Overview
Our application process has recently changed and we have moved to an open application process. We have cohorts starting every four months in April, August 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:
| Cohort | Application Deadline | Start Date |
|---|---|---|
| DSAU6 | February 9, 2020 | April 5, 2020 |
| DSAU7 | June 8, 2020 | August 3, 2020 |
| DSAU8 | October 5, 2020 | November 30, 2020 |
Applying to The Data School Australia
Here’s everything you need to know about applying to The Data School Australia. If you’re wanting a place at the UK Data School you’ll need this application page.
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, send it to us! 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.
PLEASE NOTE: Whilst we do appreciate your passion for data, our coaches can only review one visualisation per application. Please send us only the link to the viz that you would like us to review.
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 Craig. 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 register your interest, simply complete the following form. We’ll send you a bunch of Tableau resources, more information on submitting your application and invites to our meet & greet events.
Frequently Asked Questions
Do we get paid to learn?
Yes, you will be paid to train at The Data School.
You will become an employee of The Data School Pty Ltd 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 $56,000 for the first year increasing to $58,000 in the second year.
Can The Data School provide sponsorship for individuals without working visas for Australia.
Not currently. We may offer this in the future. All applicants need to have authorisation to work in Australia.
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.