| Organizer | Department of Applied Mathematics |
| Event Time | December 25, 2024 (Wed) 14:00–16:00 |
| Registration Period | October 28, 2024 (Mon) 07:00 – December 13, 2024 (Fri) 15:00 |
| Event Venue | Online (The URL will be provided via email upon acceptance) |
| Participant Limit | 350 people |
| Fee | Free of charge |
| Target Audience | Faculty and staff, students, and external participants |
Speaker:
Mr. Kuo Yao-Jen
(Data Analyst, Professional Data Science Instructor)
Background and Experience:
Master’s in Business Administration, National Taiwan University (NTU)
Part-time Lecturer at the Department of Business Administration and the Center for General Education, NTU
Instructor of data science courses at the NTU Computer Science and Information Engineering (CSIE) System Training Program and the Chunghwa Telecom Institute
Former Senior Data Analyst at Coupang, SAS Data Analysis Consultant, Management Trainee at CTBC Bank, and Research Assistant at McKinsey
Past Achievements:
Has launched multiple online courses on the Hahow platform
Published several data science books through Borshu and Flag Publishing
Abstract:
When I teach programming and data analysis courses related to data science at various educational institutions, enthusiastic learners often ask right from the start: “How do I become a data analyst?”
In the past, I would directly share my own work and learning experiences as a “been-there-done-that” professional. One day, I realized this approach might be problematic because relying solely on personal experience runs counter to the core value of a data analyst: “Actively seeking data to validate the hypotheses generated by intuition and experience.” Therefore, I now approach this question—“How to become a data analyst?”—together with my learners through the lens of data-driven analysis.
Note:
This activity can be recorded in either the Liberal Education Passport or the Teacher Training Passport (choose one).