20 Lessons from Data Scientists - R Data Science Conference Summary

View all of the full length presentations here https://www.youtube.com/playlist?list=PL8ncIDIP_e6v1dV1xVacsH4qjuoPMMnDe or Get a quick data science talk summary in around 3 minutes. 4:02 https://youtu.be/ctUp7Az-axM?t=243 JJ Allaire Open Source Software for Data Science Lessons from a successful startup founder and ... How RStudio makes sure they're core software will always remain free and open source and why that matters. 11:08 https://youtu.be/ctUp7Az-axM?t=668 Jacquie Tran Data practices and data problems in performance sport 12:14 https://youtu.be/ctUp7Az-axM?t=734 Jayne Ihaka Chatbot analytics with R 13:42 https://youtu.be/ctUp7Az-axM?t=823 Harel Lustiger Data Tests: Separating between Data Sources and the Rest Why and how to make your data science work more robust by creating an extra layer between your analysis and database. 14:50 https://youtu.be/ctUp7Az-axM?t=891 Chris Wild iNZight: Capabilities, aims, audiences and ambitions How to create powerful visualizations in R without knowing code. 18:05 https://youtu.be/ctUp7Az-axM?t=1086 Victoria King I dream of gg(plot2): visualising sleep in pregnancy with R Data visualization lessons and techniques used sleep science 19:44 https://youtu.be/ctUp7Az-axM?t=1185 Caleb Moses Reproducible science at Dragonfly Tools to automate your data science workflow 20:44 https://youtu.be/ctUp7Az-axM?t=1245 Antony Southworth R in Production. Yes, really! Why and how to run R in production 23:49 https://youtu.be/ctUp7Az-axM?t=1430 John Graves How to be more productive as a Data Scientist 25:57 https://youtu.be/ctUp7Az-axM?t=1558 Harkanwal Singh The craft of data storytelling 29:07 https://youtu.be/ctUp7Az-axM?t=1747 Emma Vitz 30 Maps in 30 Days: The case for publishing first drafts How to learn and iterate fast 30:42 https://youtu.be/ctUp7Az-axM?t=1842 Aaron Schiff Making your own ggplot2 theme How to make your graphics themes in R for a consistent look and feel 32:19 https://youtu.be/ctUp7Az-axM?t=1939 Thomas Lumley DHBins: hexmaps for New Zealand A clever solution for solving the problem with geo-spatial map graphics 34:42 https://youtu.be/ctUp7Az-axM?t=2082 Anna Fergusson Five ways to make learnr even better for teaching How to deliver technical training to high school students in a fun, engaging and accessible way 36:16 https://youtu.be/ctUp7Az-axM?t=2176 Charlotte Jones-Todd Animating Statistical Theory Bringing statistics theory to life using animation 37:08 https://youtu.be/ctUp7Az-axM?t=2228 Jonathan Ng Former Excel User Trains 12,000 Students to Use R How to move from Excel to R and communicate data science to non data scientist 43:10 https://youtu.be/ctUp7Az-axM?t=2590 Simon Urbanek Scalable Collaborative Data Science using R 44:50 https://youtu.be/ctUp7Az-axM?t=2690 Tom Elliott iNZight: behind the scenes Techniques for building an R package 45:56 https://youtu.be/ctUp7Az-axM?t=2756 Zhuojia Dai Handling larger-than-RAM data with ease How to handle billions of records on laptop with disk.frame 51:33 https://youtu.be/ctUp7Az-axM?t=3094 Owen Flanagan What are people tweeting about Donald Trump How to setup the data science infrastructure using AWS and Docker to analyze Donald trump tweets