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.


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.

  • 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 training day

    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

  • SQLSat Katowice: Build your first bot – no code required!

    16/09/2017 @ 15:15 - 16:15
    Wyższa Szkoła Bankowa (WSB University), ul. Sportowa 29, Chorzow, Silesian Voivodeship, 41-506 Chorzow, Poland

    Learn how to build a bot that will answer questions asked by users. Learn how to customise it and embed it on your website. Learn how to do all of this without having to write a single line of code.

    I’ll be using Microsoft’s site to build an FAQ bot and the putting it live with an Azure Bot Service and the Skype Web Control. The end result is a little snippet you can add to any web page, making implementation a breeze.

    You can follow along as I build the bot live, or just soak it all in. Either way, you’ll see how easy it is to build a bot and you’ll know the next steps to follow to start building more complex bots.

    SQLSat Katowice

  • SQL Saturday Holland: Introduction to R training day

    29/09/2017 @ 09:00 - 18:00
    Hotel Mitland Utrecht, Ariënslaan 1, 3573 PT Utrecht, Netherlands

    This hands-on one day training takes you from zero R knowledge to being able to write R code that will talk to your database, produce summaries and charts from it, and output the results in great looking reports.
    - Throughout the day you'll learn how to:
    - Work with the most common R IDE
    - Manipulate common R objects
    - Connect to databases and spreadsheets
    - Slice and dice tabular data
    - Produce great data visualisations
    - Generate web pages, PDFs, and more with your analysis

  • Data science fundamentals and operationalising R

    02/10/2017 - 03/10/2017
    Traverse 3, 3905 Veenendaal, Netherlands

    - Using Microsoft R Server
    - Implementing R in SQL Server
    - Using Azure ML, from GUI to publishing from R
    - Embedding R in Power BI

    - The data science process
    - Common types of models
    - Preparing data for modelling
    - Sampling strategies
    - Building models
    - Evaluating models

  • 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

August 2017

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What do you think?