Here at Locke Data, we love helping people use their data better so we try to present at user groups and conferences as much as we can.

You can stay up to date with where we’ll be here or if you’re super dedicated, you can use the iCal to add it to your Outlook or gmail.

If you’d like to find out about community events we’re involved with as organisers, check out our About Us page.

June 2017

Mon Tue Wed Thu Fri Sat Sun
  • SQL Grillen : Failing my way to success with Azure
  • Newcastle SQL & R Groups: Intro to R workshop
  • R North East & SQLNE: Data + Docker = Discombobulating?
  • Data Science Executive Briefing
  • Data Science Technologies: R & SQL Server for real-time predictions
  • Power BI London: Using R to solve Power BI pain points
Talks Workshops Training Contact
We love to speak at user groups and conferences! For groups outside of the UK, or in the hard to reach places in the UK, we offer remote talks. We will run a public workshop with a user group where the funds generated over our costs incurred go to the group – no strings attached. Read about our community workshops for extra details. We will run private on-site training, public online training, or public in-person training. Any public courses will be included below. Contact us to arrange a new training event.

  • Data Science Executive Briefing

    27/06/2017 @ 12:00 - 14:00
    onezeero, 107 Leadenhall St, London EC3A, UK

    Data science aims to use data to build processes that help automate away low-value work, help people take the most effective action, and help people adapt more quickly to changing circumstances. Data science is identifying when to send out engineers, which customers to talk to, and which patients to send to a consultant. Data science is saving people money and helping them make more of it.

    In this briefing, we'll join the dots between the challenges your organisation is facing and data science to help you determine if data science is a good strategic fit. We'll then go on to provide tactical advice from the field to help you deliver a data science initiative successfully.

    Email Dom to get a spot

  • Data Science Technologies: R & SQL Server for real-time predictions

    27/06/2017 @ 18:00 - 21:00

    Embedding your R (and soon Python!) models in SQL Server enables you to add predictive capabilities to your applications and analytics in place of buying expensive components or making substantial changes to your systems. In this demo-packed talk, you'll see how you can go from a model built in R to making predictions on the fly in SQL Server 2016.

    Data Science Technologies

  • Power BI London: Using R to solve Power BI pain points

    29/06/2017 @ 18:00 - 20:30
    CodeNode, 10 South Pl, London EC2M 7EB, UK

    This session will look at how PowerBI dashboard developers can use R to solve data import and data visualisation challenges. By the end of this session, you'll know how you can use R to connect to more data sources, do sophisticated data transformation easily, avoid spatial data point limitations, and build custom graphics.

    Power BI London

  • Devteach Montreal

    04/07/2017 - 06/07/2017
    Delta Hotels by Marriott Montreal, 475 Avenue du Président-Kennedy, Montréal, QC H3A 1J7, Canada

    Three talks
    1. Is the cloud cost effective?
    2. Data + Docker = Discombobulating?
    3. Coping with x2,000 data volumes growth

  • SQLSat Manchester: Intro to R

    14/07/2017 @ 09:00 - 17:00
    Business School, Manchester Metropolitan University All Saints Campus Oxford Road Manchester M15 6BH

    Need to be able to use R? This hands-on day will get you able to do the basics of R, data manipulation, data visualisation, some simple statistics, and working with databases. Along the way, you'll be pick up many R development best practices too!

    SQLSat Manchester Eventbrite page

  • Group By - Statistics 101

    01/09/2017 @ 17:00 - 18:30

    We can be better at our jobs if we have a good grasp of basic statistics.

    It doesn’t matter if you’re a DBA looking to understand query plan performance, a data warehouse person needing to come up with ETL load time estimates, or an analyst needing to report figures to managers. Statistics can help you all.

    If only maths classes hadn’t been so darn boring!

    Instead of going all mathsy, we’ll be doing some real-time data capture and taking an intuitive and visual approach through summary statistics right up to understanding how to produce simple predictive models.

    By the end of the session, you’ll understand concepts like sampling, error, regression, and outliers – important day-to-day stuff and a great base upon which to build. By the end of the session, you’ll wonder how people could have it made seem so hard for so many years.

  • SQL Saturday Cambridge: Data science fundamentals

    09/09/2017 @ 16:10 - 17:10
    The Møller Centre, Churchill College, Storey's Way, Cambridge, Cambridge, England, CB3 0DE, United Kingdom

    Data scientists know the "magic" of making accurate predictions over time.

    Magic is just sufficiently advanced technology, and most of a data scientist's magic is a good process, a robust understanding of data, and the ability to sensibly apply some recipes.

    Let's go behind the curtains and see the process and the fundamentals employed in making any prediction. Learn enough to start adding magic to your own work.

  • SQL Saturday Katowice: Intro to R

    15/09/2017 @ 09:00 - 18:00
    Wyższa Szkoła Bankowa (WSB University), ul. Sportowa 29, Chorzow, Silesian Voivodeship, 41-506 Chorzow, Poland

    This hands-on day is designed to get people up to speed with some of the fundamentals of R. You’ll learn the basics of data manipulation & visualisation, working with databases, and writing reusable code.

    R objects
    R coding – traditional and pipelines
    Table wrangling
    Producing charts
    Working with statistical functions
    Read and writing from databases
    Writing R functions
    Writing R packages

  • SQL Saturday Copenhagen: Advanced R Programming Training Day

    06/10/2017 @ 09:00 - 18:00
    Microsoft Development Center Copenhagen. Microsoft Danmark, Kanalvej 7, 2800 Kongens Lyngby, Denmark

    If you’re relatively comfortable with R but find yourself needing to level up your skills this day is for you. Whether you’re hitting in-memory constraints, needing the latest and greatest machine learning algorithm, having to code defensively, or simply needing to get more stuff done, you’ll get a lot of this day of training. This hands-on day will equip you with more tools for performing data engineering and data science in R.
    We’ll be covering the following:

    – Fast and efficient data processing in R with data.table for improved native R performance
    – Working with active external connections in dplyr to push data manipulation to databases
    – Leveraging functional programming for working with lists, unstructured data objects, and improving error handling
    – Going beyond base R statistics with native-R solutions (caret and the tidyverse) and connected solutions (h2o and spark) for better interfaces, new techniques, and working at scale
    – Incorporating Python, JavaScript, and C++ into your R code to extend R or leverage already coded solutions easily

  • Data Science Fundamentals with R

    10/10/2017 - 11/10/2017

    Come learn the fundamentals of analysis & machine learning in R, and how to operationalise your work.

    In this live two-day course, we’ll take you from no data science knowledge to understanding the fundamentals and being able to put them into production using SQL Server.

    Focussing on using R, you’ll learn how to important exploratory data analysis, build common predictive models, and embed them with best practices.

    You won’t be a PhD in Machine Learning by the end of this, but you’ll be comfortable coding in R and understand the basics of data science.

  • MSFT Data Platform Birmingham: R for Reporting


    Urgh! There’s data science, machine learning, artificial intelligence, and tons of buzz words flying around that make R & Python sound like you need a big fat budget to hire a bevvy of boffins and racks of servers.

    This isn’t the case. R is actually a really nice, practical language that you can use to do ETL and reporting. You can do it for free and you don’t even need a Coursera course in stats to be able to use it.

    In this talk, we’re going to look at how we can get started using R for reporting.

    We’ll look at building dashboards, from connecting to our database, wrangling our data, to presenting good looking charts back to the user.

    Microsoft Data Platform Birmingham

What do you think?