We're down to single digits for the 2017 EARL London!

Next Tuesday's workshops only have limited places left, so if you had plans to attend, make sure you book now. For more information on the workshops available take a look here.

Wednesday and Thursday are shaping up to be two excellent days of presentations with keynotes: Tom Smith, Managing Director at the Office for National Statistics' Data Science Campus; Jenny Bryan, Software Engineer at RStudio; and Hilary Parker, Data Scientist at Stitch Fix. They'll be followed by talks from R users from almost every industry, including organisations like Microsoft, RStudio, the National Audit Office, IBM, Royal London, Bank of England, AstraZeneca, uSwitch and Telegraph Media Group.

Every year, the feedback we hear most from delegates at EARL is that they like being able to learn from their fellow R users' wins and experiences. They can see what R users from other industries are doing to solve problems in their organisations, and it can shed a fresh light on their own processes.

With so many brilliant talks to choose from, we surveyed the Mango team to see what they are most looking forward to:

Douglas Ashton - Senior Data Scientist:
I’m really looking forward to the whole session on reproducible data science. Matt Upson will show us what government are doing, Adnan Fiaz will show us what industry is doing, and David Smith will tell us how Microsoft are going to make it easier. Exciting stuff!

Adnan Fiaz - Data Scientist:
Two on my list are Simon Field's talk on developing data scientist super powers and Dan Carpenter's bat alert map. I think it's more likely I'll meet Batman. But, in all seriousness I think it will be really interesting to hear someone else's perspective on what data scientists (should) do and Dan's talk sounds absolutely fascinating.

Belinda Everitt - Sales Team:
I'm looking forward to James Lawrences's talk on reducing traffic deaths and serious injuries because it's an excellent example of using R to make the community safer.

Tim Vivian-Griffiths - Data Scientist:
The talks on using R for sentiment analysis on Twitter to predict stock prices and using Shiny to save money are top of my wish list. I come from a health background so I like hearing about real-world applications of how R and data science can deliver benefits to help drive down healthcare costs.

Beth Ashlee - Data Scientist:
Can't wait to hear Jenny Bryan and Hilary Parker! Both are very funny and I think they make R and data science more accessible topics.

Christina Halliday - Sales Team:
Mike Smith's talk is on my list. It's on a Shiny app dashboard Pfizer have created for investigating queue wait times. This topic relates to real world problems so it will be great to see how this kind of app can be used to investigate other real world issues.

Hannah Frick - Data Scientist:
The city and transport talks by Tim Paulden and Ashley Turner because I am curious how R and data science can help shape urban spaces.

Neil Forrest - Sales Team:
My fellow Neil, Mediacom's Neil Charles will be presenting on building Shiny apps in a large marketing agency. Data is once again driving the agenda in the marketing agency space so I'm keen to hear about his take on making the most of data when it comes to campaigns and marketing generally.

Nick Howlett - Data Scientist:
I'm passionate about using data science and R to impact on health and quality of life, so Dr Tim Paulden's talk is high on my list of must-sees. I'm also looking forward to Timothy Wong's talk on analyising high-frequency industrial component failure using text mining techniques as I have some background in industry.

Karina Marks - Data Scientist:
I'm looking forward to Joe Cheng talking about Shiny apps - I struggle with the reactiveness in Shiny apps sometimes, and a promising approach sounds good to me.

Owen Jones - Data Scientist:
As a young data scientist I'm very interested in what Dr Tim Paulden has to say about the positive influence we can have on society.

Don't miss out on these brilliant talks and many more, buy your ticket now!

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