Preparing and Exploring Your Data in Python
Event Date:
Friday, May 25, 2018 - 18:30 to Saturday, May 26, 2018 - 17:30
Event Venue:
Learning Garden, University Library, CUHK
Highlights:
Workshop 2: Preparing and Exploring Your Data in Python (9 hrs) (25 - 26 May 2018)
a. Preparing (pre-processing) your data for growth (3 hrs)
- Know your sources: interviews, field studies, open data, API, websites, IoT, and digital archives
- ETL (extraction, transformation, and loading) in CSV, XML, and JSON formats for data preparation
- Finding a home for your data - cloud computing and its infrastructure for growth and support
- Popular tools for data preparation (e.g. Knime, Open Refine, Google Sheet/Xpath, Scrapinghub, Beautiful Soap, and Scrapy)
Date & Time: 25 May 2018 (Fri), 6:30 p.m. - 9:30 p.m.
b. Exploring your data in Python (6 hrs)
- Using Anaconda Jupyter Notebook for data exploration in Python
- Introduction to Python operations (operator and operand), control structure, data structure, and function
- Useful Python modules for data exploration, analysis and mining (Mathpotlib, Numpy, Pandas, etc.)
- Free online resources for self-paced learning in Python (codeacademy.com, coursera.org, udacity.com, cognitiveclass.ai, etc.)
Date & Time: 26 May 2018 (Sat), 10:00 a.m. - 1:00 p.m. & 2:30 p.m. - 5:30 p.m.
Event Type: