Kids Code Camp
Date: Jun 10, 2017 - Jun 10, 2017 Time: 9am - 5pm Location: Neumont University
We will be opening registration and announcing sessions very soon for this event. We are looking for speakers for this event. Please Email firstname.lastname@example.org if you are interested in speaking.
Date: Apr 20, 2017 - Apr 21, 2017 Time: 9am - 5pm Location: OC Tanner
1930 State Street, SLC, Utah
An [Array] of Ruby enthusiasts coming together in Salt Lake City on the beautiful OC Tanner campus to share our passion for creating awesomeness. We created a single-track conference with space for HACKing: collaboration, mentoring, white-boarding, meeting with presenters, or whatever makes sense between sessions!
Big Data Charrette
Date: Apr 21, 2017 - Apr 22, 2017 Time: 9am - 5pm Location: OC
The Data Charrette is a biannual service event in which professionals, students, and community members from a wide range of fields - computer science, data science, math and statistics, business, biology, public health, graphic design, and the social and behavioral sciences, among others - collaborate with local nonprofit service organizations on data analysis. Over the course of two days, they take the project through the complete data science cycle: obtaining data, scrubbing/manipulating data, exploring/visualizing data, modeling data, and interpreting the results of their analyses. At the end of the event, the nonprofit receives a complete analysis, all visualizations and code, and a template for continuing the work so they can continue to improve the services that they provide.
Big Mountain Data conference spring 2017
Date: May 13, 2017 - May 13, 2017 Time: 9:00am - 5:00pm Location: SLCC Miller Campus Karen gail Miller Conference Center 9750 300 W, Sandy, UT 84070
Spend a few weeks of your summer diving into the wide and wild world of data science. Join us for a unique opportunity to take a deep dive in a short few weeks to experience the many aspects of Data Science. Leverage your experience and skills and dive into many new areas of Data Science. Discover your new passion and apply it to your current projects