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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.
Tue 18 Feb 2025 | Harvey Joyce
Preppin' Data in Python #3: Loops, Pivots, Group Bys
Data preparation is a crucial skill for anyone working with data, whether in analytics, machine learning, or business intelligence. Raw data often needs cleaning, restructuring, and transformation before it can be analyzed effectively. This is where Preppin' Data Challenges come in
Tue 18 Feb 2025 | Harvey Joyce
Preppin' Data in Python #2: Aggregating, Regex and Date Diffs
Data preparation is a crucial skill for anyone working with data, whether in analytics, machine learning, or business intelligence. Raw data often needs cleaning, restructuring, and transformation before it can be analyzed effectively. This is where Preppin' Data Challenges come in
Tue 18 Feb 2025 | Miffy Allen
Understanding Tableau: Blue and Green
One of the first things I learnt when exploring Tableau is that blue indicates a dimension whilst green indicates a measure. It’s Tableau 101. Except it isn’t.
Tue 18 Feb 2025 | Harvey Joyce
Preppin' Data in Python #1: Cleaning, Filtering and Dates
Data preparation is a crucial skill for anyone working with data, whether in analytics, machine learning, or business intelligence. Raw data often needs cleaning, restructuring, and transformation before it can be analyzed effectively.
This is where Preppin' Data Challenges come in
Tue 18 Feb 2025 | Amy Peacham
Data Before the Dashboards: Planning, Prepping & Proofing for Project Success
Stepping into my first week at The Data School, I quickly realised that the key to success in data projects starts long before the first dashboard is built. Understanding data—where it comes from, how it’s structured, and how to prepare it—lays the foundation for meaningful analysis
Mon 17 Feb 2025 | Johann Shin
2 Wege, wie du Parameter in dein Dashboard implementieren kannst
Parameter sind ein zentrales Element auf Tableau, die es den Usern ermöglichen, ihre Dashboards mehr interaktiv zu gestalten. Nutzer können über die Implementierung von Parameter ihre angezeigten Daten dynamisch anpassen, ohne das gesamte Dashboard neu zu laden oder mehrere Seiten zu erstellen
Wed 29 Jan 2025 | Ahsen Polat
Diskretes und fortlaufendes Datum in Tableau: Der Unterschied und wie man sie effektiv nutzt
Wer mit Tableau bereits gearbeitet hat, kennt, dass es sowohl blaue als auch grüne Pillen gibt, nachdem Tableau mit einer Datenquelle oder einer Datei verbunden wurde.
Datumswerte gibt Tableau als blaue Pille wider
Sat 15 Feb 2025 | Miffy Allen
Data Prepping: Splitting Columns
Before diving into analysis, data needs to be understood and cleaned. One option for cleaning is splitting columns.
Sun 16 Feb 2025 | Victor Yuan
Stop Floating Around! Build Better Dashboards with Containers
Why are tiled layouts the better option for dashboards? How do you use containers instead?
Mon 03 Feb 2025 | Rosh Khan
All The Date Functions in Tableau
For this guide, I want you to refer to two things to make it easy for you to understand the different date functions in Tableau. 1) I will be using Tableau's sample data's "Order Date" field from Superstore Sales to refer to times we want to make a calculation
Fri 14 Feb 2025 | Aronas Zilys
Dashboard Design Fundamentals: A Quick Clean-Up Project & Reflection
Dashboards are powerful tools for data visualization, but they need to be designed thoughtfully to ensure clarity and usability
Thu 13 Feb 2025 | Robbin Vernooij
What did it take to get into DS49?
DS49 their journey at the Data School two weeks ago. A perfect time to look at what it took for them to get in!
Want to know more?
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