The University of Washington eScience Institute 2020 Winter School applications is now open! This free course is open to students and lecturers in Global/Public Health, Public Policy, Social Sciences, Social Work, International Relations and Business Management departments who are interested in developing basic skills and knowledge of the tools used in data science.
There are no prerequisites to take this course. Faculty, undergraduate students and graduate students are welcome to apply.
The deadline to apply is January 4th. Application decisions will be made by January 15th.
Questions, please email escienceadmin@uw.edu
Location
eScience Institute WRF Data Science Studio
3910 15th Ave NE
Seattle WA
98195
Director:
Jose Manuel Magallanes, PhD
Visiting Professor at Evans School of Public Policy and Governance
eScience Institute Senior Data Science Fellow
Director Public Policy Lab, Pontificia Universidad Catolica del Peru
Course Description:
The University of Washington eScience Institute offers this winter school for policy, social and management scholars. This course is open to students and lecturers in Global/Public Health, Public Policy, Social Sciences, Social Work, International Relations and Business Management departments who are interested in developing basic skills and knowledge of the tools used in data science.
There are no prerequisites to take this course and there is no credit offered. Faculty, undergraduate students and graduate students are welcome to apply.
Please apply here. The deadline to apply is January 4th. Application decisions will be made by January 15th.
Schedule:
Class 1: Friday, January 24th (9 am – 1:00 pm)
R and RStudio: This class will introduce students to R programming language. It will give an overview of the R data structures, mainly the data frame. The emphasis will be on the statistical capabilities of R, as well as its visualization tools.
Class 2: Friday, January 31st (9 am – 1:00 pm)
Python and Jupyter: This class will give an overview of Python simple data structures (list, tuple and dictionary). The emphasis will on the data cleaning and pre-processing capabilities, as well on some basic data scrapping.
Class 3: Friday, February 7th (9 am – 1:00 pm)
Reproducible Environments: This last class will teach students how to combine R and tools like Latex (for document management), Github (for organizing data repositories) and Zotero (to manage references) to prepare a reproducible paper.
Office hours for this course:
Mondays – January 27th, February 3rd, February 10th (9 am – 12 pm)
Notes:
* The school requests accepted participants to bring their own laptop.
* Participants are required to attend all the Friday/Saturday classes. Monday tutoring/office hours are optional.
This 2020 Winter School is offered free of charge thanks to the support of the eScience Institute and its funding partners.
