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To celebrate EARL taking place this September we launched a competition to win a free online training course and the competition closes today at midnight – Submit your competition entry here.

You have the chance to win a 2-day training course for you and up to 9 other attendees from your company. The winner can select either ‘Intro the R for analytics’ or ‘Intro to Python for analytics’. The workshop will be delivered online on UK time – so you can enter from any location!

To enter you just need to complete this form and answer a few questions about you and your team. The closing date is the 30th of September 2021, the winner will be contacted in early October. Please read the full terms and conditions here.

 

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Thank you to everyone who joined us for EARL 2021 – especially to all of the fantastic presenters! We were pleased to receive lots of really positive feedback from the online event and there are plenty of highlights to share.

Branka Subotic, NATS

It was great to kick off EARL 2021 with our first keynote of the day from Branka. She has worked for NATS since 2018 and is currently their Director of Analytics. Branka shared with us interesting ways to help teams to work together and also some unusual ways to upskill! Her talk was peppered with some videos showing us flight data and the impacts of Covid.

Chris Beeley, NHS – Stronger together, making healthcare open- building the NHS-R Community

We are always delighted to hear from the NHS at the EARL Conference and this year was no exception. We were treated to a passionate talk from Chris on how the NHS-R community has been built up over the years and how their conference has gone from strength to strength. We all know how supportive the R community can be, so it is great to see this in action.

Amit Kohli – Introduction to network analysis

Amit gave us an introduction to the principles of network analysis and shared several use-cases demonstrating their unique powers. Amit also included a fun way to interact with his talk with the use of a QR code  – we can always rely on Amit to entertain us! Our team thought it was a really interesting topic and it felt accessible to those who perhaps don’t know much on the subject.

Emily Riederer, Capital One – How to make R packages part of your team

We loved Emily’s fun concept of making R packages a real part of your team and her use of code, and the choices she made along the way. Her talk examined how internal R packages can drive the most value for their organisation when they embrace an organisation’s context, as opposed to open source packages which thrive with increasing abstraction. Read our interview with Emily here.

Dr. Jacqueline Nolis, Saturn Cloud

We closed the day with our final keynote talk from Jacqueline Nolis. She is a data science leader with over 15 years of experience in managing data science teams and projects, at companies ranging from DSW to Airbnb. She currently is the Head of Data Science at Saturn Cloud where she helps design products for data scientists. Jacqueline spoke to us about taking risks in your career and shared with us the various risks she has taken over her career and how they went! It was inspiring to hear from an experienced data scientist that it’s ok to take a risk every now and then  – and refreshing to hear her honesty about what could have gone better – and how she has ultimately learned and grown from this.

These are just a few of the brilliant talks from a fantastic conference day. It was a delight to have speakers and attendees joining us from across the world – so thank you again to all that came along.

We are hoping to be back in London next year to host EARL in-person again. We are tentatively holding the 6th-8th of September 2022 as our conference dates. If you’d like to keep up-to-date on all things EARL please join our mailing list. We will open the call for abstracts in January 2022.

 

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The Quick Version

Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organisers.

The Less Quick Version

Harassment includes offensive verbal comments related to gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion, technology choices, sexual images in public spaces, deliberate intimidation, stalking, following, harassing photography or recording, sustained disruption of talks or other events, inappropriate physical contact, and unwelcome sexual attention.

Participants asked to stop any harassing behaviour are expected to comply immediately.

If a participant engages in harassing behaviour, the conference organisers may take any action they deem appropriate, including warning the offender or expulsion from the conference with no refund.

If you are being harassed, notice that someone else is being harassed, or have any other concerns, please contact a member of conference staff immediately.

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We are launching a competition to celebrate the Enterprise Applications of the R Language Conference taking place from the 6-10th of September 2021.

You have the chance to win a 2-day training course for you and up to 9 other attendees from your company. The winner can select either ‘Intro the R for analytics’ or ‘Intro to Python for analytics’. The workshop will be delivered online on UK time – so you can enter from any location!

To enter you just need to complete this form and answer a few questions about you and your team. The closing date is the 30th of September 2021, the winner will be contacted in early October. Please read the full terms and conditions here.

EARL is a cross-sector conference focusing on the commercial use of the R programming language. The conference is dedicated to the real-world usage of R with some of the world’s leading practitioners. If you use R in your organisation, the EARL Conference is for you and your team. Whether you’re coding, wrangling data, leading a team of R users, or making data-driven decisions, EARL offers insights you can action in your company.

This year there are four online workshops you can join for £90 each and also a final day full of presentations on using R in enterprise, which is just £9.99.

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The opening keynote at the Enterprise Applications of the R Language Conference presentation day will be Dr Branka Subotić. Branka has over 15 years of experience in the aviation industry and she has worked for NATS for 12+ years. Branka will be joining Jacqueline Nolis as our second keynote speaker at EARL. The presentation day will run on Friday the 10th of September all-day – tickets to this event are just £9.99!

Branka made her start as the Senior/Principal Human Factors Specialist at the Directorate of Safety, working mostly on the implementation of the new enroute electronic system for air traffic control (iFACTS) into live operation at Swanwick Area Control (the UK’s largest air traffic control centre).

In November 2018, Branka joined the CIO team to lead the development and implementation of the enterprise-wide Data Strategy for NATS; working with a range of colleagues from across the business. This led to Branka becoming Director of Analytics, leading a team of 80+ analysts including a Data Science team focused on the implementation of advanced analytics and AI/ML. Branka’s analytics team is responsible for enhanced data-driven customer insights, tools, and services. The team brings together the data analytics functions and delivers insight and data-driven solutions to NATS operation, corporate functions, and customers around the world.

Branka holds a PhD in air traffic management from Imperial College London (UK), MSc in aeronautical science from Embry Riddle Aeronautical University (USA) and MEng in air transport engineering from the University of Belgrade (Serbia). She is also a Chartered Engineer.

And if you needed any more information, Branka is from Belgrade (Serbia) and has been living in few countries – Bosnia, France, USA, Germany and the UK!

Join other Rstat users and find how out other people are using R in enterprise – get EARL tickets today and get inspired!

 

 

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WHAT IS EARL?

The Enterprise Applications of the R Language Conference (EARL) is a cross-sector conference focusing on the commercial use of the R programming language. The conference is dedicated to the real-world usage of R with some of the world’s leading practitioners.

WHO IS IT FOR?

If you use R in your organisation, the EARL Conference is for you and your team. Whether you’re coding, wrangling data, leading a team of R users, or making data-driven decisions, EARL offers insights you can action in your company.

WHERE IS EARL THIS YEAR?

We are back online from 6th-10th of September. EARL will be hosted on ‘Big Marker’ – event software that does not require any downloading, you simply join with a link. All of the EARL sessions will be recorded and sent out to ticket holders after the event.

WHY SHOULD YOU ATTEND?

  1. To hear from fellow Rstats users – you might have been working from home for the past year like so many of us, or perhaps you’re the only Data Scientist in your team or haven’t had time to chat with others as much. EARL is a great opportunity to find out how others are solving enterprise issues with R and to get ideas to take back to your team or work.
  2. Network – we know it’s not the same as having a cold glass of Pimms overlooking Tower Bridge, but you can chat to fellow Rstats fans while at home in your most comfortable leisurewear! You can talk to other attendees on the conference chat or send a private message to someone you have burning questions for! EARL online attracts an even more varied attendance list, with people joining from across the globe.
  3. You don’t need to travel – though I’m sure many of us are desperate to travel anywhere right now, you can join EARL from wherever is most convenient and comfortable for you. And if you don’t need to persuade your boss to pay for travel and accommodation, perhaps more of your team can come along!
  4. Cheaper tickets – as the conference is online, we simply just don’t have as many overheads for this event when compared to our usual in-person event and that means we can make the tickets a lot cheaper. The online half-day workshops are priced at £90, whereas in-person they would normally be £200. The final Friday presentation day session is only £9.99, which we hope will make EARL even more accessible.
  5. Learn a new skill – there will be four workshops you can join at EARL this year. All of the workshops will run from 2pm-5pm (BST) and will be recorded and sent out to ticket holders to watch again at their leisure! Maybe you want to learn what Shiny apps can do for you,  how to develop a package in R, how to use Purr for functional programming or how to web scrape and text mine. All the workshops will be taught by Mango’s expert Data Scientists who will be happy to answer any questions you have.
  6. Be charitable – last year we donated EARL Conference profits to Data For Black Lives, this year we have chosen DataKind UK as our charity of the year to support. DataKind UK are a brilliant organisation that help social change orgs and charities use Data Science. So feel good knowing your ticket purchase will go towards helping people.
  7. Get inspired and energised – taking a break from work is good, you don’t need us to convince you of that. But taking the day or afternoon for you and your personal development can be hugely beneficial. You will always leave EARL with new ideas and ways to work. If you’re a team leader, EARL is a great opportunity to grow as a team, once you’ve attended the conference your team can share what they have learnt and can apply it at work.
  8. Start planning your talk for EARL London 2022! We are planning for EARL 2022 to be an in-person event again, in London next year – so start planning your abstract submission after watching Friday’s presentation day and share your work!

There is now less than a month until EARL online 2021 – so grab your tickets now and don’t miss out!

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Terms and conditions for the ‘win a course competition to celebrate EARL in September’

We are offering the chance to win either ‘Introduction to R for Analytics’ or ‘Introduction to Python for Analytics’ to celebrate the Enterprise of the Applications of R Language Conference (EARL) taking place in September 2021.

To win, simply complete this form by the 30th September 2021 at midnight UK time. The winner will be selected by a committee of four Data Scientists from the Mango Solutions team and an independent judge.

  • The competition will start on 27th August at 8.00am UK time
  • The entire form must be completed to be a valid entry (entries that are not fully completed will be void)
  • Anyone working in data can enter – the prize is only for yourself and colleagues from the same company
  • One entry per person
  • Only one winner will be chosen
  • Entry to the competition is free
  • The closing date is 30th September 2021 midnight UK time
  • The winner will be selected by 8th October 2021
  • The winner will be chosen by a panel of 4 members of the Mango Solutions team, their names are available on request and one independent non- Mango judge
  • The judging panel will judge on the answers given
  • The prize is either ‘Introduction to R for Analytics’ or ‘Introduction to Python for Analytics’ free course which both are 2-day long courses
  • The winner will be notified by email
  • The course will be delivered online only and to a minimum of 5 people and a maximum of 10 people from the same company
  • The course will be delivered live, in a private session by one of our experienced Data Consultants
  • There will be a 3 month allocation period to agree on the delivery date from January 2022 until March 2022, the prize must be delivered by 31st March midnight 2022
  • The prize does not include any additional costs and expenses
  • Standard Mango training T&Cs must be signed
  • We will use the personal information you provide to administer the competition and contact the winner
  • The surname and county of the winner will be made available on request
  • Please let us know before the closing date if we cannot name you publicly as the winner
  • The winner may be asked to take part in publicity
  • The courses are non-transferable and there is no alternative prize
  • Employees of Mango solutions/ Ascent and their immediate families are ineligible to enter this competition
  •  The terms and conditions are under the laws of England and the jurisdiction of the English courts
  • The competition is not sponsored endorsed administered by or associated with Linkedin or Twitter

Judging Criteria

The judging criteria will be based on your answers in the submission under the core headings. Mango will review every nomination and assess the need for upskilling:

Data team – it would be helpful to understand more about your team, the roles & responsibilities and types of skill sets across the team

Analytic objectives – what are your team objectives for your data remit and how do they align to the overall business goals?

