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

Jonathan Wong is the founder of CloudPedagogy, where he develops ethical, practical, and future-ready learning systems for Generative, Agentic, and emerging Quantum AI. Drawing on over 20 years of experience in higher education, research, and digital innovation, he specialises in applying AI to real-world contexts — from curriculum design and assessment reform to research acceleration and institutional strategy. His frameworks and courses help educators, researchers, and professionals build the confidence, capability, and critical insight needed to thrive across the evolving Continuum of Intelligence.

Curriculum

8 Chapters · 70 Lessons

  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
    4. Download: Universal AI Practice Workbook Free preview
  2. 2

    5.1 Using AI for Research Design and Hypothesis Development

    1. (Included in full purchase)

      5.1.1 Generating Research Hypotheses Using AI-Driven Analysis of Existing Data

    2. (Included in full purchase)

      5.1.2 Designing Robust Experimental Methodologies with the Help of AI Tools

    3. (Included in full purchase)

      5.1.3 How AI Can Suggest Research Designs Based on Historical and Current Trends

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      5.1.4 Refining and Adapting Research Questions Through AI Insights and Data Analysis

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      5.1.5 Using AI for Statistical Modelling to Optimise Research Designs

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      5.1.6 Key Takeaways

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      5.1.A Practical Use Cases

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      5.1.B Learning Activities

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      5.1.C Prompt Templates

    10. (Included in full purchase)

      5.1.D Innovative Use Cases

    11. (Included in full purchase)

      5.1.E Reflection & Discussion

    12. (Included in full purchase)

      5.1.F Productivity Tips

  3. 3

    5.2 AI for Statistical Concept Explanation (Not Calculation)

    1. (Included in full purchase)

      5.2.1 Using AI to Explain Complex Statistical Concepts for Researchers

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      5.2.2 How Conversational AI Simplifies Advanced Statistical Theories for Better Comprehension

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      5.2.3 Using AI to Provide Real-Time Feedback and Clarification on Statistical Methods

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      5.2.4 AI for Teaching Statistical Concepts Interactively

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      5.2.5 Addressing Gaps in Statistical Understanding with AI-Powered Explanations

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      5.2.6 Key Takeaways

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      5.2.7 Knowledge Check

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      5.2.A Practical Use Cases

    9. (Included in full purchase)

      5.2.B Learning Activities

    10. (Included in full purchase)

      5.2.C Prompt Templates

    11. (Included in full purchase)

      5.2.D Innovative Use Cases

    12. (Included in full purchase)

      5.2.E Reflection & Discussion

    13. (Included in full purchase)

      5.2.F Productivity Tips

  4. 4

    5.3 AI for Data Interpretation and Insight Generation

    1. (Included in full purchase)

      5.3.1 Leveraging AI to Identify Patterns, Trends, and Correlations Within Data

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      5.3.2 Using AI Tools to Generate Insights and Interpretations from Complex Research Data

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      5.3.3 AI-Powered Tools for Improving Data-Driven Decision-Making in Research

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      5.3.4 Enhancing Qualitative Analysis with AI’s Natural Language Processing Capabilities

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      5.3.5 Using AI for Data Visualisation to Complement Insight Generation

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      5.3.6 Key Takeaways

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      5.3.7 Knowledge Check

    8. (Included in full purchase)

      5.3.A Practical Use Cases

    9. (Included in full purchase)

      5.3.B Learning Activities

    10. (Included in full purchase)

      5.3.C Prompt Templates

    11. (Included in full purchase)

      5.3.D Innovative Use Cases

    12. (Included in full purchase)

      5.3.E Reflection & Discussion

    13. (Included in full purchase)

      5.3.F Productivity Tips

  5. 5

    5.4 AI for Qualitative Data Thematic Analysis

    1. (Included in full purchase)

      5.4.1 How Generative AI Automates Qualitative Data Analysis, Including Interviews and Surveys

    2. (Included in full purchase)

      5.4.2 Identifying Key Themes and Insights in Qualitative Research Data Using AI

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      5.4.3 Enhancing the Richness of Qualitative Data Analysis Through AI Assistance

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      5.4.4 Using AI to Produce Deeper Insights from Qualitative Data That Might Be Overlooked Manually

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      5.4.5 AI-Powered Thematic Analysis for Large-Scale Qualitative Research Projects

    6. (Included in full purchase)

      5.4.6 Key Takeaways

    7. (Included in full purchase)

      5.4.7 Knowledge Check

    8. (Included in full purchase)

      5.4.A Practical Use Cases

    9. (Included in full purchase)

      5.4.B Learning Activities

    10. (Included in full purchase)

      5.4.C Prompt Templates

    11. (Included in full purchase)

      5.4.D Innovative Use Cases

    12. (Included in full purchase)

      5.4.E Reflection & Discussion

    13. (Included in full purchase)

      5.4.F Productivity Tips

  6. 6

    5.5 AI’s Role in Research Transparency and Reproducibility

    1. (Included in full purchase)

      5.5.1 Using AI Tools to Ensure Transparency in Research Methodologies and Data Analysis

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      5.5.2 Automating the Documentation of Research Processes and Findings for Reproducibility

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      5.5.3 Maintaining Consistency and Objectivity in AI-Assisted Research Workflows

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      5.5.4 Enhancing the Transparency of Data Collection and Analysis through AI Tools

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      5.5.5 How AI Can Aid in Tracking and Validating Research Processes for Replicability

    6. (Included in full purchase)

      5.5.6 Key Takeaways

    7. (Included in full purchase)

      5.5.7 Knowledge Check

    8. (Included in full purchase)

      5.5.A Practical Use Cases

    9. (Included in full purchase)

      5.5.B Learning Activities

    10. (Included in full purchase)

      5.5.C Prompt Templates

    11. (Included in full purchase)

      5.5.D Innovative Use Cases

    12. (Included in full purchase)

      5.5.E Reflection & Discussion

    13. (Included in full purchase)

      5.5.F Productivity Tips

  7. 7

    Final Lesson Message

    1. (Included in full purchase)

      Course Complete: Share Your Feedback

  8. 8

    Feedback

    1. (Included in full purchase)

      End of Course Survey

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.

£97.00

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