Advertise with Googlier.com QAC DataFest https://datafest.blogs.wesleyan.edu Fri, 26 Sep 2025 13:23:15 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.2 DataFest 2026! https://datafest.blogs.wesleyan.edu/2025/09/26/datafest-2026/ Fri, 26 Sep 2025 12:16:20 +0000 https://datafest.blogs.wesleyan.edu/?p=1215 Save the date for DataFest 2026 –  Friday, April 17 – Sunday, April 19, 2026.

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DataFest 2025 https://datafest.blogs.wesleyan.edu/2024/12/28/datafest-2025/ Sat, 28 Dec 2024 02:06:29 +0000 https://datafest.blogs.wesleyan.edu/?p=1185 The dates are set for 2025 DataFest.

This year – we will hold our event April 11-13, 2025.

Registration will open in February!

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DataFest 2024 wraps up! https://datafest.blogs.wesleyan.edu/2024/04/29/datafest-2024-wraps-up/ Mon, 29 Apr 2024 19:35:44 +0000 https://datafest.blogs.wesleyan.edu/?p=1147 Read more]]> What a wonderful weekend with some extraordinary students from across Connecticut and Massachusetts. A big thank you to our volunteer consultants and our judging panel. This was our biggest DataFest event yet, with 85 registered participants. We hope to see many returning faces next year.

And congratulations to our award-winning teams!

Best Data Story: Manolis’s Mavericks – Wesleyan University – Rishi Bhagat, Evan Wacks , and Ben Sheriff

Best Data Insight: Desirable Goats – Wesleyan University – Caleb Henning, Cheyenne McLaskey, Drew Olsen, and Priyanshu Pokhrel

Best Data Visualization: Team DataHuskies – University of Connecticut – Sana Gupta, Isabelle Perez, Lucy Liu, Mathew Chandy, and Joshua Lee

Best Data-Driven Recommendation: The Sticky Notes: Will Walsh, Tara Pandey, Kenny Mai, Brynne Barnard-Bahn, and Alena Chen

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Save the date! April 19-21, 2024 https://datafest.blogs.wesleyan.edu/2024/01/29/save-the-date-april-19-21-2024/ Mon, 29 Jan 2024 14:28:44 +0000 https://datafest.blogs.wesleyan.edu/?p=1111 Read more]]> SAVE THE DATE AND START FORMING TEAMS FOR

DataFest at Wesleyan University — April 19-21, 2024.

DataFest is a data analysis competition where students are presented with a large, complex, surprise data set and work over the weekend to explore, analyze, and present their findings.  Teams of 3-5 students work together and compete against other teams. This year we are inviting teams from Wesleyan University, Yale, Conn College, Trinity College, UConn, and Bentley University.

Registration will open soon!

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2023 Re-cap https://datafest.blogs.wesleyan.edu/2023/04/24/2023-re-cap/ Mon, 24 Apr 2023 23:33:01 +0000 https://datafest.blogs.wesleyan.edu/?p=1065 Read more]]> The 6th annual Wesleyan QAC DataFest concluded on Sunday with 55 participants, 20 revolving all-star statistical consultants, and an esteemed panel of 4 judges. We are full of gratitude for everyone’s energy and hard work this weekend. We hope to see you all again next year!

The Results

Honorable Mention: Connecticut College

Adithya Saranathan, Kersyn McBride, and Wenjie Wang

Best Statistical Insight: University of Connecticut (Team DataHuskies)

Sana Gupta, Mathew Chandy, Giovanni Lunetta, Hari Patchigolla, Shivaram Karandikar

Best Use of External Data: Bentley University

Chuyuan Xie, Sandhya Sangappa, Jazmine Fred, and Peter Brady

Best Data Story: Wesleyan University (Team Into the Tidyverse)

Calvin Gao, Edvin Tran Hoac, Emma Tuhabonye, Aaron Foote, and Ethan Brill-Cass

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Registration is OPEN for DataFest 2023 https://datafest.blogs.wesleyan.edu/2023/02/09/1005/ Thu, 09 Feb 2023 17:33:30 +0000 https://datafest.blogs.wesleyan.edu/?p=1005 Read more]]> April 21-23, 2023

DataFest is a data analysis competition where students are presented with a large, complex, surprise data set and work over the weekend to explore, analyze, and present their findings.  Teams of 3-5 students work together and compete against other teams. This year we are inviting teams from Wesleyan University, Yale, Conn College, Trinity College, UConn, and Bentley University.

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DataFest Returns in 2022! https://datafest.blogs.wesleyan.edu/2021/10/20/datafest-returns-in-2022/ Wed, 20 Oct 2021 14:09:20 +0000 https://datafest.blogs.wesleyan.edu/?p=953 Read more]]> SAVE THE DATE AND START FORMING TEAMS FOR

DataFest at Wesleyan University — April 22-24, 2022

DataFest is a data analysis competition where students are presented with a large, complex, surprise data set and work over the weekend to explore, analyze, and present their findings.  Teams of 3-5 students work together and compete against other teams. This year we are inviting teams from Wesleyan University, Yale, Conn College, Trinity College, UConn, and Bentley University.

We will be in touch next semester with registration information.

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DataFest 2020 is cancelled https://datafest.blogs.wesleyan.edu/2020/03/10/datafest-2020-is-cancelled/ Tue, 10 Mar 2020 18:18:21 +0000 http://datafest.blogs.wesleyan.edu/?p=911 Due to growing concerns about COVID-19, and increasingly restrictive regulations in Connecticut about conferences and large meetings, we have decided to cancel DataFest 2020. We will be back next year and look forward to seeing you all then.

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Registration now open for DataFest 2020! https://datafest.blogs.wesleyan.edu/2020/02/21/registration-now-open-for-datafest-2020/ Fri, 21 Feb 2020 17:22:24 +0000 http://datafest.blogs.wesleyan.edu/?p=903 Find a team and sign up in the Registration link above! Don’t have a team? Don’t worry we can help you find one.

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DataFest 2020 https://datafest.blogs.wesleyan.edu/2019/11/13/datafest-2020/ Wed, 13 Nov 2019 15:57:43 +0000 http://datafest.blogs.wesleyan.edu/?p=883 Read more]]> SAVE THE DATE AND START FORMING TEAMS FOR

DataFest at Wesleyan University — April 3-5, 2020

DataFest is a data analysis competition where students are presented with a large, complex, surprise data set and work over the weekend to explore, analyze, and present their findings.  Teams of 3-5 students work together and compete against other teams. This year we are inviting teams from Wesleyan University, Yale, Conn College, Trinity College, UConn, and Bentley University.

Awards will be given for the teams that impress the judges the most.

We will be in touch next semester with registration information.

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