilizing data science tools, including large-scale text analysis, social network analysis and computer-vision as aids to explore social science problems. James is also the director of the BSc Sociology with Data Science at the University of Essex and author of Digital Culture Industry: A History of Digital Distribution (2013). James believes that technology needs more social science, and vice-versa.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1564485108734-RRUQ0BBVI73EEREEJDJH/tom.jpg</image:loc>
      <image:title>Instructor Bios - Dr. Tom Chatfield</image:title>
      <image:caption>Dr. Tom Chatfield is an author, tech philosopher and broadcaster. His books explore the skills required to thrive in a digital age, including Critical Thinking (SAGE) and Live This Book! (Penguin). Tom is interested in improving our understanding of digital technology and its uses in policy, education, and engagement. He is currently technology and media advisor at Agathos LLP, non-executive director at the Authors’ Licensing and Collecting Society, a faculty member at London’s School of Life, a Master’s committee member at the Economics Research Council, and a senior expert at the Global Governance Institute. Tom speaks and broadcasts around the world on technology, the arts, and media. Appearances include TED Global, authors@Google, Science Foo Camp and the Houses of Parliament. He also guest lectures at universities in the UK and Europe.</image:caption>
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      <image:title>Instructor Bios - Dr Janet Salmons</image:title>
      <image:caption>Dr. Janet Salmons is a free-range scholar, writer, coach, and artist through Vision2Lead. She serves as the Methods Guru for Sage Publications’ research community, www.MethodSpace.com. She is an honorary member of the TAA Council of Fellows (2019) and received the Mike Keedy Award (2018) in recognition of enduring service to authors.</image:caption>
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      <image:title>Instructor Bios - John MacInnes</image:title>
      <image:caption>John MacInnes is emeritus professor of Sociology and Statistics at the University of Edinburgh, a Fellow of the Academy of Social Sciences and a Chartered Statistician. He was Vice President of the Royal Statistical Society (2019-2020), Strategic Advisor to the ESRC and British Academy on quantitative skills development, and helped develop the UK Q-Step programme. His substantive research interests have ranged from social demography to gender studies, nationalism and employment relations, confirming John Tukey’s claim that statisticians get to play in everyone’s backyard.</image:caption>
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      <image:title>Instructor Bios - Dr Zina O'Leary</image:title>
      <image:caption>Dr Zina O’Leary is an internationally-recognized leader in research methodologies, and has a keen interest in the application of research to evidence-based decision-making. Zina is a Senior Fellow at the Australia and New Zealand School of Government and an adjunct Professor at the Joseph R. Biden School of Public Policy at the University of Delaware.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1601036908068-R1KSA0JGWPV1PZK2H4CL/Nicola+Thomas.jpg</image:loc>
      <image:title>Instructor Bios - Nicola Thomas</image:title>
      <image:caption>Dr Nicola Thomas is an Associate Professor in Marketing at De Montfort University, Leicester UK. Nicola teaches several research-oriented modules, including dissertations and research projects, at both undergraduate and postgraduate levels. She enjoys teaching and researching using different research methods, both quantitative and qualitative in approach. In more recent years, Nicola has become particularly excited about the potential of working with a variety of social media data and the rich insights this type of data can bring.</image:caption>
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      <image:title>Instructor Bios - Kelly Trivedy</image:title>
      <image:caption>Kelly Trivedy holds a multi-faceted career in education ranging across multiple course specialisms. She is an independent Academic Consultant, Tutor and Coach with Advance HE Senior Fellow status specialising in Higher Education with a key focus on reflective practice, critical thinking and research projects. Upon completion of the Post-Graduate Diploma in Education (PGDE), Kelly worked as an Academic Skills Coach and Lecturer for Law. She has worked in various Higher Education and Further Education settings. Kelly’s expertise in Academic Practice and Educational Development is something she offers as part of her consultancy packages. Her research interests stem from her work on her MA in Education on critical thinking. She is a firm advocate for reflection and research project planning with further interests in ethics in education and researcher positionality. Alongside her education practice, Kelly is a Doctoral Researcher. She is also a professional photographer and a painting and drawing enthusiast.</image:caption>
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      <image:title>Instructor Bios - Dr Robert Thomas</image:title>
      <image:caption>Dr. Thomas is currently a Lecturer (Marketing) at Aston Business School. Dr. Thomas’s primary research interests and publications encompass Brand Management, specifically the areas associated with sponsorship, fandom, co-creation, and brand community. His work has been published the European Journal of Marketing, Computers in Human Behavior, Journal of Marketing Management, Journal of Product and Brand Management, Young Consumers, Strategic Change: Briefings in Entrepreneurial Finance, and IEEE Transactions on Engineering Management. Dr. Thomas sits on the editorial boards for Journal of Product and Brand Management and International Journal of Sport Management and Marketing, winning reviewer of the year for Journal of Product and Brand Management in 2015.</image:caption>
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      <image:title>Instructor Bios - Dr Helen Kara</image:title>
      <image:caption>Dr Helen Kara FAcSS has been an independent researcher since 1999 and an independent scholar since 2011. She writes about research methods and research ethics, and teaches doctoral students and staff at higher education institutions worldwide. Her books include Qualitative Research for Quantitative Researchers and four books in the Sage Little Quick Fix series. Helen also writes comics and fiction. In 2021, at the age of 56, she was diagnosed autistic. Her neurodiversity explains her lifelong special interest in, and ability to focus on, words, language, and writing.</image:caption>
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      <image:title>Instructor Bios - Dr Eric Addae-Kyeremeh</image:title>
