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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.
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
Fri 20 Feb 2026 | Sita Pawar
Parsing Dates in Alteryx
Correctly formatting dates for processing and analysis is a familiar occurrence to any data analyst. Luckily, Alteryx offers a number of ways to quickly do this
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
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
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
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
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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