Overview

Our application process has recently changed and we have moved to an open application process. Interested in a specific cohort that works well for you? Apply for that one! Interested in the next cohort? Apply for that one! In other words, we’re always accepting applications. Note that we still need to have deadlines for making offers for each cohort. Those are indicated by the stars in the image above. Register your interest here.

Still interested? All you have to do is submit a piece of work built in Tableau and published to 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.

Once you’re ready, email it to us at dataschool@theinformationlab.co.uk.

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 dataschool@theinformationlab.co.uk.

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: https://public.tableau.com/s/

You can get an idea on how to get started with Tableau Public from these videos https://public.tableau.com/s/resources

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, data.gov.uk, 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!

Do we get paid to learn?

Yes, you will be paid to train at The Data 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. The salary is £30,000 for the first year increasing to £35,000 in the second year.

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.

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.