      <image:caption>Dr Eric Addae-Kyeremeh is the Head of School in the School of Education, Childhood, Youth and Sport at Open University. Eric has over 20 years of professional experience that involves teaching, research, scholarship of teaching and learning, knowledge exchange, consultancy and public engagement. He was admitted into Fellowship by BCS, The Chartered Institute for IT in 2012 for demonstrating leadership, eminence and authority in the area of educational technologies. In recognition of his expertise, significant impact and contribution to leadership and management in education and training, he was awarded Chartered Fellowship by the Chartered Management Institute (CMI) in the same year. Prior to joining the Open University in 2011, Eric worked in the Further Education (FE) sector in England from 2000-2010, firstly as a lecturer in Computing and ICT and then in a range of leadership and management positions. During his career in FE, he led and managed a number of subject areas, including Science and Mathematics; Information and Communication Technology; and Business, Administration and Law.</image:caption>
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      <image:title>Instructor Bios - Dr. Eleni Papadonikolaki</image:title>
      <image:caption>Dr. Eleni Papadonikolaki is a Management Consultant and Associate Professor in Digital Innovation and Management at the Bartlett School of Sustainable Construction (BSSC) at University College London (UCL). Eleni is teaching at postgraduate and executive levels and leads the newly-launched MSc in Digital Engineering Management (DEM) and is a Senior Fellow of the Higher Education Academy (SFHEA). Her research interests lie at the intersection of management, projects, social science, and digital economy. Prior to joining academia, Eleni worked as an architect-engineer and design manager on a number of complex, international and varying-scale projects in Greece, the Netherlands, Oman and the United Arab Emirates. She is an alumna of TU Delft, Netherlands and NTUA, Greece.</image:caption>
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      <image:title>Instructor Bios - Dr. Alessandra Vigilante</image:title>
      <image:caption>Dr. Alessandra Vigilante is a Senior Lecturer in Bioinformatics at the Center for Stem Cells and Regenerative Medicine with a focus on genotype-phenotype interactions and data integration. Alessandra obtained her PhD in Bioinformatics in Naples (2008-2011) before moving to the UK to join the Nicholas Luscombe group first at the EMBL-European Bioinformatics Institute as a visiting student (2011-2012) and then as a postdoctoral fellow at UCL (2012-2017). Alessandra Vigilante’s group has significant expertise and experience in the analysis and integration of large scale genomic, epigenomic and transcriptomic data (i.e. single-cell RNA-seq and ATAC-seq datasets, ChIP-seq etc…), and in the implementation of novel computational methods for various bespoke analyses to gain biological insights.She is actively involved in a great network of collaborations to develop multidisciplinary approaches to research efforts, working with faculty members within King’s and other research institutes.</image:caption>
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      <image:title>Instructor Bios - Professor Roger Watt</image:title>
      <image:caption>Roger Watt was a Professor of Psychology at the University of Stirling for 32 years and is now Emeritus Professor there. He has done research and taught in many areas of psychology, and focussed in the second half of his career on teaching research methods. Before moving to Stirling he was a Scientist with the Medical Research Council in Cambridge. In 1995 he was elected a Fellow of the Royal Society of Edinburgh for his scientific research and leadership in Psychology. In teaching Statistics at Stirling to psychology students, he introduced a number of innovations, including novel methods of delivery some of which contributed to Stirling being attracting the inaugural BPS Award for Innovation in Psychology Programmes in 2014. He has a long-standing involvement in the impact of his discipline and research. He was appointed as an expert witness for the Cullen Inquiry and was personally credited with establishing the most likely cause of the Ladbroke Grove train disaster. During his time at Stirling, he was twice the Head of Department in Psychology and was also Dean of Human Sciences for 4 years. He is the proudest grandfather on the planet and is also an amateur trumpet player, baker and gardener.</image:caption>
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      <image:title>Instructor Bios - Maria K. E. Lahman</image:title>
      <image:caption>Maria K. E. Lahman, is a professor of qualitative methodology at the University of Northern Colorado, in Colorado, USA. She is the author of the Sage textbooks Ethics in Social Science Research: Becoming Culturally Responsive and Writing and Representing Qualitative Research. Maria challenges herself to weave aspects of social justice and peacebuilding into her pedagogy and scholarship. Maria's scholarship is focused on creating ethical solutions for culturally complex methodological situations, diversity, young children, mothering, and qualitative writing representation.</image:caption>
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      <image:title>Instructor Bios - Sarah Morris</image:title>
      <image:caption>Sarah is a librarian, educator, and curriculum designer whose work focuses on critical information and media literacy, misinformation, civic engagement, student success, and library and information science education. She has held positions at Loyola University Chicago, the University of Texas, and served as the Head of Instruction and Engagement at the Emory University Libraries. Sarah has worked on curriculum projects with partners that include the Mozilla Foundation and the Carter Center. She currently works as an instructional designer and consultant and is pursuing her PhD in Communication and Information Sciences from the University of Alabama. </image:caption>
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      <image:title>Instructor Bios - Paul Silvia</image:title>
      <image:caption>Paul is the Lucy Spinks Keker Excellence Professor in the Department of Psychology at the University of North Carolina at Greensboro, USA, where he teaches graduate-level statistics and research methods. His research explores the psychology of creativity and the arts, such as how people come up with good ideas and what makes art interesting and appealing. He has written many books, including Exploring the Psychology of Interest and How to Write A Lot.</image:caption>
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  <url>
    <loc>https://campus.sagepub.com/partners</loc>
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    <loc>https://campus.sagepub.com/testimonials-1</loc>
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    <lastmod>2022-02-18</lastmod>
    <image:image>
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      <image:title>Testimonials</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1605555647717-D79P1O4G0109LU1O3MS5/Campus_Critical+Thinking.jpg</image:loc>
      <image:title>Testimonials - Shahabanu Eva - PhD student at The Education University of Hong Kong</image:title>
      <image:caption>“At first, I thought I would not learn much from this course, as I have already published several articles. But after completing the course, I realized that there are many things that we do not know, e.g., how to distinguish truth and rhetoric, think critically by questioning and get rid of cognitive bias. Thanks, Sage Campus and Dr. Tom Chatfield”.</image:caption>
    </image:image>
    <image:image>
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      <image:title>Testimonials - Dr. Jimmy Emmanuel Ramos Valencia -  Autonomous University of Baja California</image:title>
      <image:caption>“Every moment that passes it is important that researchers in the social sciences and humanities coordinate our knowledge with that of the engineers in systems that feed the data lakes every day; Learning to use these tools is useful for designing projects in which it is feasible to save time; divide tasks but above all, provide relevant results for the understanding of contemporary problems.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626259696150-I1YS66N343DKUJJBQ0ZI/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Shaun Connolly - MSc. Strategic Management at Dublin City University​</image:title>
      <image:caption>“Great learnings from the platform in a concise, effective, online channel - I would recommend to anyone of any level.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626260361418-DK8JMICFQDE6P5ZTOBLS/Campus_Introduction+to+R.jpg</image:loc>
      <image:title>Testimonials - Elaine Alves - Business Science PhD student at Estacio de Sa University</image:title>
      <image:caption>“An easy, fast, assertive course on how to publish a paper.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626260574756-T533QUSSZ9SH4DU6DOJB/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Renata Bottura - Master student at  UNISA, Brazil</image:title>
      <image:caption>“You can learn a lot by using the platform, and really improve your writing skills!”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626260519142-N5CEAAUFG3CXDBYMA0ZW/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Chongo Tawen - BSc. Animal Science</image:title>
      <image:caption>“I'm happy for granting me this opportunity to study with SAGE and acquire knowledge. SAGE is the best.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339479034-Z39SY5Z8YCEMJFMDXCGK/product%2Bthumbnail-32-to-9.jpg</image:loc>
      <image:title>Testimonials - Daniel Edmondson - PhD Applied Linguistics candidate at the University of Nottingham</image:title>
      <image:caption>“I’m two lessons into the second module of Introduction to Python and I’m already wishing I learned this months ago. Honestly, if you work with data, beg your institutions for access to this course.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626259811499-YH5ZFYQPKS0GEG0PCNG7/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Austin Trantham - Assistant Professor of Political Science at Jacksonville University</image:title>
      <image:caption>“I found the Collecting Social Media Data online course to be extremely worthwhile for completing an ongoing research project. The course modules were interactive, engaging, and easy to navigate. I highly recommend this course to anyone looking to conduct research using social media platforms.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339105373-YYGWBYGV49OEUKYOJWDS/Introduction-to-R.jpg</image:loc>
      <image:title>Testimonials - Jason Jackson - Director of the Jackson Research Institute</image:title>
      <image:caption>“The Introduction to R course was immediately useful to learn how R can speed up data collection, cleaning, analysis, and visualization with graphs and other plots. I immediately see utility in creating publication quality tables for journal article manuscripts and also for conference presentations. R helps build good research habits! Do not be intimidated to take a data science course, such as this. Get started. You will quickly see you made the correct choice, and will be able to leverage these new skills in many new adventures and professional efforts! ”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626343108536-GZDMYRLFH9C90U4MS5NU/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Alena Connolly - Research Fellow, University of Leeds</image:title>
      <image:caption>“The course was really useful as important aspects of dealing and analyzing data were introduced. The material was clearly presented. There was code available for each exercise, which saved me a lot of time (I did not have to email an instructor every time something was not working).. Customer service was superb! I will do courses with SAGE again.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339337200-OR0GTWGFXL4459IP0OI9/intro-to-python.jpg</image:loc>
      <image:title>Testimonials - Dr. John McLevey - Associate Professor at the University of Waterloo, Canada</image:title>
      <image:caption>“I must say the course exceeded my expectations… I thought it was extremely well done in all regards, including the design and presentation of the interactive materials. First class!”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339314320-8YN8341MGDZMBMZXLY07/intro-to-python.jpg</image:loc>
      <image:title>Testimonials - Luca Pareschi - Adjunct Professor at Università di Bologna</image:title>
      <image:caption>“I took Introduction to Python beacuse I work with texts. I had a minimum previous experience with programming, but no experience with Python at all. I really found the course manageable for a beginner, while at the same time very useful, and I'm sure I'll use in my research the skills I have acquired.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626343370467-8TIZIH38Z1M5YS1FVJS2/Campus.png</image:loc>
      <image:title>Testimonials - Mark Dobeck - Professor at Cleveland State University</image:title>
      <image:caption>“The courses are delivered by highly qualified and competent instructors. They’re well-organized and offer considerable value to students. I recommend SAGE Campus to students, academics, and working professionals.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339286065-YB05DVQQVPCF2P8K5HVG/intro-to-python.jpg</image:loc>
      <image:title>Testimonials - Nola Jenkins - Tufts University</image:title>
      <image:caption>“I took Intro to Python because I am interested in a career in social sciences. The instructor was really good at explaining concepts and I found this course more helpful than some others I had tried in the past.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626344751816-ADCOJ20KFHAP841724CK/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Dr. Juliana Elisa Raffaghelli - Researcher at the Open University of Catalonia (UOC)</image:title>
      <image:caption>“I enjoyed the course videos and resources, which were simple and knowledgeable, in spite of my very basic experience in R and text mining.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339264578-07BNKH8M5TXGYRV90OEK/Practical-Data-Management-with-R-FINAL.jpg</image:loc>
      <image:title>Testimonials - Ariel Quinio - Ontario Institute for Studies in Education at the University of Toronto</image:title>
      <image:caption>“The instructor did an excellent job; he was detail-oriented, and employed a variety of teaching modalities including repetition to emphasize important aspects of the lesson, and illustration using examples to apply relevant concepts or procedures to follow. He was able to inspire, motivate and encourage students to go beyond what this course has to offer.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1511191921105-13K3I157TTKID6LTK2AG/Practical-Data-Management-with-R-FINAL.jpg</image:loc>
      <image:title>Testimonials - Practical Data Management with R learner</image:title>
      <image:caption>“I wish I had taken this course years ago when I started learning R. I'm much more confident now and I'm not even halfway through the course. Thank You!”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339236820-M0RAPVI6KM9HIBK4BZEM/Coloured-Balls.jpg</image:loc>
      <image:title>Testimonials - Gabby Resch - Doctoral researcher at the University of Toronto</image:title>
      <image:caption>“The course was a thorough, structured, and well-planned-out introduction to visualizing data in the R ecosystem. Charlie, the course instructor, developed appropriate examples that spanned a range of social science data visualization context. Their detailed explanations of various components in the R ecosystem would be helpful for beginners and novices alike.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339105373-YYGWBYGV49OEUKYOJWDS/Introduction-to-R.jpg</image:loc>
      <image:title>Testimonials - Matthew Andrews - Director of Academic Affairs at the International School of Management</image:title>
      <image:caption>“As an academic who needs to be up to date with research methods and data analysis, I wanted to better understand the freely available software R. I don't have a coding background so the course was challenging. Thanks to the individualized assistance I received, I persisted and learned a great deal, and there were numerous practical exercises to consolidate the knowledge along the way.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339059913-Y9XRNTRPSL5GLR114W1D/intro-to-python.jpg</image:loc>
      <image:title>Testimonials - Kathrin Schulze - Research Assistant at Ruhr-Universität Bochum</image:title>
      <image:caption>“I mainly took the course in order to get an initial overview on Python as a starting point for further skills and application of it for my research. I really liked the course structure due to its interactive design and different forms of tasks. In particular, the programming exercises where great practice and helped me a lot to internalize the acquired skills. Finally, the instructor spoke in an adequate speed so that one was able to try out some things in Python during his "lecture"-part. .”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339028551-DM5ZO1AMYK3GTF46BD6J/Campus.png</image:loc>
      <image:title>Testimonials - Moran Stern - PhD candidate at University of Maryland, College Park</image:title>
      <image:caption>“I took Introduction to R because I knew simply nothing about R. The course was absolutely fantastic, well structured, friendly, and not overwhelming at all. I’ve gained a lot of confidence to use R and apply it in my own research. When needed, SAGE's support team were very helpful with explanations and clarification. Looking forward to the next course with SAGE.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626347121236-3EK5H5BN3SEXMF72ITV1/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Daniel Edmondson - PhD Applied Linguistics candidate at the University of Nottingham</image:title>
      <image:caption>“I really liked how this course clearly built on what had been learned on the Introduction to Python course, and I could frequently see how what I was learning could be applied to my own research. Quite often, I felt genuinely delighted when I learned about a new method in Python that would so obviously make my own data analysis and manipulation much easier!”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626338978769-K9IW9ZKG7W70XACZQUJM/Campus.png</image:loc>
      <image:title>Testimonials - Vincenc Fernandez - Professor at the Polytechnic University of Catalonia</image:title>
      <image:caption>“I took Introduction to Text Mining to learn which tools I could use to run text mining analysis. After the course, I have understood how this method works and how I can use it in my field. The structure and the material of the course are excellent. The course is perfect for everyone who wants to learn about text mining.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626339534376-ZZF0AGGEPZZ2MH1LL2F2/QTA.PNG</image:loc>
      <image:title>Testimonials - Hoi Yu Ng - Lecturer at the Education University of Hong Kong</image:title>
      <image:caption>“If you are new to quantitative text analysis and you want to learn the R package ‘quanteda’, this is the course that you should take.“</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626338911809-FYAXM83S9MJOMHXLJYUO/intro-to-python.jpg</image:loc>
      <image:title>Testimonials - Chloe Hsu - Student at the University of Bath</image:title>
      <image:caption>“I took Introduction to Python as I wanted to improve my data analysis skill aside from using SPSS. Overall, the content and structure were easy to follow as a complete beginner. I particularly like the quizzes and guided activities at the end of each lesson. I'm hoping to take further training and apply this skill in future health-related research. ”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626347402305-TXGNR2HS2V3MQ5FC3SPV/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Dr. Jason Jackson - Director of Jackson Research Institute, Professor at Purdue University Global</image:title>
      <image:caption>“The course instructor Rob was very sharp, the kind of person I know I learned from and he gave much to the course to make it a world class experience. I am inspired to continue working with and learning Python. This was overall amazing.”</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1626343230207-KZJEVJ79QF89ASQAUBME/image-asset.jpeg</image:loc>
