Build your Team
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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Community Impact 2024
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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.
Mon 13 Jul 2026 | Charles Yi
Creating an AI Wrapper Around VizQL Data Service (VDS)
MCP Servers have made it easy to connect AI agents to external tools and data sources. But easy access doesn't mean accurate results. When I wired up Tableau's MCP Server to an AI agent, the agent could query my datasource — it just couldn't do it reliably
Sun 12 Jul 2026 | Jalil Cooper
Why Understanding Data Structures is Important to the Data Cleaning Process
Keywords: Table, record, data field, measure
Before analyzing data it is imperative to clean and (potentially) reshape it so that it is easier to analyze and work with
Tue 07 Jul 2026 | Joss Lazenby
Git & GitHub: What, Why & How?
This week, nearly 1 year after I started at The Data School, I was fortunate enough to join DES7 - our seventh data engineering cohort
Fri 10 Jul 2026 | Kate Crawford
Customizing Amazon Redshift for Serverless Data Warehousing
Pre-requisites
* Data stored in an S3 bucket.
* Access to an AWS console.
* Be clear on the scope of your environment for IAM setup.
This tutorial will help you to stand-up a testing environment and use Amazon's Query Editor v2.
I
Fri 10 Jul 2026 | Davy Ly
Git Staging vs. Data Staging
There are the term staging in Git and staging in the data load process, they are fundamentally different concepts that just happen to share the same word
Fri 10 Jul 2026 | Joe O'Connor
Git and GitHub: A Beginners Guide
When you start working on a project, you quickly realise that nobody writes code in isolation.
If everyone just edited the same live files, things would break constantly
Fri 10 Jul 2026 | Joe O'Connor
Moving Beyond print(): Why You Need Python Logging
When I started out learning to write Python scripts, print() is the easiest way to debug. If you want to check if a variable updated or a loop actually ran, you just print it to the console
Thu 09 Jul 2026 | Mila Kholodiy
How to prepare for the Alteryx teaching session at Data School?
Planning your first Alteryx training? Here are some practical tips and lessons learned from delivering a 1.5-hour Data School session, covering everything from preparing slides and exercises to engaging your audience and ensuring participants get plenty of hands-on practice
Thu 09 Jul 2026 | Harvey Lloyd-Smith
An Introduction to Git and Version Control
Version control is an essential practice within software development and data engineering and concerns the tracking and management of changes to files
Thu 02 Jul 2026 | Stefani Hermanto
10 Beginner Tips and Tricks for Alteryx Designer
Alteryx Designer is a data preparation tool that can be very powerful if used to its full potential, but as with any software, there can be a learning curve. In this blog post, I'll cover 10 tips and tricks that can help beginners get used to the software and use it more efficiently
Wed 08 Jul 2026 | Salome Grasland
What Actually Happens at a Data School Final Interview
Every recruitment cycle, I hear the same questions from candidates heading into their final interview.
What should I expect? Are there behavioral questions? What should I wear? Is there anything after this?
The short version
You get a dataset ahead of time. You build a Tableau dashboard
Tue 07 Jul 2026 | Maria Andreetti
How Data Granularity Can Shape Analysis
You check into a hotel and get a rate per night. A stock trader watches a price update every millisecond. Both are 'data', but captured at widely different resolutions for very different reasons
Want to know more?
Whether you're planning for the future or you have a project that needs to get started next week our team are more than happy to help.
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.