A few pre-hackathon workshops will be offered to Data Hack participants. Note that workshops in blue are elementary level while those in black colour are advanced ones. Upon joining Data Hack, participants will be eligible to attend the workshops. Just bring your own device to attend the sessions. No further registration is required.
Venue: @ DSLab: Digital Scholarship Lab, G/F, University Library
@ User Education Room: User Education Room, G/F, University Library
MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY | SUNDAY |
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1 | 2 | 3 | 4 | 5 | ||
18:00-21:00 |
10:30-12:00 18:00-21:00 |
10:00-13:00 Data Scraping and Cleaning in ParseHub and OpenRefine @ DSLab 14:00-17:00 |
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6 | 7 | 8 | 9 | 10 | 11 | 12 |
18:00-21:00 Introduction to programming, data visualizing, and machine learning in JavaScript (Part I) @ DSLab |
18:00-21:00 Introduction to programming, data visualizing, and machine learning in JavaScript (Part II) @ User Education Room |
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13 | 14 | 15 | 16 | 17 | 18 | 19 |
14:30-17:00 |
18:30, 17 Feb – 19:00, 19 Feb Data Hack 2023 @ CUHK Innoport |
14:30-17:00, 16 Feb 2023 (Thu)
Introducing Web Scraping
Remark:
Participants are required to bring their own device with Anaconda (https://www.anaconda.com/) installed prior to the workshop for hands-on practice.