1B013: Data Analysis Tools and Practice (Spring 2021)

Time: Tuesday 14:00-17:00

Location: 3202, Teaching Building, DaXing

Class web site: https://huipingsun.github.io/da2021

Class live: No

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

TA: Meilin Lv

Date

Topics

Readings

March 9

00. Course Overview [Slides]

No

March 9

01. R Overview [Slides]

• Textbook. Charpter 1: Introduction to R.
• John Verzani. Getting Started with RStudio. O'Reilly. 2011
• W.N.Venables et al. An Introduction to R. 2016. Charpter 1, 13.

March 15

02. R Object I [Slides]

• Textbook. Charpter 3: Creating a Dataset.
• Textbook. Charpter 4: Basic Data Management.
• Textbook. Charpter 5: Advanced Data Management.
• W.N.Venables et al. An Introduction to R. 2016. Charpter 2, 3, 4, 5, 6.
• DataCamp Course: Introduction to R.[Homework]

March 16

03. R Object II [Slides]

• Textbook. Charpter 3: Creating a Dataset.
• Textbook. Charpter 4: Basic Data Management.
• Textbook. Charpter 5: Advanced Data Management.
• W.N.Venables et al. An Introduction to R. 2016. Charpter 2, 3, 4, 5, 6.
• DataCamp Course: Intermediate R.[Homework]
• DataCamp Course: Cleaning Data in R.[Homework]

March 16

04. R Language [Slides]

• Textbook. Charpter 2.3: Data Input.
• Textbook. Charpter 5.4: Control Flow.
• Textbook. Charpter 5.5: User-written Functions.
• DataCamp Course: Intermediate R - Practice.[Homework]

March 23

05. 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 1,2,3,4,5,6,7. PACKET. 2011
• DataCamp Course: Data Visualization in R.[Homework]

March 29

06. R Graphics II [Slides]

• Textbook. Charpter 3: Getting Started with Graphs.
• Textbook. Charpter 6: Basic Graphs (6.1-6.3).
• Hrishi V. Mittal. R Graphs Cookbook. Charpter 1,2,3,4,5,6,7. PACKET. 2011
• DataCamp Course: Visualizing Time Series Data in R .[Homework]

March 30

07. Data & Graphics WrapUp [Slides]

• DataCamp Course: Introduction to Importing Data in R .[Homework]

April 06

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
• DataCamp Course: Introduction to Data Visualtation with ggplot2 .[Homework]

April 12

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
• DataCamp Course: Intermediate Data Visualtation with ggplot2 .[Homework]

April 13

10. R Graphics Cookbook [Slides]

• Winston Chang. R Graphics Cookbook. O'reilly. 2021
• DataCamp Course: Visualtation Best Practice in R .[Homework]

April 19

11. Exercise & Quiz WrapUp-Online[Slides]

• DataCamp Course: Market Baseket Analysis in R .[Homework]

April 20

12. R Package:

[dplyr, tidyr, tidymodels, tidyquant, tidytext]

[jiebaR&wordcloud2, stringr&lubridate, svm&xgboost

No

May 04

13. R Statistics [Slides]

• Textbook. Charpter 7: Basic Statistics.
• Textbook. Charpter 8: Regression.
• Textbook. Charpter 14: Principal Components and Factor Analysis.

May 11

14. Credit Scoring I [Slides]

• Naeem Siddiqi. Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards. Wiely. 2017.

May 18

15. Credit Scoring II [Slides]

• Naeem Siddiqi. Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards. Wiely. 2017.

May 25

16. R Data Science I [Slides]

• Hadley Wickham & Garrett Grolemund. R for Data Science. O'REILLY. 2017.

June 01

17. RiA Other [Slides]

• Textbook. Charpter 9: Analysis of Variance.
• Textbook. Charpter 18: Advanced Methods for Missing Data.

June 08

18. R Data Science II [Slides]

• Hadley Wickham & Garrett Grolemund. R for Data Science. O'REILLY. 2017.

June 15

19. Course Summary [Slides]

No

June 22

20. Project Presentations [Slides]

TBD