Event schedule

September 3rd

Day 1
Visualización estática e interactiva de datos usando ggplot2 y plotly
ES
  • Natalia da Silva Natalia da Silva (PhD, Iowa State University) is an Assistant Professor in the Department of Statistics of the University of the Republic in Montevideo (UDELAR-IESTA). She works in research on supervised learning methods, prediction, analysis of exploratory data and statistical graphs in collaboration with Di Cook and Heike Hofmann. She is co-founder of R-Ladies Ames and R-Ladies Montevideo and Chair of LatinR2018.

Inteligencia Artificial con R: Introducción al “Deep Learning”
ES
  • Andrés Farrall Specialist in topics related to Data Science. He is currently responsible for the Ecoclimasol Methodological Area and Postgraduate Professor at the Faculty of Exact and Natural Sciences (UBA).

How to repeat yourself with purrr
EN
  • Jenny Bryan Jennifer Bryan (PhD, UC Berkeley) is a Software Engineer at RStudio and Associate Professor at the University of British Columbia. She is an internationally recognized reference of the R community and an Ordinary Member of the R Foundation and part of the rOpenSci Leadership Committee.

September 4th

Day 2
Poster session
Oral Presentations
Teaching R (and more) in the Era of Data Science
EN
  • Jenny Bryan Jennifer Bryan (PhD, UC Berkeley) is a Software Engineer at RStudio and Associate Professor at the University of British Columbia. She is an internationally recognized reference of the R community and an Ordinary Member of the R Foundation and part of the rOpenSci Leadership Committee.

September 5th

Day 3
Oral Presentations
Aprendiendo a computar vs computar para aprender: hacia una nueva forma de enseñar y aprender estadística
ES
  • Walter Sosa Escudero CONICET Principal Investigator
    Professor and Director of the Economics department - Universidad de San Andrés
    TEDxRiodelaPlata
    Author of What is (and what is not) statistics? and The dark side of econometrics