Build your Team
Enhancing your data team with ours
Our consultants come armed with both technical and soft skills to support you to make the most of your data.
The Data School has been paramount to our success at JLL. It has allowed us to bring in highly skilled Tableau and Alteryx consultants. It saves considerable time trying to recruit contractors as I know their skills and training are to the highest standard. Over the past 5 years my team has developed analytical insights which have generated multi million dollar savings of which a considerable amount can be attributed to the Data School consultants we have had working on projects.
Paul Chapman, Global Director of Performance Management, BI and Innovation at JLL
Alteryx
Partner of the Year
EMEA
Tableau
Community Impact 2024
EMEA ESMB
DataIQ
Data for Good Champion
Finalist
DataIQ
Best Data Academy or Skills Development
Finalist
Alteryx
Partner of the Year
Europe
DataIQ
Data for Good Champion
Champion
Tableau
Data for Good 2021
EMEA
What our consultants are working on
We believe that sharing knowledge and expertise is key to driving innovation and growth in the data community. That's why we're excited to share our latest insights, tutorials, and industry trends with you through this blog.
Written by our team of experienced data consultants, these posts aim to solidify their own learning while giving back to the community.
Wed 21 Jan 2026 | Tyler Green
Mastering Spatial Analysis in Alteryx
In Alteryx, standard data prep is pretty simple. You load a file, clean up the text, fix the dates, and get a nice, clean table. That works great for showing what happened.
But a lot of data happens in the real world. It has a location attached to it
Mon 12 Jan 2026 | Francesca Plaskett
Toggle it, just a little bit - How to create a chart toggle button in Tableau
Learn how to create a toggle button in Tableau to switch your chart between two different views.
Tue 20 Jan 2026 | Adrienne Zhang
Tips for Using Containers in Tableau: Part 1
My very first Tableau dashboard consisted almost entirely of floating objects. Every time I needed to resize a chart or add something new, my entire layout would shift and I’d have to realign everything
Tue 20 Jan 2026 | Vivien Lee
All in Good Time - trying to understand Dates in Tableau
In the second week of training we started learning about Tableau basics which means a lot of new terminology, rules, and the hardest thing for me to wrap my head around.
Tue 20 Jan 2026 | Harry Singler
A Guide to Converting Field Types in Tableau
Type conversion functions are how you force Tableau to treat a field as the right type. You are basically converting it from one data type to another, which Tableau calls casting.
Example: if a date is stored as a string, Tableau will not see it as a real date
Tue 20 Jan 2026 | Tyler Green
SQL - Subqueries and CTEs
In my previous blog post covering SQL, we covered its foundations: how to retrieve specific data, join tables together, and aggregate rows to find trends. These commands (SELECT, FROM, JOIN, GROUP BY) are the bread and butter of data analysis in SQL
Mon 19 Jan 2026 | Alvaro Gonzalez
Loading Data: AWS S3 to Snowflake
Loading data is the process in which you take extracted data and store it in a destination system typically for use in analytics or machine learning
Sun 18 Jan 2026 | Rosh Khan
OpenWeather API | Python and Azure Blob Storage
Overview
I recently built a Python pipeline to fetch current weather data for London from the OpenWeatherMap API, and I wanted to share the process in a step-by-step guide
Sun 18 Jan 2026 | Tyler Green
Mastering Maps: A Guide to Spatial Analysis in Tableau
In Tableau, standard mapping is easy. You drag "City" or "State" onto the canvas, and a dot appears. It works perfectly for showing where things are. But real-world analysis often requires understanding the relationship between locations
Sat 17 Jan 2026 | Bethany Haysom
What's the difference between Live and Extract Data Sources?
When you start a workbook in Tableau Desktop, the first step is connecting to a data source. From this you can perform analysis and the data can be used. However, with large databases that are frequently updating you must decide how to make this connection
Fri 16 Jan 2026 | Jacob Aronson
Introduction to Sentiment Analysis in the Tableau Ecosystem
Textual data is ubiquitous in the internet age, with social media providing a wealth of opportunities to learn about people's opinions about virtually everything. Although Tableau is more focused on quantifiable data, it is also capable of analyzing text to extract the sentiments within it
Want to know more?
Whether you're planning for the future or you have a project that needs to get started next week our team are more than happy to help.
Complete our contact form with your name, company email and a brief message and we will get back to you as soon as we can.