ruilinlai / tutorial-material

Outline

week 1 (Sep 11)

1. Why coding?
2. Version Control, File Managamant and Project Managemant
3. Software/Packages installation (Anaconda/Jupyter Notebook/Python/Chrome Browser...)

week 2 (Sep 18)

4. Jupyter Notebook
   • Markdown Basics
   • HTML
   • Python Basics

week 3 (Sep 25)

5. Data collection (Web scraping)
   • HTTP
   • Requests: post/get
   • Cookies
   • IP
   • I'm NOT a robot (CAPTCHA)
   • Examples: scraping US patent records(http://patft.uspto.gov/) and scraping Hong Kong house transactions (https://data.28hse.com/en/)

week 4 (Oct 2)

6. Data Cleaning
   • pandas
   • regular expression
   • Data IO: json/pickle/mongodb/mysql/redis

week 5 (Oct 9)

7. Text data analysis: basic operations

week 6 (Oct 16)

8. Text data analysis: dictionary counts

week 7 (Oct 23)

9. Text data analysis: supervised learning

week 8 (Oct 30)

10. Network: basic operations

week 9 (Nov 6)

11. Networks: visualization

week 10 (Nov 13)

12. Networks: simulations

week 11 (Nov 20)

13. Networks: statistic

week 12 (Nov 27)

14. Online experiments