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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 25 Feb 2026 | Miles Cumiskey
Creating WCAG 2.1 Compliant Alternative Text for Tableau Dashboards
The primary goal of data visualization is to communicate insights accurately and efficiently. For professionals who rely on assistive technology, Alternative Text (Alt Text) ensures these insights remain accessible when a visualization cannot be seen
Mon 23 Feb 2026 | Francesca Plaskett
CTEs in SQL - Not alphabet soup but a different way to think about code
Follow along as I walk through what CTEs are and when/how you might use them.
Thu 19 Feb 2026 | Francesca Plaskett
Sub-queries in SQL - Direct your sandwich-related questions elsewhere
Learn how to write a variety of sub-queries in SQL with examples.
Mon 23 Feb 2026 | Jacob Aronson
Cluster Analysis in Tableau
Oftentimes, when an analyst creates a scatterplot they are searching for some kind of correlation between the variables. Although lesser known, scatterplots also open the door to cluster analysis, a quantitative approach for creating subgroups within a larger group of records
Mon 23 Feb 2026 | Durkka Rajasegaram
Introduction to Data Scaffolding ft. a Tableau Prep example
Introducing the concept of scaffolding in data and why we would need it, with a simple example in Tableau Prep for a better understanding.
Mon 23 Feb 2026 | Bethany Haysom
How to be the first project manager
This week I took on the role of Project Manager for our cohort's first client project. This was internal with the mock-company ‘Prep Air’, and was a chance to get our head around the structure of client projects
Mon 23 Feb 2026 | Elda Ketena
Walk through of Week 4 (2023) Data Preppin' Challenge
Data preppin' Challenge Week 4 - 2023
Input Data
Output Data
Whenever you are doing data prep the best thing you can do first is carefully look at the input and output data and plan! This will make the process of cleaning the data much smoother
Sun 22 Feb 2026 | Fotiana Yan
Workout Wednesday Challenge - Step by Step Waterfall Chart
For this Workout Wednesday I've chosen a challenge that incorporates everything that we have learned about Tableau at the Data School so far. It was definitely a lot harder than I initially thought but I've learned valuable techniques
Wed 18 Feb 2026 | Elda Ketena
Pre-attentive Attributes
When visualizing data there are some essential practices that once you adopt will make your data not only more visually appealing but way more digestible.
Length/width
* Length allows the viewer to easily see the highest value
Thu 19 Feb 2026 | Fotiana Yan
It’s a Date! Making Sense of Alteryx Date Functions
For my first personal development session I chose to practice my data cleaning skills in Alteryx through the following challenge "Alteryx Challenge #464 - Bank Failure Analysis".
Wed 18 Feb 2026 | Sharon Orazulike
Date Functions in Tableau
Getting your head around date conversions can be a little tricky; I still do not fully understand all of the functions myself. However, we shall all become masters by the end of this blog!
First, we need to understand what discrete and continuous mean
Fri 20 Feb 2026 | Martin Regan
Baseball Analytics in Python: Part 2
In our last post, we learned how to get hitting statistics for a single player using the MLB Stats API with Python. If you missed it, you can find that post here: https://www.thedataschool.co
Want to know more?
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