1B013(01734080): Data Analysis Tools and Practice (Spring 2018)

Description | Textbook | Schedule | Grading | Projects | References |

Time: Tuesday 8:30-11:30 am

Location: 3202, Teaching Building, DaXing

Class web site: https://huipingsun.github.io/da2018

Instructor: Huiping Sun (sunhp(at)ss.pku.edu.cn)

TA: Zhilai Mao

Course Description

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.

Course Textbook

Course Schedule

Date

Topics

Readings

February 27

00. Course Overview [Slides]

No

February 27

01. R Overview [Slides]

March 06

02. R Object I [Slides]

March 13

03. R Object II [Slides]

  • Textbook. Charpter 4: Basic Data Management.
  • Textbook. Charpter 5: Advanced Data Management.

March 20

04. R Language [Slides]

  • Textbook. Charpter 2.3: Data Input.
  • Textbook. Charpter 5.4: Control Flow.
  • Textbook. Charpter 5.5: User-written Functions.
  • Try R @ Code School

March 27

05. Course Wrap-up I [Slides]

No

April 03

06. R Graphics I [Slides]

  • Textbook. Charpter 3: Getting Started with Graphs.
  • Textbook. Charpter 6: Basic Graphs (6.1-6.3).
  • Hrishi V. Mittal. R Graphs Cookbook. Charpter 1: Basic Graph Functions. PACKET. 2011
  • Hrishi V. Mittal. R Graphs Cookbook. Charpter 2: Beyond Basics: Adjusting Key Parameters. PACKET. 2011

April 10

07. R Graphics II [Slides]

  • Hrishi V. Mittal. R Graphs Cookbook. Charpter 3, 4, 5, 6, 7. PACKET. 2011

April 17

08. ggplot2 I [Slides]

  • Textbook. Charpter 19: Advenced Graphics with ggplot2.
  • Hadley Wickham. ggplot2: Elegant Graphics for Data Analysis. Charpter 1-4. Springer. 2009
  • Winston Cbang. R Graphics Cookbook. O'RELLY. 2013

April 24

09. ggplot2 II [Slides]

  • Hadley Wickham. ggplot2. Elegant Graphics for Data Analysis. Charpter 4-7. Springer. 2009
  • Hrishi V. Mittal. R Graphs Cookbook. PACKET. 2011

May 08

10. Course Wrap-up II [Slides]

No

May 15

11. R Statistics I [Slides]

TBD

May 22

12. R Statistics II [Slides]

TBD

May 29

13. R Statistics III [Slides]

TBD

June 5

14. R Packages I [Slides]

TBD

June 12

15. R Packages II [Slides]

TBD

June 19

16. R Packages III [Slides]

TBD

Course Grading

The grading scheme is as follows:

Course Projects

Course References