      <image:title>Testimonials - Mihaela Dinca - Learner on Introduction to R</image:title>
      <image:caption>“Excellent course—very well structured, intuitive, and with immediate practical applications for researchers! It really boosts my confidence that I can learn R.”</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://campus.sagepub.com/webinar-data-visualisation</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
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      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:caption>This six-unit course equips students with the intellectual skills and practical habits of critical thinking. 10 hrs to complete</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1631272778198-DACSE7N5Z443XUNSWDQG/N1L0218_SC_GoogleResponsive_2_1200x628.jpg</image:loc>
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      <image:caption>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. 2 hrs to complete</image:caption>
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      <image:caption>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. 5 hrs to complete</image:caption>
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      <image:caption>Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples. 24 hrs to complete</image:caption>
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      <image:caption>Gain the skills you need to manipulate and visualize a variety of data types using Python. 25 hrs to complete</image:caption>
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      <image:caption>Learn the techniques and tools for presenting data in visually attractive and interactive ways using the R programming language. 40 hrs to complete</image:caption>
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      <image:caption>Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research. 5 hrs to complete</image:caption>
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      <image:caption>Learn how to analyze large amounts of textual data, at scale, using the R programming language. 15 hrs to complete</image:caption>
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      <image:caption>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. 2 hrs to complete</image:caption>
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      <image:caption>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. 4 hrs to complete</image:caption>
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      <image:title>All courses - Research Proposal</image:title>
      <image:caption>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. 5 hrs to complete</image:caption>
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      <image:title>All courses - Plan Your Project</image:title>
      <image:caption>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. 5 hrs to complete</image:caption>
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      <image:title>All courses - Do Your Interviews</image:title>
      <image:caption>Practical, hands-on course that guides you through planning and developing research interviews, from selecting a suitable interview approach to preparing participants. 5 hrs to complete</image:caption>
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      <image:title>All courses - Research Design in Social Data Science</image:title>
      <image:caption>Gain an understanding of the emerging field of social data science as a big data-driven approach to social science research. 6 hrs to complete</image:caption>
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    <image:image>
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      <image:title>All courses - Conduct a Literature Review</image:title>
      <image:caption>Guides you through the entire process of preparing a literature review, from selecting and analyzing existing literature to structuring and writing your review. 5 hrs to complete</image:caption>
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      <image:title>All courses - Gather Your Data Online</image:title>
      <image:caption>Gives an overview of types of data and ways to find and generate them online to use for research. 4 hrs to complete</image:caption>
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    <image:image>
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      <image:title>All courses - Present Your Research</image:title>
      <image:caption>Equips learners with the confidence, skills and communication strategies to present their research in an impactful and meaningful way. 4 hrs to complete</image:caption>
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      <image:title>All courses - Introduction to Data Management</image:title>
      <image:caption>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. 4 hrs to complete</image:caption>
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      <image:title>All courses - Analyze Qualitative Data</image:title>
      <image:caption>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. 5 hrs to complete</image:caption>
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      <image:title>All courses - Introduction to Journal Publishing</image:title>
      <image:caption>Teaches an overview of journal publishing, informing researchers how to take advantage of different publishing opportunities. 2 hrs to complete</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1612975142146-WB0412ZIP9OS5KAN7PCV/Campus_Publishing+for+impact.jpg</image:loc>
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      <image:caption>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.  2 hrs to complete</image:caption>
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      <image:caption>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. 1.5 hrs to complete</image:caption>
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      <image:title>Data Vis course set - Introduction to R</image:title>
      <image:caption>This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step. 12 hrs to learn</image:caption>
    </image:image>
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      <image:title>R course set - Introduction to R</image:title>
      <image:caption>This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step. 12 hrs to learn</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1601054141142-3XD9QY881MQ5M46W1MGR/Introduction-to-R.jpg</image:loc>
      <image:title>R course set - 1. Introduction to R</image:title>
      <image:caption>This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step. 20 hrs to learn</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1580214057197-LZ33SEAG44H9UZB5Y1KR/Introduction-to-R.jpg</image:loc>
      <image:title>R course set - Introduction to R</image:title>
