If you want to stay current, learn new skills, and boost your productivity then this four-day course is for you. The intensive and practical training will give you a thorough grounding in the Modern Analyst’s Toolkit. You will learn about
Each day of training will cover one of these four areas, so you have a solid foundation that you can use in your organisation.
The modular format of the course also means that you don’t need to attend all the days if you already have strong skills in certain areas. You can simply pick the days that interest you.
The training will be delivered by Steph Locke and Andrew Collier – two fantastic trainers and data scientists.
Need to convince a manager? Give them our Overview sheet for the training! Download overview
Each day will be structured to cover a technology starting with the basic principles and getting more advanced throughout the day. The rough daily layout will be:
You’ll need a laptop. You’ll be doing exercises so that you get familiar with the code and the concepts, as well as viewing the online course handouts, and accessing the training group’s Slack channel. We use online coding environments so all you need to have installed is a web browser (for best results this should be a recent version of Chrome or Firefox).
If you want to do everything on your machine, we’ll upload some high-level install docs to the Slack channel before the event. Note that as we want you and the others on the training to get the most out of each day, if you encounter problems due to using your device to run things on, we’ll ask you to switch to the online environments and will help you troubleshoot during breaks.
Before the event we’ll invite you into the Locke Data Slack workspace and the private channel for your course. We’ll share links, useful pre-reading, and more. This’ll be a place you can ask questions during the course and post achievements afterwards.
On the first day of the course, you’ll be given access to our online materials and our lab environments, meaning you can spend more time learning and less time solving computer woes.
Each day you’ll get refreshments and lunch to keep you chipper and able to learn.
After the training, you’ll have access to our online materials FOREVER. We’ll also let you share the link inside your organisation. You’ll also be able to access the lab environments for a week after the training so you can recap when you get back to work.
If you buy the library add-on, we’ll ship you a pack of great books that will help you go deeper into what we’ve covered and extend your knowledge further.
The event is being held just outside of Bristol's Temple Meads Station at the Engine Shed. It's incredibly easy to get to via train or local public transport. You should be able to make it from Swansea, Cardiff, Exeter, and even Reading, Birmingham, or London if you don't mind getting up a little early.
The event is priced to give more discounts the more days of the course booked. To get booked and to arrange payment, please contact training@itsalocke.com.
We also offer additional discounts if you are a student, an academic, unemployed, or work for a non-profit organisation.
If you are travelling via train check out this nifty reduced rail fare offer.
The event is adding a digital attendance option for those who are interested but unable to physically attend.
The event is priced to give more discounts the more days of the course booked. To get booked and to arrange payment, please contact training@itsalocke.com.
Day One focuses on modern Excel (think 2013+!) and best practices for storing, analysing, and presenting data in Excel.
Day Two is all about getting data out of databases using SQL. This will allow you to easily query the databases within your organisation and a number of online public databases. SQL is a truly vital skill!
Day Three is all about R. R is useful on its own, it can be used in-database, and lots of systems like Power BI and Tableau allow you to integrate R code into reports, so it's a super useful language to know.
Day four focuses on Python. Python, similarly to R, is a popular language for data science and analytical work. Whilst R is great for standalone work, knowing Python means you can help get your code into existing applications. Knowing both languages can help you pick the right one for the job!