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

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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

Видео 20 Lessons from Data Scientists - R Data Science Conference Summary канала Jonathan Ng