Team maturity – How would you define your team maturity – you might want to consider in terms so the team, stakeholder relations and goals

Skill gaps – what are the primary skills in the team, how do these align to your key goals and what are the perceived gaps?

Justification for training  – why are your team worthy of winning?

Prize course overviews:

Introduction to R for Analytics

This two day introduction to R focuses on getting started with common data tasks. By the end of this course, attendees will be confident in how they can import data, perform common manipulation tasks and visualise data. Along the way they will be introduced to a variety of data types including dates and categorical data. This course will be taught using the popular tidyverse set of packages and is ideal for those new to R who want to quickly get started with analytics in R.

Prerequisites – No prior knowledge of R, or programming, is assumed.

DSR Trait: Programmer

Duration: 2 Days

Level: Breakthrough

Introduction to Python for Analytics

This two day introduction to Python focuses on getting started with common data tasks. By the end of this course, attendees will be confident in how they can import data, perform common manipulation tasks and visualise data. Along the way they will be introduced to a variety of data types including dates and categorical data.

Prerequisites – No prior knowledge of R, or programming, is assumed.

DSR Trait: Programmer

Duration: 2 Days

Level: Breakthrough

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We caught up with Emily Riederer ahead of her presentation at the upcoming Enterprise Applications of the R Language Conference taking place online in September and asked her a few questions…

Hi Emily! So your talk at EARL is called ‘How to make R packages part of your team’, why is it so important to have a coherent internal ecosystem?

There are two reasons in my mind why I get excited about this. First is the most basic level, and the reason I got to thinking about it was as a pure efficiency play – it makes it so you can get the easy part of your job done and you can then look at the harder and more interesting complex parts. It makes work faster and more fun.

More holistically, I’ve realised that having a really solid internal ecosystem can actually be an amazing community building device. We are so lucky to have the external R Community, so having that structure to build off from, really helps to build a similar culture internally.

What problems could you run into if you didn’t have an internal ecosystem set up?

There can be a lot of inefficiencies in people solving similar problems in different ways and using different terms to describe their problems. I think that often large companies have silos – whether that’s a data silo or the structure of data teams. Using different tools can put us in boxes that we perhaps don’t need to be in.

Why do you think the R community is so special?

That’s a tough question! I think there are a couple of things that make it special – especially because R is a unique language – and I think it attracts a certain type of person. If you’re really passionate about R, you’re probably very curious about answering questions with data and maybe came to programming as your second choice – not your first. It’s an interesting group of people that are bound by similar challenges. Also thinking about the R community versus other tech communities, I think we have great informal leadership at the top, that really emphasises the importance of being inclusive and making space for newcomers. Other communities are defined by their ‘stars’ whereas we are lucky to have the whole community on board.

What can people expect to leave your talk knowing?

I hope that I can inspire the audience to think a little more critically and holistically about bringing internal packages into their own organisation in a couple of different ways.  If they haven’t thought about it before, I’d like to spark some curiosity – could this work for their teams? I have also learned some hard lessons through trial and error, and for those who have started their journey, I hope I can lay out a more formal structure for them to follow. I want to help them to be able to succeed – we have many great external R packages too, and you don’t want to steal the limelight from those. It’s about finding the right balancing act of using internal packages and using them to solve the unique challenges where nothing can work.

Are there any developments in the Rstats world or are there any things that are on your list to try or learn?

Where do I start! That’s a good question. A couple of things that come to mind for me is the phenomenal interoperability work that is going on right now –  better integration with R and Python and reticulate (even in the tidymodels space) making it equally easy to have one unified interface to hook up the many different back ends of different R packages to a common framework. I think that’s another interesting challenge with internal R packages, you definitely have to find good ways to recruit teams that are mostly Python people or mostly Microsoft Office people. So I think in the internal enterprise setting, all of the interoperability work is super exciting to me because it means we can go places and talk to people that we couldn’t have talked to before.

You can hear from Emily and a host of other Rstats users at this year’s EARL online Conference – tickets for the Friday session are just £9.99.

