Description | Textbook | Schedule | Grading | Projects | References | |
Time: Wednesday 14:00-17:00 Pm Location: 3205, Teaching Building, DaXing Class web site: https://huipingsun.github.io/da2017 |
Instructor: Huiping Sun (sunhp(at)ss.pku.edu.cn) TA: Xuwen Han |
This course will introduces the feature of data analysis with R and RStudio as well as common methods of data analysis based on combination of essential operation experiments and specific case experiments. It covers R and RStudio software, R programming language, R basic graphics methods, data management, data visualization with ggplot2, statical modeling and procedures, and others useful R packages. This course helps students improve the ability of conducting data analysis in related fields independently and finishing analysis report.
Date |
Topics |
Readings |
February 22 |
01. Course Overview [Slides] |
|
March 01 |
02. R Object I [Slides]] |
|
March 08 |
03. R Object II [Slides] |
|
March 15 |
04. R Language I [Slides] |
|
March 22 |
05. R Graphics I [Slides] |
|
March 29 |
06. R Graphics II [Slides] |
|
April 05 |
07. ggplot2 I [Slides] |
|
April 12 |
08. R Statistics I [Slides] |
|
April 19 |
09. R Statistics II [Slides] |
|
April 26 |
10. R Packages I: Time Series |
|
May 03 |
11. R Packages II: String, Word Segmentation, Crawler, etc. |
No |
May 10 |
12. ggplot2 II [Slides] |
|
May 17 |
13. R Packages III: |
No |
May 24 |
14. R Packages IV: |
No |
Mar 31 |
No |
|
June 7 |
16. Summary [Slides] |
No |
The grading scheme is as follows: