Welcome to MSMK7025: Algorithms, Big Data and Online Marketplaces!

Class A: Mon & Thu 09:30 - 12:30 (B4) Class Days: Dec 4, 7, 11, 14, 18, 21, Jan 4, 8, 11, 15
Class B: Mon & Thu 14:00 - 17:00 (B4) Class Days: Dec 4, 7, 11, 14, 18, 21, Jan 4, 8, 11, 15
Class C: Wed 9:30 - 12:30 and 14:00 - 17:00 (B4) Class Days: Dec 6, 13, 20, Jan 10, 17

Instructor: Xi Li

• You can download the software for the course here: R, R Studio and Tableau Public
• Note: When installing R/Rstudio, make sure your path does not contain any non-english letters. (安装路径必须为纯英文，否则运行会出错)
• If you have issues with the laptop version of R/RStudio, you can try the cloud platform here.
• No textbooks for the course.
• The order of presentation: Class A Class B Class C Sample presentation slides

Lecture 1: Introduction

Slides (With Answer Keys)

Lecture 2: Introduction to R

Note: Please get R and Tableau Public installed on your laptop and bring it with you.
Slides (With Answer Keys)
Teaching materials: A beginner’s guide to R
Troubleshooting for package installation: Here
Additional Tips for summarizing data (in Chinese): link Thanks our former student Sheng for sharing it!

Lecture 3: Data Visualization with Tableau

Note: Please get R and Tableau Public installed on your laptop and bring it with you.
Slides
Data files: Superstore Data, Movie Data Tableau Public Gallery
Example of Word Cloud: Word Cloud WordArt for generating Word Cloud: WordArt
Templates for Word Cloud: Lion Trump

Lecture 4: Beyond Linear Regression

Slides (With Answer Keys)

Lecture 5: Data Workshop

Note: Please get R installed on your laptop and bring it with you.
Slides (With Answer Keys)
Dataset: CSV
Sample Data Analysis with R: Sample

Lecture 6: Introduction to Data Scraping

Note: Please get R and Chrome browser installed on your laptop and bring it with you.
Slides (With Answer Keys)
Teaching materials: Scraper (HKU)
Scraper (Photo)

Lecture 7: Text Analysis

Note: Please get R installed on your laptop and bring it with you.
Slides (With Answer Keys)
Codes: word frequency and count, text analysis, topic models
A Chinese sentiment lexicon here
Demonstration of LDA. Data files: document and stopword

Lecture 8: Data Workshop II

Note: Please get R installed on your laptop and bring it with you.
Slides (With Answer Keys)
Teaching materials: Quadratic Regression, Interactions and Fixed Effects

Review Dataset: XLSX, CSV
Sample Data Analysis with R for online reviews: Sample

Property Dataset: Please access the online platform here
Note: If you see an error message, please try another browser.
Sample code for data analysis
General Information about property valuation in HK
User Manual for the online platform
Variable List

Lecture 9: Causality

Slides (With Answer Keys)

Lecture 10: Personalization and Recommendation

Slides (With Answer Keys)
Code: Collaborative Filtering