      <image:caption>This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step. 12 hrs to learn</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1601054182362-E77J5DSIQ7HU9IN35EJ8/PDM.PNG</image:loc>
      <image:title>R course set - 2. Practical Data Management with R</image:title>
      <image:caption>Learn how to use R to manage data in a wide variety of formats, in a reproducible manner, at scale. 30 hrs to learn</image:caption>
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      <image:title>R course set - 3. Interactive Visualization with R</image:title>
      <image:caption>Learn the techniques and tools for presenting data in visually attractive and interactive ways using the R programming language. 40 hrs to learn</image:caption>
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    <image:image>
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      <image:caption>Learn how to analyze large amounts of textual data, at scale, using the R programming language. 15 hrs to learn</image:caption>
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      <image:title>Text Analysis course set - 1. Introduction to Text Mining</image:title>
      <image:caption>Gain a conceptual overview of the text mining landscape and a foundational understanding of the analysis of digital textual data sets. 10 hrs to complete</image:caption>
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    <image:image>
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      <image:title>Text Analysis course set - 1. Introduction to Text Mining</image:title>
      <image:caption>Gain a conceptual overview of the text mining landscape and a foundational understanding of the analysis of digital textual data sets. 10 hrs to complete</image:caption>
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    <image:image>
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      <image:title>Text Analysis course set - 2. Introduction to R</image:title>
      <image:caption>This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step. 20 hrs to complete</image:caption>
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    <image:image>
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      <image:title>Text Analysis course set - Introduction to R</image:title>
      <image:caption>This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step. 12 hrs to learn</image:caption>
    </image:image>
    <image:image>
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      <image:title>Text Analysis course set - 3. Fundamentals of Quantitative Text Analysis</image:title>
      <image:caption>Learn how to analyze large amounts of textual data, at scale, using the R programming language. 15 hrs to complete</image:caption>
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    <loc>https://campus.sagepub.com/soc-med-set</loc>
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      <image:title>Soc Med course set - Collecting Social Media Data</image:title>
      <image:caption>Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research. 5 hrs to complete</image:caption>
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    <image:image>
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      <image:title>Soc Med course set - Collecting Social Media Data</image:title>
      <image:caption>Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research. 5 hrs to complete</image:caption>
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    <image:image>
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      <image:title>Soc Med course set - Research Design in Social Data Science</image:title>
      <image:caption>Gain an understanding of the emerging field of social data science as a big data-driven approach to social science research. 6 hrs to complete</image:caption>
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      <image:title>Soc Med course set - Collecting Social Media Data</image:title>
      <image:caption>Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research. 1-3 hours to learn</image:caption>
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      <image:title>Soc Med course set - Research Design in Social Data Science</image:title>
      <image:caption>Gain an understanding of the emerging field of social data science as a big data-driven approach to social science research. 3-6 hrs to learn</image:caption>
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      <image:title>Python course set - 1. Introduction to Python</image:title>
      <image:caption>Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples. 24 hrs to learn</image:caption>
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      <image:title>Python course set - 1. Introduction to Python</image:title>
      <image:caption>Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples. 24 hrs to learn</image:caption>
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      <image:title>Python course set - Introduction to Python</image:title>
      <image:caption>Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples. 20 hrs to learn</image:caption>
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      <image:caption>Gain the skills you need to manipulate and visualize a variety of data types using Python 16 hrs to learn</image:caption>
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      <image:caption>Rachel steers the team ship forward as we develop and grow our suite of online courses. Rachel has worked in online course development since 2015, and in publishing for the last 20 years. It’s her mission to grow Sage Campus into an online course product that helps as many learners around the world as we can.</image:caption>
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      <image:title>Team Photos - Katie Beck, Commissioning Editor</image:title>
      <image:caption>Katie works closely with instructors to develop engaging online content, as well as collaborating with the team to plan and commission brand new courses to strengthen Campus’ portfolio. Katie has worked in online course development since 2017, and has more than a decade’s worth of editorial experience in various sectors.</image:caption>
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      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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    <image:image>
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      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Journal Pub course set - 3. Choosing a Journal</image:title>
      <image:caption>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. 1.5 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621001455801-HF9SPV4G1SSM0A640QDM/Campus_Promoting+your+paper+and+rights+and+responsibilities.jpg</image:loc>
      <image:title>Journal Pub course set - 4. Article Acceptance to Promotion</image:title>
