Innovation Skills Workshops: Applying Digital Tools in Telling Stories with DATA (First Workshop on 23-24 March 2018)

The Library is pleased to collaborate with  Centre for Entrepreneurship  in arranging a series of workshops -  Innovation Skills Workshops:... thumbnail 1 summary
The Library is pleased to collaborate with Centre for Entrepreneurship in arranging a series of workshops - Innovation Skills Workshops: Applying Digital Tools in Telling Stories with DATA from March to October 2018. The series consists of 3 workshops well-structured for equipping participants with the skills to combine computational methods with narrative approaches using data to develop web applications for scholarly and creative works. Popular digital tools like Python will be covered. Each workshop consists of 9 hours with theories and practices, starting on Friday night and end on Saturday afternoon:
  • Workshop 1: Design Thinking Meets Computational Thinking - Digital Literacy in the Network Age
  • Workshop 2: Preparing and Exploring Your Data in Python
  • Workshop 3: Visualizing and Publishing Your Data in Python
Welcome CUHK Faculty members, researchers and all students to join this workshop to equip yourself to tell impactful stories with data. Please also keep an eye on the other two workshops. Certificate of Attendance will be issued for participants who have attended ALL THREE workshops.
Workshop 1: Design Thinking Meets Computational Thinking - Digital Literacy in the Network Age (9 hrs) (will be held on 23-24 March 2018 (Fri–Sat)) 
a. T-shaped Talent and Digital Literacy
  1. From I-shaped to T-shaped: Talent development for the network age
  2. Design Thinking meets Computational Thinking: A STEAM approach to digital literacy
  3. Lessons from “Digital Humanities”: C.P. Snow, Nicholas Negroponte, and Lev Manovich revisited
  4. Telling story with data: From data scraping to data visualisation and interaction
Date & Time: 23 March 2018 (Fri), 6:30 p.m. – 9:30 p.m.
b. The Big 3 of web publishing
  1. HTML - the noun in web publishing
  2. CSS - the adjective in web publishing
  3. JavaScript - the verb in web publishing
  4. Using Git, Bootstrap library and Pingendo Builder for web development and publishing
Date & Time: 24 March 2018 (Sat), 10:00 a.m. – 1:00 p.m. & 2:30 p.m. - 5:30 p.m.
Workshop 2: Preparing and Exploring Your Data in Python (9 hrs) (tentatively in mid-May to early June 2018) 
a. Preparing (pre-processing) your data for growth (3 hrs)
  1. Know your sources: interviews, field studies, open data, API, websites, IoT, and digital archives
  2. ETL (extraction, transformation, and loading) in CSV, XML, and JSON formats for data preparation
  3. Finding a home for your data - cloud computing and its infrastructure for growth and support
  4. Popular tools for data preparation (e.g. Knime, Open Refine, Google Sheet/Xpath, Scrapinghub, Beautiful Soap, and Scrapy)
b. Exploring your data in Python (6 hrs)
  1. Using Anaconda Jupyter Notebook for data exploration in Python
  2. Introduction to Python operations (operator and operand), control structure, data structure, and function
  3. Useful Python modules for data exploration, analysis and mining (Mathpotlib, Numpy, Pandas, etc.)
  4. Free online resources for self-paced learning in Python (codeacademy.com, coursera.org, udacity.com, cognitiveclass.ai, etc.)
Workshop 3: Visualizing and Publishing Your Data in Python (9 hrs) (tentatively in mid-September to early October 2018) 
a. Growing your data in the cloud: From Google Sheet to Airtable (3 hrs)
  1. Beyond Google Sheet — Building relational database in Airtable for storing and managing your data
  2. The power of views — Displaying and filtering data in form, grid, calendar, kanban, and gallery views
  3. Functions and API for more advanced data modelling and application development
  4. Integration with other web applications for team collaboration and project management
b. Data Visualisation in JavaScript (3 hrs)
  1. Front-end vs. back-end programming: interface with the user and interface with the data using the Python Flask framework
  2. Useful JavaScript libraries (jQuery, D3, Mpld3, Leaflet, etc.) for data visualization and front-end interactions
  3. Create your first interactive chart in Matpotlib and Mpld3 
  4. Create your first interactive map in Leaflet
c. Publishing Your Project on the Web (3 hrs)
  1. The elements of user experience in web design
  2. The narrative components in user journey within a web design
  3. Combining Airtable and Bootstrap library for web publishing
  4. Use of Google Optimize and Google Analytics to track your web project
Venue: Digital Scholarship Lab, G/F, University Library
Registration: Click to register (for workshop 1)
Remarks: Users are required to bring their own devices to the workshop.
Enquiries: dslab@lib.cuhk.edu.hk.
Innovation Skills Workshop: Applying Digital Tools in Telling Stories with DATA