Hands-On Learning

Apply generative AI to real research tasks with guided prompts, use cases, and interactive activities.

Research-Focused Instruction

Learn from in-depth, interdisciplinary examples rooted in academic and applied research practice.

Flexible, Self-Paced Study

Work through structured lessons at your own pace, with tools to support your current research projects.

About the Course

Our course on Generative AI for Data Analysis & Research Methodology is designed to help researchers use AI tools to support study design, interpret data, and improve methodological transparency. Whether you're developing hypotheses, analysing qualitative themes, or clarifying statistical concepts, this course offers practical guidance and research-focused prompts to help you use AI responsibly and effectively. Join us to build confidence, save time, and strengthen your research using generative AI—without compromising academic standards or ethical practice.

Meet Your Instructor

I'm Jonathan Wong, Founder of CloudPedagogy, Lead AI Educator, and research and innovation strategist with over 20 years in higher education and research, specialising in data science, AI, and advanced cloud technologies. My work focuses on applying generative AI to enhance teaching, research, and institutional operations, build intelligent AI systems, and advance ethical AI governance. In this course, I share practical frameworks, hands-on tools, and sector-specific examples developed through applied work in higher education and research. Whether you're starting your AI journey or aiming to deepen your expertise, you'll gain the skills and strategies to apply AI effectively, creatively, and responsibly in your professional context.

Curriculum

  1. 1

    Introduction

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
  2. 2

    5.1 Using AI for Research Design and Hypothesis Development

    1. 5.1.1 Generating Research Hypotheses Using AI-Driven Analysis of Existing Data Free preview
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    8. 5.1.B Learning Activities Free preview
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    5.2 AI for Statistical Concept Explanation (Not Calculation)

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    5.3 AI for Data Interpretation and Insight Generation

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    5.4 AI for Qualitative Data Thematic Analysis

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    5.5 AI’s Role in Research Transparency and Reproducibility

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    Final Lesson Message

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    Feedback

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Unlock Your Research Potential

Join our course today and unlock the full potential of Generative AI in your research projects. Empower yourself with the knowledge and skills to drive innovation and make a significant impact in your field.