DataFest is a data analysis competition where teams of up to five students have a weekend to attack a large, complex, and surprise dataset. \u00a0Work together with your team members and consult with mentors to find and communicate insights into these data. The teams that impress the judges the most will win prizes. Everyone else will have a great experience, learn some new skills, and have fun!<\/p>\n
DataFest is also a great opportunity to gain experience that employers are looking for. Having worked on a data analysis problem at this scale will certainly help make you\u00a0a good candidate for any position that involves analysis and critical thinking, and it will provide a concrete example to demonstrate your experience during interviews.<\/p>\n
DataFest<\/strong> runs from Friday evening to Sunday afternoon.\u00a0 For a detailed schedule, please visit our Schedule<\/a> page.<\/p>\n Who can participate? \u00a0<\/strong>Any Vassar student who is interested in working with data can register. If you are a student elsewhere and do not already have a faculty advisor who is in touch with us, please let us know and we can contact your school about participating. You do not need any previous data analysis experience! You and your team will come up with your own research question based on the dataset (which is large, complex, and a surprise!) and work to analyze and gain insights about the data.<\/p>\n DataFest across the United States<\/b>. \u00a0Read more about DataFest across the U.S. here.<\/a><\/p>\n Curious about past DataFest datasets? <\/strong>Follow this link<\/a>\u00a0to check them out.<\/p>\n Any questions?<\/strong>\u00a0 If you have questions, please contact the event organizers:<\/p>\n DataFest is a data analysis competition where teams of up to five students have a weekend to attack a large, complex, and surprise dataset. \u00a0Work together with your team members and consult with mentors to find and communicate insights into these data. The teams that impress the judges the most will win prizes. Everyone else … Continue reading About DataFest<\/span> \n