Workshops / Using ChatGPT and Microsoft Copilot for Data Analysis
Using ChatGPT and Microsoft Copilot for Data Analysis
2 hours
Online
This workshop introduces practical approaches to using ChatGPT and Microsoft Copilot for data analysis, focusing on both quantitative and qualitative research methods.
Participants will gain a foundational understanding of the AI tools’ capabilities and their application in analyzing and reporting data. The session includes a step-by-step guide to conducting thematic analysis, completing your analysis effectively, and understanding the tool’s limitations, culminating in an interactive Q&A discussion.
This live workshop gives you the opportunity to work in a supportive environment with other professionals and direct engagement with the trainer. When you register for this training workshop, you will receive the following:
- Live 2-hour online workshop on survey design led by Prof. Eric Jensen
- Useful resources you can borrow and adapt for your work
- Gain a clear understanding of ChatGPT and Microsoft Copilot’s features and how they apply to analyzing quantitative and qualitative data.
- Learn how to structure and interpret quantitative data using ChatGPT and Microsoft Copilot to extract useful insights.
- Understand key considerations for analyzing qualitative data, ensuring thoughtful and accurate thematic analysis.
- Develop skills to complete analyses and produce coherent reports with ChatGPT and Microsoft Copilot’s assistance.
- Explore the limitations of ChatGPT and Microsoft Copilot for data analysis to set realistic expectations and avoid common pitfalls.
- Participate in an interactive Q&A session to address your specific challenges and questions.
Prof. Eric Jensen
Professor Jensen draws on more than 20 years of social research, evaluation and engagement experience to strengthen evidence‑based research impact.Â
Professor Jensen is a social scientist with a PhD from the University of Cambridge in sociology. He is a part-time professor at the University of Warwick, where he has led courses on public engagement, science policy, audience research and social research methods (including surveys and statistics). He is also a doctoral research supervisor for the University of Oxford and a visiting research scientist at the National Center for Supercomputing Applications at the University of Illinois.
Professor Jensen has been an invited trainer for numerous research and innovation institutions and governments around the world on topics relating to engagement, evaluation and evidence-based research impact. He has delivered training in English, Spanish, and Brazilian Portuguese to more than 18,000 researchers, policymakers, and learning and impact professionals from over 1,000 institutions in 75+ countries, including in‑person programs in 30 countries.
Professor Jensen has authored 200+ peer‑reviewed articles (3,000+ citations) in outlets such as PLOS ONE, Public Understanding of Science, PNAS, and Nature; books with Cambridge University Press and SAGE; chapters in books published by Oxford University Press, Springer, and Palgrave; and commissioned reports for UNESCO and the European Space Agency.
Dr. Aaron Jensen
Dr. Aaron Jensen’s social research experience includes nearly a decade of leading and supporting roles in the design, coordination and delivery of 30+ research and innovation projects globally. He has demonstrated proficiency and expertise as a professional evaluation consultant with advanced social research methods in a wide range of real-world contexts.
His social research portfolio includes postdoctoral-level contributions to eight European Commission-funded (H2020) projects requiring expertise in social research. He has co-authored numerous competitive proposals and grant applications that secured awards from national, government, and higher education funders for large-scale, multi-national projects.
Dr. Jensen often works at the intersection between research and technical teams to ensure robust methodologies, data management and data protection (GDPR). He has co-founded multiple enterprises and research initiatives and co-developed an innovative, propriety digital research technology to maximize the efficient delivery of advanced research protocols with process automation and dynamic insights with real-time analytics.
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