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Our consultants come armed with both technical and soft skills to support you to make the most of your data.
Photo of Paul Chapman, Global Director of Performance Management, BI and Innovation at JLL
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
Partner of the Year$ from Alteryx
Alteryx
Partner of the Year
EMEA
Community Impact 2024$ from Tableau
Tableau
Community Impact 2024
EMEA ESMB
Data for Good Champion$ from DataIQ
DataIQ
Data for Good Champion
Finalist
Best Data Academy or Skills Development$ from DataIQ
DataIQ
Best Data Academy or Skills Development
Finalist
Partner of the Year$ from Alteryx
Alteryx
Partner of the Year
Europe
Data for Good Champion$ from DataIQ
DataIQ
Data for Good Champion
Champion
Data for Good 2021$ from Tableau
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.

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Thu 15 Jan 2026 | Roshan Desai
Tableau's Order of Operations
Order of Operations: Firstly, what is the Order of Operations in Tableau? It is the order in which tableau does things to your data before it shows up on your screen. Therefore, to understand how Tableau works it is useful to understand the order in which it manipulates and filters your view
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Thu 15 Jan 2026 | Tobin Hardy
Take the Blue Pill or the Green Pill: understanding filters in Tableau
You may have noticed in Tableau that some fields are BLUE and some are GREEN. But have you ever wondered why they are different colours? In Tableau these colours represent which fields are discrete and which are continuous
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Fri 09 Jan 2026 | Lorna Brown
What did it take to get into DS55
And just like that we are on our 55th cohort of The Data School. Let's see what it took to get in If you are interested in joining you can apply for The Data School here
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Wed 14 Jan 2026 | Daniel Bostrom
How to store secrets using environment variables in Python
If you're writing Python code in which you authenticate with an external system, you're likely using some kind of confidential secret (an API key, a password, a token, etc.)
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Wed 07 Jan 2026 | Sita Pawar
Global Trends in Lunar Folklore
The Mythology and Folklore Database offers a centralized, digital compendium of data on folklore and oral traditions, largely based on the Berezkin Motif Catalogue.
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Mon 12 Jan 2026 | Tomo Mensendiek
How to Dark Mode in Tableau
This is a very simple way to make an interactive dashboard that toggles between light and dark themes. I linked a dashboard I built using this concept and also resources for format/style choices.
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Tue 13 Jan 2026 | Nicola Huetz
Save the Date: Some useful date calculations for Tableau
This is an overview and explanation of the most common date calculations.
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Mon 12 Jan 2026 | Daniel Bostrom
Python Logging
Logging is a way to document the way your Python code is running (even when it's automated and you're not actually seeing the statements it's printing to the terminal). It generates a log file that provides updates of varying levels of severity on the way your code is running
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Tue 06 Jan 2026 | Sita Pawar
Creating Schemas with dbdiagram.io
dbdiagram.io is a delightful, free tool for quickly creating database diagrams using a code-based approach. This style of visualization helps you avoid running out of space, over-relying on a mouse, or wrestling with formatting issues common in traditional diagramming tools
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Mon 12 Jan 2026 | Bethany Haysom
Data Prep Basics
After my first week at The Data School, I already feel like my understanding of data has grown! In week 1 of our four months of training, we learned about the basics of data preparation - from cleaning and reshaping data, to combining multiple data sources
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Sat 10 Jan 2026 | Tobin Hardy
Tips for Tackling Your First Friday Project
As I reached the Friday of my first week at The Data School, we were assigned our first “mock” client project and our first real opportunity to put everything we had learned into practice
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Mon 05 Jan 2026 | Lily Kiziriya
Fact Tables vs Dimension Tables
In week 1 of training, we covered the concept of snowflake schemas to represent the logical connections between data tables

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