There are also four workshops in the week leading up to the Friday session – each workshop is taught by one of Mango’s expert Data Scientists and it is £90 for a half-day workshop.

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We are proud of the speaker lineup we have at this year’s online Enterprise Applications of the R Language Conference and we are delighted to share that Jacqueline Nolis will be joining us as keynote presenter on Friday 10th September.

Dr. Jacqueline Nolis is a data science leader with over 15 years of experience in managing data science teams and projects at companies ranging from DSW to Airbnb. She currently is the Head of Data Science at Saturn Cloud where she helps design products for data scientists. Jacqueline has a PhD in Industrial Engineering and coauthored the book Build a Career in Data Science. For fun, she likes to use data science for humour—like using deep learning to generate offensive license plates. Which to us sounds like an incredible way to use deep learning!

Tickets are now on sale for EARL online 2021 – to watch Dr. Jacqueline’s keynote and a whole host of other talks on how people are using rstats in real-world situations it is £9.99 for a ticket to Friday’s presentation session.

Also at EARL online, we are hosting four workshops – all are 2-5pm UK time and £90 each.

  • Introduction to Shiny
  • Package Development in R
  • Functional Programming with Purrr
  • Web Scraping and Text Mining Lyrics in R
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Today we caught up with Andrew Little and Daniel de Bortoli who will be teaching the ‘Web Scraping and Text Mining Lyrics in R‘ workshop at EARL on the 9th of September.  We spoke about their careers and lives at Mango and what their dream workshop would look like…

Hi both! Thank you for talking to me today, I’d love to know some more details about your lives at Mango and how your career has led you to this point?

Daniel – I’ve been a Data Scientist at Mango for around a year, prior to Mango I was a researcher in the mechanical engineering sector until deciding that I wanted to move away from academia, and data science always seemed like an exciting and interesting area. I was interested in solving more practical problems, but still having intellectually challenging and interesting work. Since joining Mango, I’ve done lots of consulting and training projects and more recently I’ve been working on a revenue optimisation project.

Andrew – I’m a Junior Data Scientist at Mango – I’ve been here for two years now. I came straight from university so this is the first step in my career, I believe I was part of the first graduate intake that Mango did. I’ve done lots of training in my time here and a decent amount of consultancy projects too. Currently, I’m doing lots of work on helping teams move from one programming language to R, so I’m showing them the best way to work in R.

You’re hosting a workshop on web scraping, why do you think this is a useful skill for Data Scientists?

Andrew – There are many situations where you have data given to you and it’s just available, but perhaps when you try and do something more exciting or nuanced often there is no data and you need to get that yourself. So it’s a way that you can use the ridiculous vastness of the internet to get freely available data that you can then use.

Daniel – No matter what you’re interested in, if it is on the internet you can collect your own data. That’s the power of it.

What can people expect to leave the workshop knowing?

Daniel – Having a full end-to-end view of a modern workflow, so working with text data in R. From collecting – web scraping – to processing it, cleaning it, and looking at many of the common modeling approaches or common tasks with text data. All the way to generating some interesting outputs. We chose lyrics to work with, as they’re not too niche and most people are interested in music!

What would your dream workshop be?

Andrew – Personally for me there are two main areas I’m interested in, one is the workshop we’re actually teaching – so that’s good!

Daniel – So you’re saying we created your dream workshop?

Andrew – You’re right actually, yes! So either this or I’m quite interested in computer vision as well. That’s something you don’t see too much on, as it’s quite a new area. Anything that is seen as cutting edge I am interested in and not just standard statistical analysis. For example when you’re using data to build AI that actually feels like AI – so it’s doing something like a human would do, like reading text documents or processing images.

Daniel – Preparing this workshop, I realised I’d never actually worked with audio data. We’ve been referring to data that Spotify has, on things like, how upbeat a song is – so that’s audio analysis. That would be really interesting and uncommon to look into.

Thank you both!

If you’d like to find out more about the EARL Conference and the other workshops we have available, please visit here.