Introduction

Author

Kevin Hu(胡华平)

Declaration

There will be a number of in-class assignments depending on the content and schedule of the course.

Everyone needs to complete the homework tasks according to the actual situation.

Note

Training philosophy : Open the “black box” based on the real-life and practical problems! A set of specific theory, an analysis case, a code script. Push the theory knowledge into the practice!

Suggested software :

  • (open source) R programming language

  • (open source) Python programming language

  • (commercial) Stata (MP 17.0 or above is recommended)

  • (Commercial) EViews (10.0 + recommended)

Note: I have use R programming language for many years, welcome to join my R world Rworld

R Learning

In R community, there are tons of free online materials, tutorials, and videos for R learning by yourself. I will list some famous and profound R learning books for the new R learners.

  • Wickham Hadley, R for data science[M]. second edition. Sebastopol, CA: Grolemund G. O’Reilly,2023. (Free online at https://r4ds.hadley.nz/.)

  • Wickham Hadley, Advanced R[M]. second edition. Boca Raton London New York: Chapman and Hall/CRC, 2019. (Free online at https://adv-r.hadley.nz/)

  • Crawley M. J. The R Book[M]. second edition. Chichester, West Sussex, UK: Wiley, 2012.

  • Adler Joseph. R in a Nutshell: A Desktop Quick Reference[M]. second edition. O’Reilly Media, 2012.