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Analytics>Forward 2018 was March 10, 2018

Session 1: 9:30am - 10:20am

  • Determining Cause and Effect from Observational Data (Amy Nail) pptx with notes, pdf

  • A Day in the Life of an Analyst (Walt DeGrange)

  • Visualization Prototyping with Plot.ly (Daniel Arneman) github

  • Is Affordable Housing Affecting Property Values (Zeydy Ortiz)

Session 2: 10:25am - 11:15am

  • How to Learn Data Science and Anything Else (Mark Hutchinson) github

  • Bad Statistician (Melinda Thielbar)

  • Shallow Learning - A Deep Learning Primer (Dan Kelly)

  • Traumatic Brain Injury with Predictive Modeling and Machine Learning (Cyrus Elahi)

Session 3: 11:20am - 12:10pm

  • Machine Learning - A New Approach (Mike Gilman)

  • Discovering Activities from Sensors (Scott Gerard)

  • Feature Generation - Transactions and Networks (Dan Kelly)

  • Cloud Platform Patterns for Machine Learning and Data Science (Michael North)

Keynote: 1:30pm - 2:30pm

Session 4: 2:40pm - 3:30pm

  • Interior Positioning Systems (Alice Broadhead)

  • Too Many Bars (Xan Gregg)

  • Statistics for Non-Statisticians (Gerald Belton) slideshare

  • dplyr Tutorial (Ian Cook)

Session 5: 3:50pm - 4:40pm

  • How to Fail at Data Science (Ujval Kamath)

  • Web Scraping with R (Aaron Sterns)

  • rduflights17 - Update and Localize an R package (Ian Cook) github

  • AI Mammography Multivariate Analysis (Olajide Ajayi) pdf

Analytics Forward 2018 was sponsored by:

Platinum Sponsors:

Gold Sponsors​:

Supporting Sponsor: