Analysing Texts with Voyant Tools (Hands-on)
Voyant Tools is a web-based reading and analysis environment for digital texts. Join to learn how to use this online tool to analyse textual materials, no matter they are in text file or online.
Participants may bring your own device and use a browser to access http://www.voyant-tools.org/ and try out.
Gephi for Network Visualisation (Hands-on)
Gephi is a software for visualisation and exploration of graphs and networks. This workshop will demonstrate with hands-on exercise on how to turn your data into network graphs to discover hidden message.
Participants may bring your own device with Gephi 0.9.2 (https://gephi.org/) and the plugins installed prior to the workshop.
Basics of Data Mining with Weka (Hands-on)
Weka (Waikato Environment for Knowledge Analysis) is a collection of machine learning algorithms for data mining tasks, including data preparation, classification, regression, clustering, and visualization. This workshop will introduce principles of machine learning and some basic techniques of data mining using Weka.
Participants have to bring your own device with Weka 3.8 (stable version, with or without Java VM) installed.
11 Feb (Tue) 10:30 a.m. – 12:00 p.m. Click to register (Postponed until further notice.)
ArcGIS Basics for Digital Scholarship Projects (Hands-on)
ArcGIS is commonly used in digital scholarship projects for geospatial analysis. This workshop is an introductory hands-on session to demonstrate the basic functions of this software.
Only the 5 PCs in DS Lab has ArcGIS Pro for use. Users may download the 21-days free trial from Esri for ArcGIS Pro (https://www.esri.com/en-us/arcgis/trial) software if your device fulfilled their system requirement (http://pro.arcgis.com/en/pro-app/get-started/arcgis-pro-system-requirements.htm).
Introduction to R for Statistical Analysis
Invited speaker: Prof. Michael C.M. Chan, Associate Professor, School of Journalism and Communication, The Chinese University of Hong Kong
R has become an increasingly popular tool for statistical analysis. This workshop is targeted at students and faculty who are already familiar with well-known statistical software like SPSS and STATA, but would like to learn about or experience statistical analysis in the R environment. This workshop will introduce the R environment, cover the basic tasks such as data import (e.g. SPSS, Excel, csv), descriptive and inferential statistics, and visualization of data.
Participants are required to bring their own laptop (PC or Mac) with the software (installation in sequence) R and Rstudio installed prior to the workshop. First, download R from (https://cloud.r-project.org) and installed it. After installation, download and install free version of RStudio from (https://rstudio.com/products/rstudio/download).
6 Mar (Fri) 2:30 p.m. – 5:00 p.m. Cancelled
Introduction to Tableau for Visual Analytics
Invited speaker: Dr. Jacqueline Wong, Senior Lecturer, Department of Decision Sciences and Managerial Economics, The Chinese University of Hong Kong
(Content to be confirmed.)
- Users are required to bring their own device with Tableau Desktop installed. Please go to https://www.tableau.com/products/desktop/download for trial version.
- Students can apply for Tableau for Academic License from https://www.tableau.com/academic/students#form.
- Instructors can apply for a free license at https://www.tableau.com/academic/teaching#form.
20 Mar (Fri) 9:30 a.m. – 12:00 p.m. Click to register (Postponed to Summer Session.)
Foundation of Python and Data Analysis: With Applications in Public Policy
Invited speaker: Mr. Gary Li, Teaching Assistant, Data Science and Policy Studies Programme, The Chinese University of Hong Kong
Python is a popular and powerful software for programming and data analysis. This hands-on beginner session will introduce Python basics and its application in data analysis in the context of public policy using package Pandas.
Please bring your own laptop (Window or Mac) and install Anaconda (https://www.anaconda.com/download/ ) with the latest Python version before the session.
6 Apr (Mon) 2:30 p.m. – 4:30 p.m. Click to register (Postponed to Summer Session.)
Venue: Digital Scholarship Lab, G/F, University Library
Medium of Instruction: Cantonese (English might be used if users require.)