Research Data Tool Series Workshop (2018/19, 2nd Semester)


Research: Effectively analyzing qualitative data

Visualizing data on interactive dashboards: An introduction to Tableau

Time: April 4 (Thu), 10:30 am - 12:00 pm

Speaker: Mr. Timothy YEUNG (Project Administrator, Digital & Multimedia Services, HKBU Library)

Venue: Collaborative Computer Lab, L4, HKBU Library

Workshop summary: A picture is worth a thousand words. Visualization facilitates a better understanding of your data and helps convey your insights to others. Tableau provides a platform to easily create a variety of charts and graphs. You can also explore your data further with its interactive dashboards.


What Microsoft Excel can do for transdisciplinary research? Instilling meaning in qualitative data

Basics in Python programming and data exploration

Time: April 10 (Wed), 2:30 pm - 4:30 pm

Speaker: Dr. Xinzhi ZHANG (Research Assistant Professor, Director of Data and Media Communication Concentration, Department of Journalism)

Venue: Collaborative Computer Lab, L4, HKBU Library

Workshop summary: This workshop makes a whirlwind tour of basics in Python programming. It also introduces several Python data analytics packages such as Pandas and Matplotlib, and their application in preliminary data exploration and visualization. Workshop participants are required to bring with their own laptops for installation and hands-on exercises.


The common sense approach to managing research data: How to avoid crying over messy datasets

A brief introduction to NVivo

Time: April 16 (Tue), 3:00 pm - 4:30 pm

Speaker: Dr. Yu-leung NG (Senior Research Associate, School of Communication)

Venue: Collaborative Computer Lab, L4, HKBU Library

Workshop summary: NVivo is a software that mainly assists you to organize, analyze and visualize qualitative data (textual, not numerical data). It is also used for mixed-methods research, and this workshop focuses on the brief introduction of the analysis of unstructured text, audio, and image data. Targets are students who want to gain basic hands-on experience.

Research Data Tool Series Workshop (2018/19, 2nd Semester) is over. Thank you for your attention.

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