Course materials

Introductory module

Objectives: set expectations; explore data science raison d’etre; introduce systems and design thinking; introduce software tools and collaborative coding; conduct exploratory/descriptive analysis of class background and interests.

Week 0

• Thursday meeting: Course orientation [slides]

• Assignments due by next class meeting:

  • install course software and create github account;

  • fill out intake form

  • read Peng and Parker (2022);

  • prepare a reading response

Week 1

• Tuesday meeting: On projects in(volving) data science [slides]

• Section meeting: software and technology overview [activity]

• Thursday meeting: basic GitHub actions [activity] [slides]

• Assignments due by next class meeting:

  • read MDSR 9.1 – 9.2

  • prepare a reading response

Week 2

• Tuesday meeting: Introducing class intake survey data [slides]

• Section meeting: tidyverse basics [activity]

• Thursday meeting: planning group work for analysis of survey data [slides]

• Assignments:

  • first team assignment due Sunday, October 19, 11:59 PM PST [accept via GH classroom here]

References

Peng, Roger D, and Hilary S Parker. 2022. “Perspective on Data Science.” Annual Review of Statistics and Its Application 9: 1–20.