Chapter 2 Reproducible Research with R

Description

The first session begins with a presentation of the lesson plan. During this presentation, the lesson plan will be contextualized through a discussion of the programming approach versus the software approach and the importance of exposure to data science. The data revolution for business will be illustrated as well as the history and recent developments in data science. Presentation of the development tools used during the course (Tableau, R, RStudio, an instant messaging platform, a customized video conferencing platform for teamwork, etc.). Presentation of the international business field.

Concepts covered :

• 1 data science

• 2 international cases

• 3 automatic learning

Pre-Session Activities/Resources

• Tukey, John W. 1962. “The Future of Data Analysis.” The Annals of Mathematical Statistics 33 (1): 1-67. http://www.jstor.org/stable/2237638.

Session Activities/Resources

• Haas, Laura, Alfred Hero, and Robert A. Lue. 2019. “Highlights of the National Academies Report on”Undergraduate Data Science: Opportunities and Options“.” Harvard Data Science Review 1 (1). https://doi.org/10.1162/99608f92.38f16b68.

General Resources

• RStudio IDE Cheat Sheet

• R Markdown Cheat Sheet

• R Mardown reference Cheat Sheet