Our application process has recently changed and we have moved to an open application process. We have cohorts starting every two months in February, April, June, August, October, and December.

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.

NOTE: Deadline and start dates are subject to change in light of the current situation regarding Covid-19.


DS22 16/10/2020 01/02/2021
DS23 12/02/2021 05/04/2021
DS24 16/04/2020 07/06/2021
DS25 11/06/2021 02/08/2021
DS26 13/08/2021 04/10/2021
DS27 15/10/2021 06/12/2021

1. Join Tableau

Join the community and download Tableau Public by creating a new account. For tips on how to get started, these videos are great.

2. Get Inspired

From the submissions of our very first class, to the Tableau Public Gallery, there’s brilliant examples for you to look at and research. Need more inspiration, check out Coach Andy’s page to see what previous cohorts have created to get into The Data School.

3. Find Your Data

Choose any data set you want! We mean it; from politics to sport, TV and popular culture. Tableau provide many data sets on their resources page. Still unsure of what data to use? Check out the 90+ datasets available on the Makeover Monday website. Our top tip is to find data that interests you.

4. Create Your Viz

Now the fun begins! Once you have your data set, you can begin creating your winning viz! Once it’s ready, publish it for all to see. Need help? Get in touch with any of the team or coaches! We’re more than happy to give advice and guidance.

There are plenty of training videos on Tableau Public and tons of tips written by Data Schoolers past and present.

5. Share It With Us

Once your work is live on Tableau Public and collecting love from the community, apply here! Let our team of coaches help improve your viz. We review all vizzes sent our way and if you get it in early, we’ll provide feedback for you to make it even better. While you’re at it, send us a nice note too. Tell us a little bit about yourself.

6. The Interview

If we see passion, creativity and a flair for data, we’ll follow up with you personally. First, you’ll have a phone screen with Coach Andy. Following that, the best candidates will be invited in for an interview with the team. This is where the real fun begins!

Ready to Get Started?

To get started complete the following form. We’ll send you a bunch of Tableau resources and more information on submitting your application.

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.