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<?xml version="1.0" encoding="utf-8" standalone="yes"?>
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<title>ASA DataFest@UofT on DataFest: COVID-19 Virtual Data Challenge</title>
<link>/</link>
<description>Recent content in ASA DataFest@UofT on DataFest: COVID-19 Virtual Data Challenge</description>
<generator>Hugo -- gohugo.io</generator>
<language>en-us</language>
<atom:link href="/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>Competition Details</title>
<link>/details.html</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>/details.html</guid>
<description>When is the competition? The competition is June 1 through June 14. All projects must be submitted by June 14, 2020 at 23:59 EDT.
Who is eligible to participate? Undergraduate students in a Statistical Sciences program of study or completed STA130 in Fall 2019/Winter 2020, and registered in the Independent Summer Statistics Community (ISSC) (open to all undergraduate students in Statistics programs at UofT).
To register for the ISSC fill out the form below access the form here.</description>
</item>
<item>
<title>DataFest Winners</title>
<link>/winners.html</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>/winners.html</guid>
<description>Gold: 🥇
Silver: 🥈
Honourable Mention: 🥉
Place Award Category Team Members Team Name Comments 🥇 Best in show Shirley Wang, Eva Huang Shirley Eva Excellent visualisation, modelling and scope. All around really professionally and thoughtfully done. 🥈 Best in show Amar Dholakia, Joshua Hug, Rachael Jaffe, Wendi Qu Bayes Gang Thoughfully addressed an important topic, set a good scope and produced an excellent dashboard that showed the story of their investigation.</description>
</item>
<item>
<title>Project Submission</title>
<link>/submit.html</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>/submit.html</guid>
<description>Project Submission Instructions Your team will submit your project using Github Classroom.
Each team member will need an acount on github.com. If you don't have one then sign up.
Visit https://classroom.github.com/g/Io3Edqa7 to accept the group assignment. You will be taken to a screen asking you to accept the group assignment.
If you are the first member of your team accepting the group assignment then create a new team using the team name that are using for DataFest.</description>
</item>
<item>
<title>Resources</title>
<link>/resources.html</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>/resources.html</guid>
<description>Technology resources Accessing software in the cloud RStudio Cloud: https://rstudio.cloud/
Google Colaboratory: https://colab.research.google.com/
Syzygy: https://utoronto.syzygy.ca/
Tableau:
Tableau Public: https://public.tableau.com/en-us/s Tableau Desktop - free student license: https://www.tableau.com/academic Code repository, version control, and collaboration GitHub: https://www.github.com
Gitlab: https://gitlab.com/
Happy Git with R: https://happygitwithr.com/
R Shiny resources: Deploy Shiny app on shinyapps.io: https://docs.rstudio.com/shinyapps.io/getting-started.html Shiny tutorials: https://shiny.rstudio.com/tutorial/ Statistical Computing RShiny Notes: Part I and Part II MyMedia You will host your videos or screen casts using MyMedia.</description>
</item>
<item>
<title>Sign up</title>
<link>/signup.html</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>/signup.html</guid>
<description>Sign up by May 24, 23:59 EDT The ASA DataFest: COVID-19 Virtual Data Challenge is a collaborative competition, so we strongly encourage you to work in a team to honor the spirit of the competition. If your current situation does not make it feasible for you to work on a team, you can still participate individually, although your work will not be evaluated by our judging panel.
To submit an application for your team to participate:</description>
</item>
<item>
<title>Sponsors</title>
<link>/sponsors.html</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>/sponsors.html</guid>
<description>We would like to thank our sponsors ASA DataFest@UofT: COVID-19 Data Challenge!
The Department of Statistical Sciences, University of Toronto initially formed as a graduate department in 1977, the Department of Statistics began operating as an independent department in 1979 under the inaugural chairmanship of Donald A.S. Fraser. The University of Toronto has many notable alumni that are great leaders in statistical sciences, including Art Dempster, Rudy Beran, David Brillinger, John Chambers, Steve Fienberg, Daryl Pregibon, Mary Thompson, Ross Prentice, Rob Tibshirani, and Larry Wasserman.</description>
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