Workshop Description

This R programming workshop will cover some basics of R, including the following

Data visualization(s),
data.frame’s (and to build up to this, we will cover a few other data-types, e.g. List or vector’s)
Data manipulation (i.e. how to work efficiently with data.frame’s)

Workshop materials will include an appendix of slightly more advanced topics, e.g. how to aggregate and reshape data and also construct a linear model; these will not directly be covered in the live course, however.

About the Instructor

Andreas Santucci I am a computational mathematician, currently practicing Data Science and Engineering at Google and Lecturing at Stanford University. At Google, I work on YouTube recommendation algorithms and core statistical inference, and at Stanford I teach graduate students in STEM fields how to develop software in Python and C++. My research interests formerly lay at the intersection of causal inference and machine learning, but more recently I have been developing a passion for (deep) learning algorithms. In general, I strongly believe in leveraging AI for social good. I serve as a board member for the Society for Industrial and Applied Mathematics where I specialize in the education committee. I’ve been privileged to work closely under the guidance of Nobel Laureates on two separate occasions (Daniel McFadden and Guido Imbens).

My undergraduate curricula was spread across communications and economics. In graduate school, I pursued a skillset in computational and mathematical engineering at ICME, with an emphasis on Data Science. Whilst there, I passed Ph.D. qualifying exams in both Discrete Mathematics and Algorithms and also Stochastic Processes. I was advised on my M.S. thesis by Guido Imbens, now a Nobel Laureate.

Workshop Materials

Pre-workshop Checklist

Please download the workshop materials, hosted in a .pdf document on this website! Then, please go through the 2-pager background on “Setting Up R”.

Lastly, familiarize yourself with the schedule below.

Schedule

Session 1 Aug 3 (1:00 - 4:00 P.M. PST)

Data Visualization in R
Basics of R
15 minute Q&A

Session 2 Aug 4 (1:00 - 4:00 P.M. PST)

Data.frame’s
Manipulation of data

Additional Resources

Please see the enclosed appendix in the workshop materials.