      <image:caption>Teaches authors how to effectively promote their paper through different channels, including conferences and events as well as multimedia avenues. 1 hr to complete</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://campus.sagepub.com/write-journal-art-course-set</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2024-01-10</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621003939980-YLAI3WR0SDV6ZFDUCEQ9/Campus_How+to+Write+a+Paper+1.jpg</image:loc>
      <image:title>Write Journal Art course set - 1. How to Write a Journal Article 1</image:title>
      <image:caption>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. 3 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621003939980-YLAI3WR0SDV6ZFDUCEQ9/Campus_How+to+Write+a+Paper+1.jpg</image:loc>
      <image:title>Write Journal Art course set - 1. How to Write a Journal Article 1</image:title>
      <image:caption>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. 3 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621003946864-3OO30GRZADSF0H9R9QI2/Campus_How+to+Write+a+Paper+2.jpg</image:loc>
      <image:title>Write Journal Art course set - 2. How to Write a Journal Article 2</image:title>
      <image:caption>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. 2 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621003952996-MJ1B3LCKTS6Y7UIF43QK/Campus_Submission+and+final+touches.jpg</image:loc>
      <image:title>Write Journal Art course set - 3. Submission and Final Touches</image:title>
      <image:caption>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. 2 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621003957130-XA8J3H76KY19RG8OAP0W/Campus_Peer+review+and+dealing+with+feedback.jpg</image:loc>
      <image:title>Write Journal Art course set - 4. Peer Review, Feedback and Decisions</image:title>
      <image:caption>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. 1.5 hrs to complete</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://campus.sagepub.com/master-research-proj-course-set</loc>
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    <priority>0.75</priority>
    <lastmod>2022-10-21</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621005451360-5PSQCU5SGG9KTZ9G749L/LQF_Research+Question.jpg</image:loc>
      <image:title>Master Research Proj course set - 1. Research Question</image:title>
      <image:caption>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. 4 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621005451360-5PSQCU5SGG9KTZ9G749L/LQF_Research+Question.jpg</image:loc>
      <image:title>Master Research Proj course set - 1. Research Question</image:title>
      <image:caption>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. 4 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621005458403-9L8KN7FA8O315ZM6M5LF/LQF_Research+Proposal.jpg</image:loc>
      <image:title>Master Research Proj course set - 2. Research Proposal</image:title>
      <image:caption>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. 5 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621005470338-HCJX5OTRX6AE1Y1MU9IQ/LQF_Plan+your+research+project.jpg</image:loc>
      <image:title>Master Research Proj course set - 3. Plan Your Project</image:title>
      <image:caption>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. 5 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1666368825066-FNYFAM5GWTBDUPETJUAW/Campsu_Develop+Your+Search+Strategy.jpg</image:loc>
      <image:title>Master Research Proj course set - 4. Develop Your Search Strategy</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621005480252-CFKXKXKXY4GHORRAIDMF/LQF_Present+your+research.jpg</image:loc>
      <image:title>Master Research Proj course set - 5. Present Your Research</image:title>
      <image:caption>Equips learners with the confidence, skills and communication strategies to present their research in an impactful and meaningful way. 4 hrs to complete</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://campus.sagepub.com/research-online-course-set</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2022-08-09</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621005996605-Q65TY9EVJDI9UOXFY4HY/LQF_Get+your+data+online.jpg</image:loc>
      <image:title>Research Online course set - 1. Gather Your Data Online</image:title>
      <image:caption>Gives an overview of types of data and ways to find and generate them online to use for research. 4 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621005996605-Q65TY9EVJDI9UOXFY4HY/LQF_Get+your+data+online.jpg</image:loc>
      <image:title>Research Online course set - 1. Gather Your Data Online</image:title>
      <image:caption>Gives an overview of types of data and ways to find and generate them online to use for research. 4 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621006047030-QJTNMCY0NGSZS1J4NQC2/Campus_Collecting+social+media+data.jpg</image:loc>
      <image:title>Research Online course set - 2. Collecting Social Media Data</image:title>
      <image:caption>Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research. 5 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621006082448-EW5GEDO44QUSNBOA8CNF/Campus_Practical+data+management+with+R.jpg</image:loc>
      <image:title>Research Online course set - 3. Practical Data Management with R</image:title>
      <image:caption>Learn how to use R to manage data in a wide variety of formats, in a reproducible manner, at scale. 30 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1660038028542-GVUDXG7AOTPTE2FA90JS/Campus_Introduction+to+Artificial+Intelligence+%26+Machine+Learning.png</image:loc>
      <image:title>Research Online course set - 4. Introduction to Artificial Intelligence</image:title>
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  </url>
  <url>
    <loc>https://campus.sagepub.com/learner-pathways</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2023-03-14</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1621428118448-2J1VZSCBCC74C4NAIPTD/N0P0083+SAGE+Campus+2020+Marketing+Site+Header.jpg</image:loc>
      <image:title>Learner pathways</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/2a2a74b1-a485-4e38-9c6f-8914c344b827/Sage_header_Courses%402x.png</image:loc>
      <image:title>Learner pathways</image:title>
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  </url>
  <url>
    <loc>https://campus.sagepub.com/pedagogy1</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2024-08-29</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/2a2a74b1-a485-4e38-9c6f-8914c344b827/Sage_header_Courses%402x.png</image:loc>
