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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.
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 11 Apr 2025 | Kieran Joymungul
How much I didn't know...(useful tips for aspiring analysts)
Have you ever tried to apply a calculated field and it didn’t work in the way you wanted - or at all? As a self taught Tableau Public user I often encountered this issue - especially when working with BIG datasets and I never understood why
Fri 11 Apr 2025 | Agnes Amer
My first week at The Data School - DS 50
And so my first week at The Data School is complete! After so much anticipation, it has been so lovely to be made to feel so welcome by everyone I have met. Everyone has made every effort to welcome my cohort, the soon-to-be-seminal, DS 50 to TIL
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Wed 13 Dec 2023 | Lorraine Ferrusi
Data Warehouse Architecture
Designing a data warehouse requires careful planning to meet business needs and support efficient data analysis. When designing a data warehouse, there are two routes: the Bill Inmon top-down approach or the Ralph Kimball bottom-up approach
Tue 15 Apr 2025 | Stella-Sophie Bukowski
Fact Table vs. Dimension Table — What is the Differences Between the Two?
Understanding the difference between a fact table and a dimension table can help you store and analyze your data more efficiently
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Wed 13 Dec 2023 | Lorraine Ferrusi
Data Warehousing 101
Imagine walking into a library with millions of books scattered across the floor - no labels, no shelves, no order
Sun 13 Apr 2025 | Louis Phipps
Stepping Into TIL: My First Week at The Data School
Hello to the lucky few that may be reading this, my name is Louis Phipps and this is my very first blog post! I have just completed my first week here at the Data School and what an introduction it has been
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Fri 11 Apr 2025 | Kristupas Justas Jucaitis
First Week at The Data School
And just like that... I couldn't help, but wonder... it is time to write my first blog. I am very much feeling my Carrie Bradshaw fantasy right now
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Wed 09 Apr 2025 | Victor Yuan
Superstore Dashboard Project | #5 Building the dashboard
I recently wrapped up a personal project: Superstore Dashboard. Here is the final part of this blog series
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Wed 09 Apr 2025 | Victor Yuan
Superstore Dashboard Project | #4 Building an Orders Table (the "hacky" way)
I recently wrapped up a personal project: Superstore Dashboard. Here is part 4 of this blog series
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Mon 07 Apr 2025 | Le Luu
SQL-Python-Tableau Tips: Pivoting/ Unpivoting Data
In the previous blog, I shared the differences in using GROUP BY and shifting rows across three platforms: SQL, Python, and Tableau. Another common technique when working with data is pivoting
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Mon 07 Apr 2025 | Victor Yuan
Superstore Dashboard Project | #3 Setting Up Parameters, Building KPI Charts and more
I recently wrapped up a personal project: Superstore Dashboard. Here is part 3 of this blog series
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Mon 07 Apr 2025 | Victor Yuan
Superstore Dashboard Project | #2 Sketching a dashboard
I recently wrapped up a personal project: Superstore Dashboard. Here is part 2 of this blog series

Want to know more?

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Complete our contact form with your name, company email and a brief message and we will get back to you as soon as we can.

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