Date/Time

Date(s) - 02/04/2022 - 02/18/2022
9:00 am - 12:00 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 of Political Science and Government at Pontificia Universidad Católica del Peru (PUCP).
  • Director of the Institute for Social Analytics and Strategic Intelligence (PULSO PUCP)
  • Professor and Head of the Interdisciplinary Group for Public Policy Foresight (GI3P),

Course Description:
The University of Washington eScience Institute offers this winter school to students and lecturers in Global/Public Health, Public Policy, Social Sciences, Social Work, International Relations and Business Management  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.

The deadline to submit applications is January 26th.

Schedule:
Class 1: Friday, February 4th (9:00 am – 12:00 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 11th (9:00 am – 12:00 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 18th (9:00 am – 12:00 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.

Click here to register

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

Notes on COVID-19:
Classes are offered in the EScience Studio, but students can attend online if they feel more comfortable. Face-to-face participation is encouraged to participants with NO previous exposure to the topics. Tutoring/office hours are optional.

This 2022 Winter School is offered free of charge thanks to the support of the eScience Institute and its funding partners. Professor Magallanes acknowledges the material has been developed thanks to his visiting at eScience and Evans School at UW, and to the work he develops at GI3P.

Winter School on Data Science Tools 2022

­

Date/Time

Date(s) - 02/04/2022 - 02/18/2022
9:00 am - 12:00 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 of Political Science and Government at Pontificia Universidad Católica del Peru (PUCP).
  • Director of the Institute for Social Analytics and Strategic Intelligence (PULSO PUCP)
  • Professor and Head of the Interdisciplinary Group for Public Policy Foresight (GI3P),

Course Description:
The University of Washington eScience Institute offers this winter school to students and lecturers in Global/Public Health, Public Policy, Social Sciences, Social Work, International Relations and Business Management  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.

The deadline to submit applications is January 26th.

Schedule:
Class 1: Friday, February 4th (9:00 am – 12:00 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 11th (9:00 am – 12:00 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 18th (9:00 am – 12:00 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.

Click here to register

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

Notes on COVID-19:
Classes are offered in the EScience Studio, but students can attend online if they feel more comfortable. Face-to-face participation is encouraged to participants with NO previous exposure to the topics. Tutoring/office hours are optional.

This 2022 Winter School is offered free of charge thanks to the support of the eScience Institute and its funding partners. Professor Magallanes acknowledges the material has been developed thanks to his visiting at eScience and Evans School at UW, and to the work he develops at GI3P.