Date/Time

Date(s) - 02/05/2021 - 02/19/2021
12:00 pm - 2:00 pm

Photo of Jose Manuel MagallanesDirector:
Jose Manuel Magallanes, PhD
Visiting Professor at Evans School of Public Policy and Governance
eScience Institute Senior Data Science Fellow
Professor and Director of the Social Complexity Lab (GICS), Pontificia Universidad Católica 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 submit applications is January 15th.

Schedule:
Class 1: Friday, February 5th (11:00 am – 2:00 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. The output of the session will be a file to be used in R for statistical work.

Class 2: Friday, February 12th (11:00 am – 2:00 pm)
R and RStudio: This class will introduce students to R programming language. It will focus on its capabilities for statistical computing and visualization.

Class 3: Friday, February 19th (11:00 am – 2:00 pm)
Reproducible Environments: This last class will organize the work done in the previous sessions. It 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 or blog post.

Office hours for this course:
Please email to make an appointment magajm@uw.edu

Notes:
Participants are required to attend all the Friday classes. Tutoring/office hours are optional.

There are no prerequisites to take this course. UW faculty, undergraduate students and graduate students are welcome to apply.

This 2021 Winter School is offered free of charge thanks to the support of the eScience Institute and its funding partners.

Winter School on Data Science Tools 2021

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Date/Time

Date(s) - 02/05/2021 - 02/19/2021
12:00 pm - 2:00 pm

Photo of Jose Manuel MagallanesDirector:
Jose Manuel Magallanes, PhD
Visiting Professor at Evans School of Public Policy and Governance
eScience Institute Senior Data Science Fellow
Professor and Director of the Social Complexity Lab (GICS), Pontificia Universidad Católica 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 submit applications is January 15th.

Schedule:
Class 1: Friday, February 5th (11:00 am – 2:00 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. The output of the session will be a file to be used in R for statistical work.

Class 2: Friday, February 12th (11:00 am – 2:00 pm)
R and RStudio: This class will introduce students to R programming language. It will focus on its capabilities for statistical computing and visualization.

Class 3: Friday, February 19th (11:00 am – 2:00 pm)
Reproducible Environments: This last class will organize the work done in the previous sessions. It 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 or blog post.

Office hours for this course:
Please email to make an appointment magajm@uw.edu

Notes:
Participants are required to attend all the Friday classes. Tutoring/office hours are optional.

There are no prerequisites to take this course. UW faculty, undergraduate students and graduate students are welcome to apply.

This 2021 Winter School is offered free of charge thanks to the support of the eScience Institute and its funding partners.