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UID:10@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20230123T113000
DTEND;TZID=America/Los_Angeles:20230213T140000
DTSTAMP:20221215T191833Z
URL:https://escience.washington.edu/events/winter-school-2023-data-science
 -tools/
SUMMARY:Winter School 2023: Data Science Tools
DESCRIPTION:\n\n\n\nDirector:\nJose Manuel Magallanes\, PhD\n\n 	Visiting P
 rofessor at Evans School of Public Policy and Governance\neScience Institu
 te Senior Data Science Fellow\n 	Professor of Political Science and Govern
 ment at Pontificia Universidad Católica del Peru (PUCP).\n 	Director of t
 he Institute for Social Analytics and Strategic Intelligence (PULSO PUCP)\
 n 	Professor and Head of the Interdisciplinary Group for Public Policy For
 esight (GI3P)\,\n\nCourse Description:\nThe University of Washington eScie
 nce Institute offers this winter school to students and lecturers in Globa
 l/Public Health\, Public Policy\, Social Sciences\, Social Work\, Internat
 ional Relations and Business Management  who are interested in developing
  basic skills and knowledge of the tools used in data science.\n\nThere ar
 e no prerequisites to take this course and there is no credit offered. Fac
 ulty\, undergraduate students and graduate students are welcome to apply.\
 n\nThe deadline to submit applications is January 18th.\n\n\n\nClick her
 e to apply\n\n\n\n&nbsp\;\n\nSchedule:\n\n\nClass 1: Monday\, January 23r
 d (11:30 – 2:00)\nPython and R: This class will give an overview of Pyth
 on and R simple data structures in a comparative way (vectors\, lists\, di
 ctionaries\, tuples\, sets\, dataframes). This first session will  focus 
 on differences between these languages\, and will help students with relat
 ed procedures such as installation and environments\, as well as user inte
 rfaces.\n\nClass 2: Monday\, January 30th (11:30 – 2:00)\nPython and Jup
 yter: This class will give an overview of Python capabilities for differen
 t data management processes (collection\, saving\, and  pre-processing). 
 The output of the session will be a file to be imported into R for statist
 ical work.\n\nClass 3: Monday\, February 6th (11:30 – 2:00)\nR and RStud
 io/Posit: This class will introduce students to R programming language. I
 t will focus on its capabilities for statistical computing and visualizati
 on..\n\nClass 4: Monday\, February 13th (11:30 – 2:00)\nReproducible Env
 ironments: This last class will organize the work done in the previous se
 ssion. It will teach students how to combine R and tools like Latex/Markdo
 wn (for document preparation)\, Github (for organizing data repositories)\
 ,  Zotero (to manage references)\, and Zenodo (to create DOIs). All og th
 ese combined ensure  a reproducible paper or blog post.\n\n&nbsp\;\n\nOff
 ice hours for this course:\nPlease email to make an appointment magajm@uw
 .edu\n\nNote:\nClasses are offered at the eScience Studio\, there is no vi
 rtual participation. However\, tutoring/office hours can be virtually.\n\n
 This 2023 Winter School is offered free of charge thanks to the support of
  the eScience Institute and its funding partners. Professor Magallanes ack
 nowledges the material has been developed thanks to his visiting at eScie
 nce and Evans School at UW\, and to the work he develops at GI3P.\n\n\
 n\n\n\n\n
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