STA/CUHK

Hands-on Statistics Workshops for CUHK Postgraduates

Welcome to the homepage for the training programme for "Hands-on Statistics Workshops for CUHK Postgraduates", a collaboration between the Department of Statistics and Data Science, the Centre for Learning Enhancement And Research (CLEAR), the Graduate School of The Chinese University of Hong Kong.

These workshops are the outcome of two TDLEG projects named 'Supporting Statistics Research Postgraduates to Teach Quantitative Data Analysis to Postgraduate Students Without a Statistics Background', (Stats4RPgs for short), whose positive results led to the adoption of hands-on, student-led statistics workshops into the Improving Postgraduate Learning programme in 2025-26.

If you are here, the chances are you are CUHK Department of Statistics and Data Science research postgraduate student interested in completing our project's training programme which, should you complete it, will

  • teach you what challenges students may have when learning statistics, what they want from workshops and how to design your workshop;
  • involve you recording pre-workshop videos and writing workshop materials and hosting these on our KEEP platform (https://openedx.keep.edu.hk/courses/course-v1:CUHK+Stats4RPgs+2022/about);
  • conducting your workshop in face-to-face mode to CUHK research postgraduates without a statistics background;
  • take about 25 hours of your time, for which you will receive remuneration;
  • earn you a certificate of completion jointly issued by the Department of Statistics and Data Science and CLEAR.

All the training programme resources can be found here. Begin by reading the Overview, which outlines the steps for completing the training.

  1. Overview of the training programme: Overview 2026.01.pdf
  2. Pre-training questionnaire: Pre-training Questionnaire 2026.01.pdf
  3. Micro-module videos - pause the end of each for key takeaways and food-for-thought questions
    1. MM1: Introduction (Eng. Subtitles; Chi. Subtitles)
    2. MM2: Understanding Students Without Statistics Background (1): Statistics Anxiety (Psychological Factors) and Its Effect on Learning (Eng. Subtitles; Chi. Subtitles)
    3. MM3: Understanding Students Without Statistics Background (2): Difficulties in Statistics (Background Factors) and Their Effects on Learning (Eng. Subtitles; Chi. Subtitles)
    4. MM4: Students' Learning Needs and Expectations (Eng. Subtitles; Chi. Subtitles)
    5. MM5: Putting Things Together (1): How to Design and Plan the Workshop (Eng. Subtitles; Chi. Subtitles)
    6. MM6: Putting Things Together (2): In-Class Teaching Suggestions (Eng. Subtitles; Chi. Subtitles)
    7. MM7a and MM7b: Experience Sharing and Reflection (MM7a - Eng. Subtitles; Chi. Subtitles) (MM7b - Eng. Subtitles; Chi. Subtitles). After watching MM7a and MM7b, please read the reflections of your predecessors: TA's Reflections 2024.pdf
    8. MM8: Conclusion and Closing Remarks (Eng. Subtitles; Chi. Subtitles)
  4. Workshop teaching plan: Workshop Teaching Plan 2026.01.pdf
  5. Evaluation form for workshop attendees in until 2025. Attendees of your workshop will complete something similar: Workshop Evaluation Form 2025.pdf
  6. Post-training questionnaire: Post-training Questionnaire 2026.01.pdf

Many thanks for your interest in our programme, we hope you'll find the training programme as rewarding as we found it stimulating to put together. If you have any questions or concerns, please don't hesitate to contact either of our Coordinators: Dr. John Wright at jawright@cuhk.edu.hk or Dr. Wong Kin Chi at kc.wong@cuhk.edu.hk.

This webpage and the materials therein were created in large part in the "Supporting Statistics Research Postgraduates to Teach Quantitative Data Analysis to Postgraduate Students Without a Statistics Background - Phase I" and "Supporting Statistics Research Postgraduates to Teach Quantitative Data Analysis to Postgraduate Students Without a Statistics Background - Phase II" projects, funded by the Teaching Development and Language Enhancement Grants (TDLEG) for the 2019-2022 and 2022-25 Triennia.