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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
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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 16 Sep 2026 | Ping HIll
Sigma for Tableau Users: Building Your First Parameter
I recently started learning Sigma and was surprised by how intuitive and easy this BI tool is to learn compared to others
Wed 16 Sep 2026 | Ben Hayward
How to Pass Your Alteryx Designer Advanced Certification Exam
Earning your Alteryx Designer Advanced Certification is a great way to test and prove your Alteryx skills. The exam is free and open book, so the pressure is low, feel free to give it an attempt before revising the areas you struggled on
Wed 16 Sep 2026 | Serena Purslow
What did it take to get into DS60?
DS60 are nearly three weeks into their four-month training programme at The Data School, so it's time we reflected on what it took for them to get the job!
Tue 15 Sep 2026 | Stefani Hermanto
How to Create a Bump Chart with Multiple Rankings in Tableau
If you've ever created a bump chart before, you'll know that it's easiest to make one over time, but this doesn't always highlight the insights you need because this limits you to just one ranking
Fri 04 Sep 2026 | Skyla Patterson
Basics of Regex
Regex stands for regular expression. It's a sequence of characters that specifies a search pattern, used for finding, removing, or replacing parts of a spring. The benefits of regex is that it's versatile, and can be used in applications like Tableau and Alteryx
Wed 19 Aug 2026 | Dylan Serino
Interactivity with Advanced Parameter Actions: A WoW Walkthrough
Recently I've been working with set and parameter actions in Tableau, and came across a Workout Wednesday that seems simple, but is much more intricate than I thought
Wed 09 Sep 2026 | Nika-Kare Pierre-White
Dashboard Tricks in Power BI
Here is a Dashboard, a recently made (A remake of Robbin Vernooij 's work), using the superstore data. In this blog I will discuss aspects which I thought were most interesting
Wed 09 Sep 2026 | Hayfaa Yaser Qays Al-Sheikh Hamid
From a Simple Table to an Interactive Tableau Dashboard: Comparing Renewable Energy Across Africa
I've always been interested in renewable energy and the role it can play in creating a more sustainable future. As countries look for ways to reduce their reliance on fossil fuels, I find it interesting to explore how the use of renewable energy differs across different parts of the world
Mon 03 Aug 2026 | Bianca Beingolea-Joseph
From Iron Viz to the Data School: Key Takeaways for the Application Process
A few weeks ago, I stumbled upon the existence of the Iron Viz competition. If you haven’t seen it, picture Master Chef but for Tableau Desktop. It’s wild, it’s intense, full of data puns, and for someone diving headfirst into data visualization, it’s an incredible masterclass
Wed 09 Sep 2026 | Kaori Ikarashi
Connecing to an API in Alteryx
API = Application Programming Interface
API allow different applications to communicate with each other.
APIs are useful because they help systems share data and perform actions automatically
Wed 09 Sep 2026 | Lily Kiziriya
Data Engineering in Databricks
What does Data Engineering look like in Databricks?
Data engineering is the practice of designing and building systems that collect, store, and process large amounts of data so organizations can use it to make decisions
Wed 09 Sep 2026 | Kainan Hassan
Wide vs. Tall: How Computers Really Want to Read Your Data
Table sizes will always vary but their orientation will always either be wide or long. Commonly businesses that store their data in excel spreadsheets format their tables for human eyes; clean, wide, and laid out like a grid with months or years separated out across the columns
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