      <image:title>Pedagogy</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/eb592c95-a782-4425-948a-83e4b1148c63/info-for.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/33a48cad-5d98-4fa3-a612-bca1e4963ff5/computer-test.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/c14e596f-483d-47fd-baf9-01c210856f61/entrepreneurship.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/68456558-d291-4137-bd9f-28d8dec53f30/business-management.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/9e787580-a8fa-4e65-8c52-303b05b3b764/data-literacy.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/f4666b62-c945-4298-a63e-5f228dfbc556/tablet.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/29109e21-eab4-4cc6-be8d-284f0615dd8c/DIY.PNG</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1628874260588-HK710ECE8MLJUBTQ77IU/excel.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>See Numbers in Data by John MacInnes</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/25d8911e-04f3-48d9-bb41-f4a7aa268164/video-camera.png</image:loc>
      <image:title>Pedagogy</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/cf68c37f-edc1-44d7-a473-b338e9d07a8f/book.png</image:loc>
      <image:title>Pedagogy</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/3642be89-47d4-49b4-aa65-d503b3efc6dd/search.png</image:loc>
      <image:title>Pedagogy</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/e114842b-c6a1-4f0e-ab0f-65c7c45d0740/Module+5+checkpoint+drag+and+drop+with+images+of+graphs.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Activity from the See Numbers in Data course by John MacInnes</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1628873131214-844QSAV3HON0YD5R9738/See+How+its+Done+with+Zina+Says.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Example from the Research Proposal course by Dr Zina O’Leary</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1628870906903-JCRBNDXQ5GW5AWH0RDGU/Remember.PNG</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Research Proposal by Dr Zina O’Leary</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1628855639010-0PBDUU1DM1Q35AAEESN6/Module+2+Narrative+slides.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Know Your Numbers by John MacInnes</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1628868238293-SBB2F2NQ0HO217PLX4FA/Submission+and+Final+Touches_+Accordion.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Submission and Final Touches</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1628871132643-SMEPL6D3ZLEL5YEAT7HR/See+Numbers+in+Data_+Hot+flowchart.png</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>See Numbers in Data by John MacInnes</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/3d585177-e683-4390-b4b1-48061025c293/mini_desk_250x250_SC_color.jpg</image:loc>
      <image:title>Pedagogy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://campus.sagepub.com/dissertation-course-set</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2024-01-10</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1645098599906-TQTUNG0A62F5YT1V4MRU/Campus_Critical+Thinking.jpg</image:loc>
      <image:title>Dissertation course set - 1. Critical Thinking: An Online Course</image:title>
      <image:caption>This six-unit course equips students with the intellectual skills and practical habits of critical thinking. 10 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1645098599906-TQTUNG0A62F5YT1V4MRU/Campus_Critical+Thinking.jpg</image:loc>
      <image:title>Dissertation course set - 1. Critical Thinking: An Online Course</image:title>
      <image:caption>This six-unit course equips students with the intellectual skills and practical habits of critical thinking. 10 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1631272182466-O5IK4NR88QCQTNZITBWK/N1L0218_SC_GoogleResponsive_2_1200x628.jpg</image:loc>
      <image:title>Dissertation course set - 2. Critical Reading and Writing</image:title>
      <image:caption>Equips you with the skills and knowledge to make the jump to higher education. It teaches reading strategies to evaluate and question written and visual texts and builds confidence in structuring a critical writing piece, spelling out arguments and integrating evidence. 2 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1631272231085-VCYUQTVCH6G3MOML592H/N1L0218_SC_GoogleResponsive_4_1200x628.jpg</image:loc>
      <image:title>Dissertation course set - 3. Conduct a Literature Review</image:title>
      <image:caption>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, develops skills in using evidence to create and present an engaging and critical argument. 5 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1631272208293-4SPD8ELKYBFDRFTKXLQ5/N1L0218_SC_GoogleResponsive_3_1200x628.jpg</image:loc>
      <image:title>Dissertation course set - 4. Do Your Interviews</image:title>
      <image:caption>Guides you through the planning and development of research interviews, from choosing the most suitable interview approach, writing strong questions and preparing the interview with participants. A practical, hands-on course to help capture in-depth research data. 5 hrs to complete</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1666368501229-KITGYF8RE8Y11JH038IH/Campus+-+Working+with+Transcribed+Data.jpg</image:loc>
      <image:title>Dissertation course set - 5. Working with Transcribed Data</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1631272263119-VA009N37PRLOT1918J6A/N1L0218_SC_GoogleResponsive_5_1200x628.jpg</image:loc>
      <image:title>Dissertation course set - 6. Analyze Qualitative Data</image:title>
      <image:caption>Develops your skills in understanding and evaluating your individual data. It identifies the appropriate approach to coding and uses techniques to categorize and pull themes from their data, building confidence and proficiency in every stage of the data analysis process. 5 hrs to complete</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://campus.sagepub.com/do-your-interviews1</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2024-01-10</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1631272349487-N9HGHRDCHX391YZZL9MS/Campus_Do+your+interviews.jpg</image:loc>
      <image:title>Do Your Interviews</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://campus.sagepub.com/critical-reading-and-writing1</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2024-01-10</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1631272319083-AS4VRKX8M8L4V3VHHMGI/Campus_Critical+reading+and+writing.jpg</image:loc>
      <image:title>Critical Reading and Writing</image:title>
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  </url>
  <url>
    <loc>https://campus.sagepub.com/conduct-a-literature-review1</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2024-01-10</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/593e7428a5790aa6651c2a84/1631272369428-DCMXP0GLAMHBYEZRGPUG/Campus_Conducting+a+literature+review.jpg</image:loc>
      <image:title>Conduct a Literature Review</image:title>
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  </url>
  <url>
    <loc>https://campus.sagepub.com/analyze-qualitative-data1</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
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