2018-03-07 Hadley Wickham - You can't do data science in a GUI
Admission: Free, General Admission, open to the public
In this provocatively titled talk I'll attempt to convince you of the truth of four ideas central to my work:
Data science requires programming; a GUI does not provide the power necessary to tackle the creative challenges that data science requires.
There are huge advantages to code, particularly when you see it as a medium of communication.
R is a terrific environment for writing data analysis code. It has some quirky features as a programming language, but many of the quirks are well tailored to the problems of data science.
Code should be primary artefact of any analysis, but you might generate the code in ways apart from typing it on a keyboard.
Hadley Wickham is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, hadley.nz
Additional travel information
Loyola's web page about transportation: https://www.luc.edu/campustransportation/generalinformation/visitorsandguests/
Campus Map: (building #11) https://www.luc.edu/media/lucedu/pdfs-campusmaps/lsc.pdf
The Crown Center Auditorium is at the east end of Loyola Avenue. Just before getting to the building, turn south down the driveway along the west side of the building. The main entrance is on the south side of the building, not directly on Loyola Ave.
There will likely not be street parking in this area, you may use one of the two Loyola parking lots, cost is $7.
Public transportation is a good option. The Loyola Red Line CTA L stop is right on Loyola Ave, and several buses serve the area. (see the Loyola link above)
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