Applications for cohort 4 are now closed. We will be accepting applications for our next intake at The Data School on 20 March 2017 with applications being accepted until Friday 21 April 2017. Any submissions after 21 April will NOT be considered for this intake (although please feel free to register your interest for a subsequent start date if you cannot make this one).

Frequently Asked Questions

Can The Information Lab provide sponsorship for individuals without working visas for the UK.

Not currently. We may offer this in the future. All applicants need to have authorisation to work in the U.K.

Do successful applicants to The Data School have to pay for tuition?

No. You will be paid to attend the school. You will become an employee of The Information Lab on a fixed term contract for two years. Expect to spend four (4) months in the school and then the remainder of the time working on placements with clients.

What can I do to have the best chance at getting a place?

We’re asking for people to submit work built in Tableau Public. Review the Tableau Public Gallery and check out the featured authors to see the quality of work published by other authors and try to emulate their work. Check out The Data School blog and see what previous cohorts have created to get a sense for the quality we are looking for.

Are there details about what I’ll learn?

The focus of The Data School is to make the students brilliant analysts. To do this, we need to cover a wide variety of hard and soft skills. A great amount of time will be spent learning Tableau Desktop, Tableau Server and Alteryx. You’ll also spend a lot of time learning how to become a good presenter, how to tell stories, how to work with clients, etc. At the end of four months, you’ll be an incredibly well-rounded analyst.

Application Process

Feedback is given on your submissions wherever possible, so the earlier you are able to submit your content, the more opportunity you will have to iterate and make your application the best it can be before the final application deadline.

Stage 1: Create some content in Tableau public and send us links to this content (more information on how to get started with this below) – the sooner the better. Please send completed content to us by emailing

Stage 2: Those that have created interesting content which we feel demonstrates a passion for the field of data visualisation will be invited to interviews after we receive your content.

To get started with creation of content in Tableau Public, here’s a few steps you should follow:

Step 1: Create a data visualisation using Tableau Public, and publish it to the web so that we can see your work.

Tableau Public can be downloaded from:

You can get an idea on how to get started with Tableau Public from these videos

Step 2: Your work can be on any subject you like – be as expressive and creative as you can!

You can use open source data from Wikipedia,, your favourite sports team’s website, or any source at all!

If you’re looking for more data sources, you can also download some samples here.

Step 3: Look at the kind of work that has already been published to Tableau Public to get an idea of what we’d like to see.

Need some inspiration?

  • Here’s what the first Data School cohort did for their interviews and here’s what third cohort created for their final interviews.
  • The Tableau Public Gallery is a good place as well.
  • And if you want to seriously impress us then take a look at some of the profiles of the featured authors.
  • Or have a look at The Data School blog to see the kind of content the team regularly produces.

If you feel you want to reach out to us for help, please feel free to email Andy Kriebel (Head Coach at the Data School).

Best of luck!