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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.

Fri 20 Feb 2026 | Oscar Kriebel
Python or Prep: How do they compare?
At the start of my time at the Data School, we began to cover how to do data preparation. The first tool we used for this was Tableau Prep, closely related to the Tableau Desktop that we had to use for our applications
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Thu 19 Feb 2026 | Jacob Aronson
From Novice to Trainer in 1 Month: Lessons From My Crash Course in Alteryx
Data School training focuses on two main analytical programs: Tableau and Alteryx. Until several weeks into training, I had gotten a lot of experience with Tableau (including the application process) but none with Alteryx
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Tue 17 Feb 2026 | Ellie Kershenbaum
How To Convey Statistics within Charts
Statistics help us understand our data in ways that headline figures cannot. An average on its own can be misleading; it may hide variation, extremes and patterns within different groups
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Fri 20 Feb 2026 | Kib Cheung
Dynamic Tooltips that Keep Up with Dashboard Interactivity
Ever had a 'simple' label request turn into a math headache? I built an Ethnicity chart where labels and tooltips adapt instantly to department filters
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Thu 19 Feb 2026 | Daniel Bostrom
Types of dbt Tests
One of the many advantages of using dbt instead of transforming your data directly in your data warehouse is the extensive set of options you have to assess data quality
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Thu 05 Feb 2026 | Roshan Desai
Dynamic Zone Visibility and switching graphs with parameters in Tableau
Dynamic Zone Visibility in charts Tableau dashboards are generally not static, but dynamic, thus using dynamic visibility in our dashboards allows the user to explore different aspects of the data. Dynamic visibility lets you show or hide elements in a dashboard based on user interaction
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Wed 18 Feb 2026 | Francesca Plaskett
How to write a SQL query and what each basic clause means
A breakdown of writing SQL queries, explaining the writing order and meanings of the basic clauses with examples.
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Thu 12 Feb 2026 | Tomo Mensendiek
Drill Down with Dynamic Zone Visibility
Another post about how to use parameters to dynamically change your view. This one is about Dynamic Zone Visibility (DZV). DZV allows you to show or hide your sheets from the dashboard depending on the value of the parameter
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Wed 18 Feb 2026 | Tobin Hardy
Week 7: Workout Wednesday's
Over the past week I have produced 3 Workout Wednesdays. WOW 2024 Week 32 The first of which asked me to create a dashboard looking at how old medalists in each sport have been, with the ability to highlight a certain age or older
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Wed 18 Feb 2026 | Tomo Mensendiek
Using Sheets as a Parameter
Here is how you can have a sheet acting like a parameter. This method is useful if you want to have a parameter that dynamically updates - meaning the drop down for the parameter changes with different interactions
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Wed 18 Feb 2026 | Nicola Huetz
WINDOW_AVG Issues During WOW 2024 week 49
While I was trying to figure out WOW 2024 week 49 I ran into issues with the WINDOW_AVG function, which made it clear that I hadn't fully understood it
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Wed 18 Feb 2026 | Vivek Patel
Why I Stopped Using Red and Green Together in Dashboards
As a data analyst, red and green feel like the obvious choice. Green means “good.” Red means “bad.” Simple, right? Not always

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