Winter School on Data Science Tools

Mon Feb 13 2023 at 11:30 am to 02:00 pm

eScience Institute | Seattle

UW eScience Institute
Publisher/HostUW eScience Institute
Winter School on Data Science Tools
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Course Description:

The University of Washington eScience Institute offers this winter school for policy, social and management scholars. T
About this Event

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.

Schedule:

Class 1: Monday, January 23rd (11:30 – 14:00)

Python and R: This class will give an overview of Python and R simple data structures in a comparative way (vectors, lists, dictionaries, tuples, sets, dataframes). This first session will focus on differences between these languages, and will help students with related procedures such as installation and environments, as well as user interfaces.


Class 2: Monday, January 30th (11:30 – 14:00)

Python and Jupyter: This class will give an overview of Python capabilities for different data management processes (collection, saving, and pre-processing). The output of the session will be a file to be imported into R for statistical work.


Class 3: Monday, February 6th (11:30 – 14:00)

R and RStudio/Posit: This class will introduce students to R programming language. It will focus on its capabilities for statistical computing and visualization..


Class 4: Monday, February 13th (11:30 – 14:00)

Reproducible Environments: This last class will organize the work done in the previous session. It will teach students how to combine R and tools like Latex/Markdown (for document preparation), Github (for organizing data repositories), Zotero (to manage references), and Zenodo (to create DOIs). All og these combined ensure a reproducible paper or blog post.

Office hours for this course: Mondays – January 27th, February 3th, February 10th (9 am – 12 pm)


Location:

eScience Institute WRF Data Science StudioPhysics Astronomy Tower, 6th Floor 3910 15th Ave NE Seattle, WA 98195

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 Winter School for 2024 is offered free of charge thanks to the support of the eScience Institute and its funding partners

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Event Venue & Nearby Stays

eScience Institute, 3910 15th Avenue Northeast, Seattle, United States

Tickets

USD 0.00

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